8/2/2016. Measures the degradation/distortion of the acquired image (relative to an ideal image) using a quantitative figure-of-merit

Size: px
Start display at page:

Download "8/2/2016. Measures the degradation/distortion of the acquired image (relative to an ideal image) using a quantitative figure-of-merit"

Transcription

1 Ke Li Assistant Professor Department of Medical Physics and Department of Radiology School of Medicine and Public Health, University of Wisconsin-Madison This work is partially supported by an NIH Grant No. R1CA and a GE Research Agreement Special thanks to the following colleagues and collaborators for their contributions to this presentation Dr. Guang-Hong Chen Dr. Jie Tang Dr. Jiang Hsieh John Garrett Daniel Gomez-Cardona Juan Pablo Cruz-Bastida Yongshuai Ge Adam Budde Dr. Timothy Szczykutowicz Quantitative image quality assessment of conventional linear CT systems Challenges in the quantitative image quality assessment of MBIR-based nonlinear CT systems Potential solutions 1

2 Measures the degradation/distortion of the acquired image (relative to an ideal image) using a quantitative figure-of-merit Advantages over qualitative image quality assessment: Reduces subjectivity associated with qualitative assessments Enables more meaningful comparison of CT systems across institutions and vendors Usually has higher efficiency and lower cost Frequency-independent metrics Noise magnitude CT number uniformity Contrast Contrast-to-noise ratio (CNR) CNR normalized by dose (CNRD) Frequency-dependent metrics Noise power spectrum (NPS) Modulation transfer function (MTF) Task-based detectability index Quantitative CT image quality assessment does not include: Visual determination of linear pair resolution (not quantitative) X-ray beam collimation accuracy (not an assessment of image quality) Measurement of dose-length product (assessment of CT dosimetry instead of image quality) 2

3 (mgy) 2 (HU 2 ) Standard kernel Bone Plus kernel Std. Bone plus HD Ultra MTF Frequency (mm-1) J. P. Cruz-Bastida et al. Med. Phys. 43, 2399 (216) Hi-Res mode with HD Ultra kernel (in vivo results) 2 exp( ul) exp( ul) 2 Patient Size L (mm) Courtesy of Dr. Szczykutowicz Szczykutowicz, T. P., Bour, R. K., Pozniak, M., & Ranallo, F. N. Journal of Applied Clinical Medical Physics, 16, 2 (215) 1 mgy 1 mgy 6 mgy Noise variance (σ 2 ) or noise standard deviation (σ) 1 4 N 2 1 ( xi x) N 1 i 1 1 mgy 1 mgy 6 mgy 1 3 K. Li, J. Tang, G.-H. Chen, Med. Phys. 41, 4196 (214) (mgy) 3

4 2 (HU 2 ).625 mm 1.25 mm z mgy 5 mgy 2 mgy 6 mgy 2.5 mm 5. mm Slice thickness (mm) Contrast C x x feature background W/L: 15/3 Contrast = 1 HU Contrast = 225 HU Contrast = 35 HU Contrast = 4 HU Contrast-to-noise ratio (CNR) CNR C W/L: 15/3 4

5 CNR CNR 4 mgy 8 mgy CNR mgy 16 mgy R 2 =.994 W/L: 3/ Standard kernel Lung kernel Bone+ kernel Edge kernel Highest CNR Fracture least visible Lowest CNR Fracture most visible Signal present Conventional CT Signal absent Differential phase contrast CT DPC-CT noise absorption CT noise Same CNR Different detection performance AUC 1 AUC.88 K. Li et al., Proc. SPIE, 8313, 83131L(212) 5

6 NPS (HU 2 mm 2 ) Normalized NPS (A.U.) Same CNR, different object detectability Contrast = 3 HU W/L: 5/16 CTDIvol = 16 mgy Noise power spectrum (NPS) x y NPS DFT(ROI-ROI) N N x y 2 D. Gomez-Cardona et al., Med. Phys. 43, 4495 (216) The shape of the NPS is independent on radiation dose 12 NPS () 5 mas 2.5 Normalized NPS () 12.5 mas 1 25 mas 5 mas mas 2 mas mas f xy (mm -1 ) f xy (mm -1 ) K. Li, J. Tang, G.-H. Chen, Med. Phys. 41, 4196 (214) 6

7 Point Spread Function Point Spread Function NPS magnitude is independent on contrast level Contrast = 1 HU Contrast = 225 HU Contrast = 35 HU Contrast = 4 HU W/L: 15/3 Point spread function (PSF) or modulation transfer function (MTF) 1.2 HD Std. HD Bone plus HD Edge HD Lung MTF.8 Standard Lung Frequency (mm-1) J. P. Cruz-Bastida et al. Med. Phys. 43, 2399 (216) Bone plus Edge Spatial resolution is independent on dose and contrast.25 independence.25 Contrast independence 16 mgy 3 HU 6 HU.2 12 mgy.2 8 mgy 1 HU 4 mgy 225 HU.15 Question: Are these assumptions.15still valid in MBIR? Position (mm) Position (mm) Li, Garrett, Ge, Chen, Med. Phys. 41, (214) 7

8 2 (HU 2 ) projection data final image update the estimated image forward projection estimated image Noise magnitude is independent on contrast level Li et al., RSNA 214 Annual Meeting MBIR noise-only reconstruction image Solomon and Samei, Proc SPIE 8668, 86684M (213) Solomon and Samei, Med. Phys. 41, 9198 (214) MBIR noise-only image Noise variance is inversely proportional to radiation dose 1 4 (fitting) MBIR (mgy) : MBIR: 2 2 1? 8

9 NPS (HU 2 mm 2 ) Normalized NPS (A.U.) 2 (HU 2 ) The shape of the NPS independent on radiation dose NPS NPS of MBIR (Veo) Normalized NPS NPS of (Veo) MBIR 6 5 mas 5 mas mas 12.5 mas 25 mas 25 mas 45 mas 5 mas 1 mas 1 mas 2 mas 2 mas 3 3 mas 3 mas f xy (mm -1 ) f xy (mm -1 ) K. Li, J. Tang, G.-H. Chen, Med. Phys. 41, 4196 (214) Noise variance is inversely proportional to slice thickness.625 mm 1.25 mm 2.5 mm 5. mm z Veo 1 2 Veo Matched W/L: 5/; CTDI vol = 4 mgy Slice thickness z (mm) K. Li, J. Tang, G.-H. Chen, Med. Phys. 41, 4196 (214).625 mm thin thick 5. mm Veo thin Veo thick Veo.625 mm Veo 5. mm HIPAA-compliant prospective human subject study, IRB-approved 9

10 Slice sensitivity profile Point Spread Function Point Spread Function Slice sensitivity profile K. Li, J. Tang, G.-H. Chen, Med. Phys. 41, 4196 (214) Spatial resolution is independent on dose and contrast contrast = 35 HU contrast = 1 HU mgy.2 12 mgy 8 mgy 4 mgy Position (mm) Position (mm) Li, Garrett, Ge, Chen, Med. Phys. 41, (214) The Z resolution is independent on dose and contrast.15.1 Contrast = 27 HU 25% dose (Veo) 5% dose (Veo) 75% dose (Veo) 1% dose (Veo) 1% dose ().15.1 Contrast = 12 HU 25% dose (Veo) 5% dose (Veo) 75% dose (Veo) 1% dose (Veo) 1% dose () z position (mm) z position (mm) Li, Garrett, Ge, Chen, Med. Phys. 41, (214) 1

11 Noise assessments Contrast dependence Modified dose dependence Magnitude NPS shape Modified slice thickness dependence Magnitude NPS shape Spatial resolution assessments Contrast dependence dependence Spatial resolution assessments at low-contrast and low dose conditions are extremely challenging High contrast, high dose Low contrast, low dose Task-based spatial resolution Repeated scans Noise ensemble Task-based detectability Task-based NPS Task-based edge noise Object edge Gradient image Edge central line Normal cuts Edge profile at arbitrary location High contrast Low contrast Richard et al., Towards task-based assessment of CT performance: System and objective MTF across different reconstruction algorithm. Med. Phys. 39, 4115 (212) Li et al., Statistical Model Based Iterative Reconstruction (MBIR) in clinical CT systems: Part II. Experimental assessment of spatial resolution performance. Med. Phys. 41, 71911(214) Yu et al., Technical Note: Measuring contrast-and noise-dependent spatial resolution of an iterative reconstruction method in CT using ensemble averaging. Med. Phys. 42, 2261 (215) 11

12 NPS peak position f peak (mm -1 ) Width PSF of width PSF (mm) (mm) Width PSF of width PSF (mm) (mm) Veo (mm) % % Contrast (HU) 1% 75% Li, Garrett, Ge, Chen, Med. Phys. 41, (214) 1 At each given exposure level, (mm) the spatial Veo resolution of Veo improves with.8.8 higher contrast level.7 At each given contrast level, the spatial.6.6 resolution of Veo improves with higher dose level.5.4 At some intermediate contrast/dose.4 level, the spatial resolutions of Veo and becomes equivalent 1%.2 75% % % Contrast (HU) Li, Garrett, Ge, Chen, Med. Phys. 41, (214).8.4 (fitting) Veo Veo (fitting) : f peak const..2.1 f MBIR: 1 5 peak dose (mgy) 12

13 2 (HU 2 ) 2 (HU 2 ) 1 3 Veo 2 1 : z 1 2 MBIR: 2 1 z Slice thickness z (mm) (fitting) Veo Veo (fitting) 2 1 : 2 1 MBIR: (mgy).4±.1 1.±.1 Reduced dose Reference dose HIPAA-compliant and IRB-approved D. Gomez-Cardona et al., 215 AAPM Annual Meeting 13

14 ma ma Noise = 15 HU (, 65 mgy) Noise = 15 HU (MBIR,.6 mgy) Problem formulation kv,ma Practical solution argmin (kv,ma) s.t. d'(kv,ma) d ' Black lines: Iso-dose lines; Iso-dose White map lines: Iso-detectability Iso-detectability Iso-d lines map lines () d ' kv kv Li et al., Med. Phys. 42, 529 (215) Routine dose scan Reduced dose scan 12kV 65 ma 19.4 mgy 8 kv 275 ma 2.4 mgy MBIR HIPAA-compliant and IRB-approved Li et al., Med. Phys. 42, 529 (215) 14

15 Major challenges in quantitative image quality assessment of MBIR Violation of several basic assumptions and relationships in CT image quality assessment Nonlinearity of the reconstruction method determines that there is no theoretical basis in deriving the modified relationships For example, how does the shape of the NPS quantitatively vary with radiation dose Potential solutions in address these challenges Empirical relationships between image quality and CT system parameters have been found Try to use frequency-dependent metrics (e.g NPS) rather than zero-frequency metrics (e.g. CNR) Be task-specific rather than task-generic Perform repeated acquisitions rather than shifting an ROI Use model observer detectability to combine noise and spatial resolution metrics with task function Thank You 45 15

CT NOISE POWER SPECTRUM FOR FILTERED BACKPROJECTION AND ITERATIVE RECONSTRUCTION

CT NOISE POWER SPECTRUM FOR FILTERED BACKPROJECTION AND ITERATIVE RECONSTRUCTION CT NOISE POWER SPECTRUM FOR FILTERED BACKPROJECTION AND ITERATIVE RECONSTRUCTION Frank Dong, PhD, DABR Diagnostic Physicist, Imaging Institute Cleveland Clinic Foundation and Associate Professor of Radiology

More information

Limits of Dose Reduction in CT: How low is too low? Acknowledgement. Disclosures 8/2/2012

Limits of Dose Reduction in CT: How low is too low? Acknowledgement. Disclosures 8/2/2012 8/2/22 Limits of Dose Reduction in CT: How low is too low? Ehsan Samei Duke University Acknowledgement Disclosures Research grant: NIH Research grant: DHS Research grant: RSNA, QIBA Research grant: General

More information

8/2/2016. Acknowledgement. Common Clinical Questions. Presumption Images are Good Enough to accurately answer clinical questions

8/2/2016. Acknowledgement. Common Clinical Questions. Presumption Images are Good Enough to accurately answer clinical questions Image Quality Assessment using Model Observers: Clinical Implementation and Practical Considerations Shuai Leng, PhD Associate Professor, Department of Radiology Mayo Clinic, Rochester MN Acknowledgement

More information

1. Deployment of a framework for drawing a correspondence between simple figure of merits (FOM) and quantitative imaging performance in CT.

1. Deployment of a framework for drawing a correspondence between simple figure of merits (FOM) and quantitative imaging performance in CT. Progress report: Development of assessment and predictive metrics for quantitative imaging in chest CT Subaward No: HHSN6801000050C (4a) PI: Ehsan Samei Reporting Period: month 1-18 Deliverables: 1. Deployment

More information

Assessment of 3D performance metrics. X-ray based Volumetric imaging systems: Fourier-based imaging metrics. The MTF in CT

Assessment of 3D performance metrics. X-ray based Volumetric imaging systems: Fourier-based imaging metrics. The MTF in CT Assessment of 3D performance metrics D and 3D Metrics of Performance Towards Quality Index: Volumetric imaging systems X-ray based Volumetric imaging systems: CBCT/CT Tomosynthesis Samuel Richard and Ehsan

More information

Performance Evaluation of CT Systems

Performance Evaluation of CT Systems 8/2/206 Performance Evaluation of CT Systems AAPM Task Group 233 Foundations, Methods, and Prospects Ehsan Samei Duke University Medical Center Disclosures Research grant: NIH R0 EB00838 Research grant:

More information

Spiral CT. Protocol Optimization & Quality Assurance. Ge Wang, Ph.D. Department of Radiology University of Iowa Iowa City, Iowa 52242, USA

Spiral CT. Protocol Optimization & Quality Assurance. Ge Wang, Ph.D. Department of Radiology University of Iowa Iowa City, Iowa 52242, USA Spiral CT Protocol Optimization & Quality Assurance Ge Wang, Ph.D. Department of Radiology University of Iowa Iowa City, Iowa 52242, USA Spiral CT Protocol Optimization & Quality Assurance Protocol optimization

More information

Optimisation of Toshiba Aquilion ONE Volume Imaging

Optimisation of Toshiba Aquilion ONE Volume Imaging Optimisation of Toshiba Aquilion ONE Volume Imaging Jane Edwards, RPRSG Royal Free London NHS Foundation Trust Dr Mufudzi Maviki, Plymouth Hospitals NHS Trust Background In 2011/12 Radiology at RFH was

More information

Disclosures 7/21/2014. AAPM 2014 Challenges and opportunities in assessment of image quality

Disclosures 7/21/2014. AAPM 2014 Challenges and opportunities in assessment of image quality 7/2/24 AAPM 24 Challenges and opportunities in assessment of image quality Ehsan Samei Department of Radiology Duke University Medical Center Disclosures Research grant: NIH R EB838 Research grant: General

More information

Optimization of CT Simulation Imaging. Ingrid Reiser Dept. of Radiology The University of Chicago

Optimization of CT Simulation Imaging. Ingrid Reiser Dept. of Radiology The University of Chicago Optimization of CT Simulation Imaging Ingrid Reiser Dept. of Radiology The University of Chicago Optimization of CT imaging Goal: Achieve image quality that allows to perform the task at hand (diagnostic

More information

8/1/2017. Current Technology: Energy Integrating Detectors. Principles, Pitfalls and Progress in Photon-Counting-Detector Technology.

8/1/2017. Current Technology: Energy Integrating Detectors. Principles, Pitfalls and Progress in Photon-Counting-Detector Technology. Photon Counting Detectors and Their Applications in Medical Imaging Principles, Pitfalls and Progress in Photon-Counting-Detector Technology Taly Gilat Schmidt, PhD Associate Professor Department of Biomedical

More information

3/27/2012 WHY SPECT / CT? SPECT / CT Basic Principles. Advantages of SPECT. Advantages of CT. Dr John C. Dickson, Principal Physicist UCLH

3/27/2012 WHY SPECT / CT? SPECT / CT Basic Principles. Advantages of SPECT. Advantages of CT. Dr John C. Dickson, Principal Physicist UCLH 3/27/212 Advantages of SPECT SPECT / CT Basic Principles Dr John C. Dickson, Principal Physicist UCLH Institute of Nuclear Medicine, University College London Hospitals and University College London john.dickson@uclh.nhs.uk

More information

Quality control phantoms and protocol for a tomography system

Quality control phantoms and protocol for a tomography system Quality control phantoms and protocol for a tomography system Lucía Franco 1 1 CT AIMEN, C/Relva 27A O Porriño Pontevedra, Spain, lfranco@aimen.es Abstract Tomography systems for non-destructive testing

More information

AIDR 3D Iterative Reconstruction:

AIDR 3D Iterative Reconstruction: Iterative Reconstruction: Integrated, Automated and Adaptive Dose Reduction Erin Angel, PhD Manager, Clinical Sciences, CT Canon Medical Systems USA Iterative Reconstruction 1 Since the introduction of

More information

Computed Tomography Imaging: CT Protocol Management. Caveat 8/3/2017

Computed Tomography Imaging: CT Protocol Management. Caveat 8/3/2017 Computed Tomography Imaging: CT Protocol Management Mark P. Supanich, Ph.D., DABR AAPM Annual Meeting 3 rd August, 2017 Slides at: goo.gl/k8n8jf Rush is an academic health system comprising Rush University

More information

Acknowledgments. High Performance Cone-Beam CT of Acute Traumatic Brain Injury

Acknowledgments. High Performance Cone-Beam CT of Acute Traumatic Brain Injury A. Sisniega et al. (presented at RSNA 214) High Performance Cone-Beam CT of Acute Traumatic Brain Injury A. Sisniega 1 W. Zbijewski 1, H. Dang 1, J. Xu 1 J. W. Stayman 1, J. Yorkston 2, N. Aygun 3 V. Koliatsos

More information

MEDICAL EQUIPMENT: COMPUTED TOMOGRAPHY. Prof. Yasser Mostafa Kadah

MEDICAL EQUIPMENT: COMPUTED TOMOGRAPHY. Prof. Yasser Mostafa Kadah MEDICAL EQUIPMENT: COMPUTED TOMOGRAPHY Prof. Yasser Mostafa Kadah www.k-space.org Recommended Textbook X-Ray Computed Tomography in Biomedical Engineering, by Robert Cierniak, Springer, 211 Computed Tomography

More information

Background. Outline. Radiographic Tomosynthesis: Image Quality and Artifacts Reduction 1 / GE /

Background. Outline. Radiographic Tomosynthesis: Image Quality and Artifacts Reduction 1 / GE / Radiographic Tomosynthesis: Image Quality and Artifacts Reduction Baojun Li, Ph.D Department of Radiology Boston University Medical Center 2012 AAPM Annual Meeting Background Linear Trajectory Tomosynthesis

More information

Agenda : Lung Density Breakout Session

Agenda : Lung Density Breakout Session Agenda : Lung Density Breakout Session 1. : Mathew Fuld and Bernice Hoppel 2. Automatic Exposure Control (AEC) Evaluation : Sean Fain Round 4 Project 3. Dose reduction effects on emphysema metrics : Philip

More information

Computed Tomography. Principles, Design, Artifacts, and Recent Advances. Jiang Hsieh THIRD EDITION. SPIE PRESS Bellingham, Washington USA

Computed Tomography. Principles, Design, Artifacts, and Recent Advances. Jiang Hsieh THIRD EDITION. SPIE PRESS Bellingham, Washington USA Computed Tomography Principles, Design, Artifacts, and Recent Advances THIRD EDITION Jiang Hsieh SPIE PRESS Bellingham, Washington USA Table of Contents Preface Nomenclature and Abbreviations xi xv 1 Introduction

More information

DUE to beam polychromacity in CT and the energy dependence

DUE to beam polychromacity in CT and the energy dependence 1 Empirical Water Precorrection for Cone-Beam Computed Tomography Katia Sourbelle, Marc Kachelrieß, Member, IEEE, and Willi A. Kalender Abstract We propose an algorithm to correct for the cupping artifact

More information

CT vs. VolumeScope: image quality and dose comparison

CT vs. VolumeScope: image quality and dose comparison CT vs. VolumeScope: image quality and dose comparison V.N. Vasiliev *a, A.F. Gamaliy **b, M.Yu. Zaytsev b, K.V. Zaytseva ***b a Russian Sci. Center of Roentgenology & Radiology, 86, Profsoyuznaya, Moscow,

More information

7/13/2015 EVALUATION OF NONLINEAR RECONSTRUCTION METHODS. Outline. This is a decades-old challenge

7/13/2015 EVALUATION OF NONLINEAR RECONSTRUCTION METHODS. Outline. This is a decades-old challenge EVALUATION OF NONLINEAR RECONSTRUCTION METHODS Kyle J. Myers, Ph.D. Director, Division of Imaging, Diagnostics, and Software Reliability Office of Science and Engineering Laboratories, CDRH, FDA 2 Outline

More information

CT Protocol Review: Practical Tips for the Imaging Physicist Physicist

CT Protocol Review: Practical Tips for the Imaging Physicist Physicist CT Protocol Review: Practical Tips for the Imaging Physicist Physicist Dianna Cody, Ph.D., DABR, FAAPM U.T.M.D. Anderson Cancer Center August 8, 2013 AAPM Annual Meeting Goals Understand purpose and importance

More information

Acknowledgments and financial disclosure

Acknowledgments and financial disclosure AAPM 2012 Annual Meeting Digital breast tomosynthesis: basic understanding of physics principles James T. Dobbins III, Ph.D., FAAPM Director, Medical Physics Graduate Program Ravin Advanced Imaging Laboratories

More information

Spiral ASSR Std p = 1.0. Spiral EPBP Std. 256 slices (0/300) Kachelrieß et al., Med. Phys. 31(6): , 2004

Spiral ASSR Std p = 1.0. Spiral EPBP Std. 256 slices (0/300) Kachelrieß et al., Med. Phys. 31(6): , 2004 Spiral ASSR Std p = 1.0 Spiral EPBP Std p = 1.0 Kachelrieß et al., Med. Phys. 31(6): 1623-1641, 2004 256 slices (0/300) Advantages of Cone-Beam Spiral CT Image quality nearly independent of pitch Increase

More information

The Near Future in Cardiac CT Image Reconstruction

The Near Future in Cardiac CT Image Reconstruction SCCT 2010 The Near Future in Cardiac CT Image Reconstruction Marc Kachelrieß Institute of Medical Physics (IMP) Friedrich-Alexander Alexander-University Erlangen-Nürnberg rnberg www.imp.uni-erlangen.de

More information

A noise power spectrum study of a new model-based iterative reconstruction system: Veo 3.0

A noise power spectrum study of a new model-based iterative reconstruction system: Veo 3.0 JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, VOLUME 17, NUMBER 5, 2016 A noise power spectrum study of a new model-based iterative reconstruction system: Veo 3.0 Guang Li, 1 Xinming Liu, 1 Cristina T.

More information

Philips SPECT/CT Systems

Philips SPECT/CT Systems Philips SPECT/CT Systems Ling Shao, PhD Director, Imaging Physics & System Analysis Nuclear Medicine, Philips Healthcare June 14, 2008 *Presented SNM08 Categorical Seminar - Quantitative SPECT and PET

More information

AAPM Standard of Practice: CT Protocol Review Physicist

AAPM Standard of Practice: CT Protocol Review Physicist AAPM Standard of Practice: CT Protocol Review Physicist Dianna Cody, Ph.D., DABR, FAAPM U.T.M.D. Anderson Cancer Center September 11, 2014 2014 Texas Radiation Regulatory Conference Goals Understand purpose

More information

Empirical cupping correction: A first-order raw data precorrection for cone-beam computed tomography

Empirical cupping correction: A first-order raw data precorrection for cone-beam computed tomography Empirical cupping correction: A first-order raw data precorrection for cone-beam computed tomography Marc Kachelrieß, a Katia Sourbelle, and Willi A. Kalender Institute of Medical Physics, University of

More information

Automated Image Analysis Software for Quality Assurance of a Radiotherapy CT Simulator

Automated Image Analysis Software for Quality Assurance of a Radiotherapy CT Simulator Automated Image Analysis Software for Quality Assurance of a Radiotherapy CT Simulator Andrew J Reilly Imaging Physicist Oncology Physics Edinburgh Cancer Centre Western General Hospital EDINBURGH EH4

More information

8/7/2017. Disclosures. MECT Systems Overview and Quantitative Opportunities. Overview. Computed Tomography (CT) CT Numbers. Polyenergetic Acquisition

8/7/2017. Disclosures. MECT Systems Overview and Quantitative Opportunities. Overview. Computed Tomography (CT) CT Numbers. Polyenergetic Acquisition Quantitative Multi-Energy Computed Tomography: Imaging and Therapy Advancements Disclosures MECT Systems Overview and Quantitative Opportunities The speaker receives research funding from GE Healthcare

More information

NIH Public Access Author Manuscript Med Phys. Author manuscript; available in PMC 2009 March 13.

NIH Public Access Author Manuscript Med Phys. Author manuscript; available in PMC 2009 March 13. NIH Public Access Author Manuscript Published in final edited form as: Med Phys. 2008 February ; 35(2): 660 663. Prior image constrained compressed sensing (PICCS): A method to accurately reconstruct dynamic

More information

Metal Artifact Reduction CT Techniques. Tobias Dietrich University Hospital Balgrist University of Zurich Switzerland

Metal Artifact Reduction CT Techniques. Tobias Dietrich University Hospital Balgrist University of Zurich Switzerland Metal Artifact Reduction CT Techniques R S S S Tobias Dietrich University Hospital Balgrist University of Zurich Switzerland N. 1 v o 4 1 0 2. Postoperative CT Metal Implants CT is accurate for assessment

More information

7/31/ D Cone-Beam CT: Developments and Applications. Disclosure. Outline. I have received research funding from NIH and Varian Medical System.

7/31/ D Cone-Beam CT: Developments and Applications. Disclosure. Outline. I have received research funding from NIH and Varian Medical System. 4D Cone-Beam CT: Developments and Applications Lei Ren, PhD, DABR Department of Radiation Oncology Duke University Medical Center Disclosure I have received research funding from NIH and Varian Medical

More information

ImPACT. Information Leaflet No. 1: CT Scanner Acceptance Testing

ImPACT. Information Leaflet No. 1: CT Scanner Acceptance Testing ImPACT Information Leaflet No. 1: CT Scanner Acceptance Testing Version 1.02, 18/05/01 CONTENTS: 1. SCOPE OF LEAFLET 2. GENERAL PRINCIPLES OF ACCEPTANCE AND COMMISSIONING 2.1 PHANTOMS 2.2 EXPOSURE AND

More information

Computer-Tomography II: Image reconstruction and applications

Computer-Tomography II: Image reconstruction and applications Computer-Tomography II: Image reconstruction and applications Prof. Dr. U. Oelfke DKFZ Heidelberg Department of Medical Physics (E040) Im Neuenheimer Feld 280 69120 Heidelberg, Germany u.oelfke@dkfz.de

More information

DUAL energy X-ray radiography [1] can be used to separate

DUAL energy X-ray radiography [1] can be used to separate IEEE TRANSACTIONS ON NUCLEAR SCIENCE, VOL. 53, NO. 1, FEBRUARY 2006 133 A Scatter Correction Using Thickness Iteration in Dual-Energy Radiography S. K. Ahn, G. Cho, and H. Jeon Abstract In dual-energy

More information

CT Basics Principles of Spiral CT Dose. Always Thinking Ahead.

CT Basics Principles of Spiral CT Dose. Always Thinking Ahead. 1 CT Basics Principles of Spiral CT Dose 2 Who invented CT? 1963 - Alan Cormack developed a mathematical method of reconstructing images from x-ray projections Sir Godfrey Hounsfield worked for the Central

More information

James R Halama, PhD Loyola University Medical Center

James R Halama, PhD Loyola University Medical Center James R Halama, PhD Loyola University Medical Center Conflicts of Interest Nuclear Medicine and PET physics reviewer for the ACR Accreditation program Learning Objectives Be familiar with the tests recommended

More information

Shadow casting. What is the problem? Cone Beam Computed Tomography THE OBJECTIVES OF DIAGNOSTIC IMAGING IDEAL DIAGNOSTIC IMAGING STUDY LIMITATIONS

Shadow casting. What is the problem? Cone Beam Computed Tomography THE OBJECTIVES OF DIAGNOSTIC IMAGING IDEAL DIAGNOSTIC IMAGING STUDY LIMITATIONS Cone Beam Computed Tomography THE OBJECTIVES OF DIAGNOSTIC IMAGING Reveal pathology Reveal the anatomic truth Steven R. Singer, DDS srs2@columbia.edu IDEAL DIAGNOSTIC IMAGING STUDY Provides desired diagnostic

More information

Micro-CT Methodology Hasan Alsaid, PhD

Micro-CT Methodology Hasan Alsaid, PhD Micro-CT Methodology Hasan Alsaid, PhD Preclinical & Translational Imaging LAS, PTS, GlaxoSmithKline 20 April 2015 Provide basic understanding of technical aspects of the micro-ct Statement: All procedures

More information

Conflicts of Interest Nuclear Medicine and PET physics reviewer for the ACR Accreditation program

Conflicts of Interest Nuclear Medicine and PET physics reviewer for the ACR Accreditation program James R Halama, PhD Loyola University Medical Center Conflicts of Interest Nuclear Medicine and PET physics reviewer for the ACR Accreditation program Learning Objectives 1. Be familiar with recommendations

More information

CBCT Equivalent Source Generation Using HVL and Beam Profile Measurements. Johnny Little PSM - Medical Physics Graduate Student University of Arizona

CBCT Equivalent Source Generation Using HVL and Beam Profile Measurements. Johnny Little PSM - Medical Physics Graduate Student University of Arizona CBCT Equivalent Source Generation Using HVL and Beam Profile Measurements. Johnny Little PSM - Medical Physics Graduate Student University of Arizona Introduction CBCT has become a routine procedure for

More information

Deviceless respiratory motion correction in PET imaging exploring the potential of novel data driven strategies

Deviceless respiratory motion correction in PET imaging exploring the potential of novel data driven strategies g Deviceless respiratory motion correction in PET imaging exploring the potential of novel data driven strategies Presented by Adam Kesner, Ph.D., DABR Assistant Professor, Division of Radiological Sciences,

More information

PURE. ViSION Edition PET/CT. Patient Comfort Put First.

PURE. ViSION Edition PET/CT. Patient Comfort Put First. PURE ViSION Edition PET/CT Patient Comfort Put First. 2 System features that put patient comfort and safety first. Oncology patients deserve the highest levels of safety and comfort during scans. Our Celesteion

More information

CT imaging using energy-sensitive photon-counting detectors. Disclosure. Vision 20/20 paper

CT imaging using energy-sensitive photon-counting detectors. Disclosure. Vision 20/20 paper CT imaging using energy-sensitive photon-counting detectors Katsuyuki Ken Taguchi, Ph.D. ktaguchi@jhmi.edu Division of Medical Imaging Physics Department of Radiology Johns Hopkins University No financial

More information

Contrast Enhancement with Dual Energy CT for the Assessment of Atherosclerosis

Contrast Enhancement with Dual Energy CT for the Assessment of Atherosclerosis Contrast Enhancement with Dual Energy CT for the Assessment of Atherosclerosis Stefan C. Saur 1, Hatem Alkadhi 2, Luca Regazzoni 1, Simon Eugster 1, Gábor Székely 1, Philippe Cattin 1,3 1 Computer Vision

More information

Quantitative accuracy of CT numbers: Theoretical analyses and experimental studies

Quantitative accuracy of CT numbers: Theoretical analyses and experimental studies Quantitative accuracy of CT numbers: Theoretical analyses and experimental studies Ran Zhang, Juan P. Cruz-Bastida, Daniel Gomez-Cardona, and John W. Hayes Department of Medical Physics, University of

More information

S. Guru Prasad, Ph.D., DABR

S. Guru Prasad, Ph.D., DABR PURPOSE S. Guru Prasad, Ph.D., DABR Director of Medical Physics IAEA Consultant NorthShore University Health System and University of Chicago, Pritzker School of Medicine Current TPS utilize more information

More information

Background 8/2/2011. Development of Breast Models for Use in Simulation of Breast Tomosynthesis and CT Breast Imaging. Stephen J.

Background 8/2/2011. Development of Breast Models for Use in Simulation of Breast Tomosynthesis and CT Breast Imaging. Stephen J. Development of Breast Models for Use in Simulation of Breast Tomosynthesis and CT Breast Imaging Stephen J. Glick* J. Michael O Connor**, Clay Didier**, Mini Das*, * University of Massachusetts Medical

More information

CLASS HOURS: 4 CREDIT HOURS: 4 LABORATORY HOURS: 0

CLASS HOURS: 4 CREDIT HOURS: 4 LABORATORY HOURS: 0 Revised 10/10 COURSE SYLLABUS TM 220 COMPUTED TOMOGRAPHY PHYSICS CLASS HOURS: 4 CREDIT HOURS: 4 LABORATORY HOURS: 0 CATALOG COURSE DESCRIPTION: This course is one of a three course set in whole body Computed

More information

Recognition and Measurement of Small Defects in ICT Testing

Recognition and Measurement of Small Defects in ICT Testing 19 th World Conference on Non-Destructive Testing 2016 Recognition and Measurement of Small Defects in ICT Testing Guo ZHIMIN, Ni PEIJUN, Zhang WEIGUO, Qi ZICHENG Inner Mongolia Metallic Materials Research

More information

Introduction to Biomedical Imaging

Introduction to Biomedical Imaging Alejandro Frangi, PhD Computational Imaging Lab Department of Information & Communication Technology Pompeu Fabra University www.cilab.upf.edu X-ray Projection Imaging Computed Tomography Digital X-ray

More information

Outline. Outline 7/24/2014. Fast, near real-time, Monte Carlo dose calculations using GPU. Xun Jia Ph.D. GPU Monte Carlo. Clinical Applications

Outline. Outline 7/24/2014. Fast, near real-time, Monte Carlo dose calculations using GPU. Xun Jia Ph.D. GPU Monte Carlo. Clinical Applications Fast, near real-time, Monte Carlo dose calculations using GPU Xun Jia Ph.D. xun.jia@utsouthwestern.edu Outline GPU Monte Carlo Clinical Applications Conclusions 2 Outline GPU Monte Carlo Clinical Applications

More information

Super-resolution Reconstruction of Fetal Brain MRI

Super-resolution Reconstruction of Fetal Brain MRI Super-resolution Reconstruction of Fetal Brain MRI Ali Gholipour and Simon K. Warfield Computational Radiology Laboratory Children s Hospital Boston, Harvard Medical School Worshop on Image Analysis for

More information

Slide 1. Technical Aspects of Quality Control in Magnetic Resonance Imaging. Slide 2. Annual Compliance Testing. of MRI Systems.

Slide 1. Technical Aspects of Quality Control in Magnetic Resonance Imaging. Slide 2. Annual Compliance Testing. of MRI Systems. Slide 1 Technical Aspects of Quality Control in Magnetic Resonance Imaging Slide 2 Compliance Testing of MRI Systems, Ph.D. Department of Radiology Henry Ford Hospital, Detroit, MI Slide 3 Compliance Testing

More information

TomoTherapy Related Projects. An image guidance alternative on Tomo Low dose MVCT reconstruction Patient Quality Assurance using Sinogram

TomoTherapy Related Projects. An image guidance alternative on Tomo Low dose MVCT reconstruction Patient Quality Assurance using Sinogram TomoTherapy Related Projects An image guidance alternative on Tomo Low dose MVCT reconstruction Patient Quality Assurance using Sinogram Development of A Novel Image Guidance Alternative for Patient Localization

More information

CT Iterative Reconstruction Techniques

CT Iterative Reconstruction Techniques RECENT ADVANCES IN CT RADIATION DOSE REDUCTION TECHNIQUES CT Iterative Reconstruction Techniques Kalpana Kanal, PhD, FSCBTMR, FACR, FAAPM University of Washington Seattle, WA SCBT-MR 2017 Nashville, Tennessee

More information

GafChromic Protocol Multi-Channel Film Dosimetry + Gamma Map Analysis

GafChromic Protocol Multi-Channel Film Dosimetry + Gamma Map Analysis GafChromic Protocol Multi-Channel Film Dosimetry + Gamma Map Analysis Micke A. Ashland Inc. Advanced Materials Ashland proprietary patented technology GafChromic Film for Dose Measurement Radiotherapy

More information

An Iterative Approach to the Beam Hardening Correction in Cone Beam CT (Proceedings)

An Iterative Approach to the Beam Hardening Correction in Cone Beam CT (Proceedings) Marquette University e-publications@marquette Biomedical Engineering Faculty Research and Publications Engineering, College of 1-1-1999 An Iterative Approach to the Beam Hardening Correction in Cone Beam

More information

ImPACT. CT dosimetry and a data base for CTDI values. EFOMP Workshop at ECR Imaging Performance Assessment of CT Scanners

ImPACT. CT dosimetry and a data base for CTDI values. EFOMP Workshop at ECR Imaging Performance Assessment of CT Scanners ImPACT Imaging Performance Assessment of CT Scanners A Medical Devices Agency Evaluation Group CT dosimetry and a data base for CTDI values EFOMP Workshop at ECR 2002 S. Edyvean, ImPACT St George s Hospital,

More information

Implementation and evaluation of a fully 3D OS-MLEM reconstruction algorithm accounting for the PSF of the PET imaging system

Implementation and evaluation of a fully 3D OS-MLEM reconstruction algorithm accounting for the PSF of the PET imaging system Implementation and evaluation of a fully 3D OS-MLEM reconstruction algorithm accounting for the PSF of the PET imaging system 3 rd October 2008 11 th Topical Seminar on Innovative Particle and Radiation

More information

Lucy Phantom MR Grid Evaluation

Lucy Phantom MR Grid Evaluation Lucy Phantom MR Grid Evaluation Anil Sethi, PhD Loyola University Medical Center, Maywood, IL 60153 November 2015 I. Introduction: The MR distortion grid, used as an insert with Lucy 3D QA phantom, is

More information

Dose Calculation and Optimization Algorithms: A Clinical Perspective

Dose Calculation and Optimization Algorithms: A Clinical Perspective Dose Calculation and Optimization Algorithms: A Clinical Perspective Daryl P. Nazareth, PhD Roswell Park Cancer Institute, Buffalo, NY T. Rock Mackie, PhD University of Wisconsin-Madison David Shepard,

More information

Projection and Reconstruction-Based Noise Filtering Methods in Cone Beam CT

Projection and Reconstruction-Based Noise Filtering Methods in Cone Beam CT Projection and Reconstruction-Based Noise Filtering Methods in Cone Beam CT Benedikt Lorch 1, Martin Berger 1,2, Joachim Hornegger 1,2, Andreas Maier 1,2 1 Pattern Recognition Lab, FAU Erlangen-Nürnberg

More information

Self-Calibration of Cone-Beam CT Using 3D-2D Image Registration

Self-Calibration of Cone-Beam CT Using 3D-2D Image Registration Self-Calibration of Cone-Beam CT Using 3D-2D Image Registration Sarah Ouadah 1 J. Webster Stayman 1 Grace Jianan Gang 1 Ali Uneri 2 Tina Ehtiati 3 Jeffrey H. Siewerdsen 1,2 1. Department of Biomedical

More information

Implementation and evaluation of a protocol management system for automated review of CT protocols

Implementation and evaluation of a protocol management system for automated review of CT protocols JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, VOLUME 17, NUMBER 5, 2016 Implementation and evaluation of a protocol management system for automated review of CT protocols Joshua Grimes, Shuai Leng, a Yi

More information

DUAL energy CT (DECT) is a modality where one and. Empirical Dual Energy Calibration (EDEC) for Cone-Beam Computed Tomography

DUAL energy CT (DECT) is a modality where one and. Empirical Dual Energy Calibration (EDEC) for Cone-Beam Computed Tomography Empirical Dual Energy Calibration (EDEC) for Cone-Beam Computed Tomography Marc Kachelrieß, Member, IEEE, Timo Berkus, Philip Stenner, Willi A. Kalender Abstract Material selective imaging using dual energy

More information

Image Guidance and Beam Level Imaging in Digital Linacs

Image Guidance and Beam Level Imaging in Digital Linacs Image Guidance and Beam Level Imaging in Digital Linacs Ruijiang Li, Ph.D. Department of Radiation Oncology Stanford University School of Medicine 2014 AAPM Therapy Educational Course Disclosure Research

More information

Beam Attenuation Grid Based Scatter Correction Algorithm for. Cone Beam Volume CT

Beam Attenuation Grid Based Scatter Correction Algorithm for. Cone Beam Volume CT 11th European Conference on Non-Destructive Testing (ECNDT 2014), October 6-10, 2014, Prague, Czech Republic Beam Attenuation Grid Based Scatter Correction Algorithm for More Info at Open Access Database

More information

Enhanced material contrast by dual-energy microct imaging

Enhanced material contrast by dual-energy microct imaging Enhanced material contrast by dual-energy microct imaging Method note Page 1 of 12 2 Method note: Dual-energy microct analysis 1. Introduction 1.1. The basis for dual energy imaging Micro-computed tomography

More information

A closer look at CT scanning

A closer look at CT scanning Vet Times The website for the veterinary profession https://www.vettimes.co.uk A closer look at CT scanning Author : Charissa Lee, Natalie Webster Categories : General, Vets Date : April 3, 2017 A basic

More information

Design and performance characteristics of a Cone Beam CT system for Leksell Gamma Knife Icon

Design and performance characteristics of a Cone Beam CT system for Leksell Gamma Knife Icon Design and performance characteristics of a Cone Beam CT system for Leksell Gamma Knife Icon WHITE PAPER Introduction Introducing an image guidance system based on Cone Beam CT (CBCT) and a mask immobilization

More information

Correlation between Model and Human Observer Performance on a Lesion Shape Discrimination Task in CT

Correlation between Model and Human Observer Performance on a Lesion Shape Discrimination Task in CT Correlation between Model and Human Observer Performance on a Lesion Shape Discrimination Task in CT Yi Zhang, Shuai Leng, Lifeng Yu and Cynthia McCollough Department of Radiology Mayo Clinic, Rochester

More information

Scatter Correction for Dual source Cone beam CT Using the Pre patient Grid. Yingxuan Chen. Graduate Program in Medical Physics Duke University

Scatter Correction for Dual source Cone beam CT Using the Pre patient Grid. Yingxuan Chen. Graduate Program in Medical Physics Duke University Scatter Correction for Dual source Cone beam CT Using the Pre patient Grid by Yingxuan Chen Graduate Program in Medical Physics Duke University Date: Approved: Lei Ren, Supervisor Fang Fang Yin, Chair

More information

Financial disclosure. Onboard imaging modality for IGRT

Financial disclosure. Onboard imaging modality for IGRT Tetrahedron Beam Computed Tomography Based On Multi-Pixel X- Ray Source and Its Application in Image Guided Radiotherapy Tiezhi Zhang, Ph.D. Advanced X-ray imaging Lab Financial disclosure Patent royalty

More information

Kevin O Donnell Senior R&D Manager Toshiba Medical Research Institute Co-Chair, DICOM Standards Committee Past Chair, IHE Radiology Planning

Kevin O Donnell Senior R&D Manager Toshiba Medical Research Institute Co-Chair, DICOM Standards Committee Past Chair, IHE Radiology Planning 1 Kevin O Donnell Senior R&D Manager Toshiba Medical Research Institute Co-Chair, DICOM Standards Committee Past Chair, IHE Radiology Planning Committee Standards & Tools 2 Learning Objectives 1) DICOM

More information

Simulation of Mammograms & Tomosynthesis imaging with Cone Beam Breast CT images

Simulation of Mammograms & Tomosynthesis imaging with Cone Beam Breast CT images Simulation of Mammograms & Tomosynthesis imaging with Cone Beam Breast CT images Tao Han, Chris C. Shaw, Lingyun Chen, Chao-jen Lai, Xinming Liu, Tianpeng Wang Digital Imaging Research Laboratory (DIRL),

More information

Acknowledgments. Nesterov s Method for Accelerated Penalized-Likelihood Statistical Reconstruction for C-arm Cone-Beam CT.

Acknowledgments. Nesterov s Method for Accelerated Penalized-Likelihood Statistical Reconstruction for C-arm Cone-Beam CT. June 5, Nesterov s Method for Accelerated Penalized-Likelihood Statistical Reconstruction for C-arm Cone-Beam CT Adam S. Wang, J. Webster Stayman, Yoshito Otake, Gerhard Kleinszig, Sebastian Vogt, Jeffrey

More information

An approximate cone beam reconstruction algorithm for gantry-tilted CT

An approximate cone beam reconstruction algorithm for gantry-tilted CT An approximate cone beam reconstruction algorithm for gantry-tilted CT Ming Yan a, Cishen Zhang ab, Hongzhu Liang a a School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore;

More information

F3-A5: Model-Based Iterative Reconstruction for Advanced Baggage Screening

F3-A5: Model-Based Iterative Reconstruction for Advanced Baggage Screening F3-A5: Model-Based Iterative Reconstruction for Advanced Baggage Screening Abstract While traditional direct reconstruction algorithms such as filtered back projection (FBP) and direct Fourier method (DFM)

More information

CT: Physics Principles & Equipment Design

CT: Physics Principles & Equipment Design CT: Physics Principles & Equipment Design James Kofler, Ph.D Radiology Mayo Clinic Rochester, MN June 27, 2012 Disclosures Nothing to disclose Learning Objectives Understand fundamental concepts of - CT

More information

Iterative CT Reconstruction Using Curvelet-Based Regularization

Iterative CT Reconstruction Using Curvelet-Based Regularization Iterative CT Reconstruction Using Curvelet-Based Regularization Haibo Wu 1,2, Andreas Maier 1, Joachim Hornegger 1,2 1 Pattern Recognition Lab (LME), Department of Computer Science, 2 Graduate School in

More information

Radiology. Marta Anguiano Millán. Departamento de Física Atómica, Molecular y Nuclear Facultad de Ciencias. Universidad de Granada

Radiology. Marta Anguiano Millán. Departamento de Física Atómica, Molecular y Nuclear Facultad de Ciencias. Universidad de Granada Departamento de Física Atómica, Molecular y Nuclear Facultad de Ciencias. Universidad de Granada Overview Introduction Overview Introduction Tecniques of imaging in Overview Introduction Tecniques of imaging

More information

Multi-slice CT Image Reconstruction Jiang Hsieh, Ph.D.

Multi-slice CT Image Reconstruction Jiang Hsieh, Ph.D. Multi-slice CT Image Reconstruction Jiang Hsieh, Ph.D. Applied Science Laboratory, GE Healthcare Technologies 1 Image Generation Reconstruction of images from projections. textbook reconstruction advanced

More information

Ch. 4 Physical Principles of CT

Ch. 4 Physical Principles of CT Ch. 4 Physical Principles of CT CLRS 408: Intro to CT Department of Radiation Sciences Review: Why CT? Solution for radiography/tomography limitations Superimposition of structures Distinguishing between

More information

SPECT QA and QC. Bruce McBride St. Vincent s Hospital Sydney.

SPECT QA and QC. Bruce McBride St. Vincent s Hospital Sydney. SPECT QA and QC Bruce McBride St. Vincent s Hospital Sydney. SPECT QA and QC What is needed? Why? How often? Who says? QA and QC in Nuclear Medicine QA - collective term for all the efforts made to produce

More information

ICARO Vienna April Implementing 3D conformal radiotherapy and IMRT in clinical practice: Recommendations of IAEA- TECDOC-1588

ICARO Vienna April Implementing 3D conformal radiotherapy and IMRT in clinical practice: Recommendations of IAEA- TECDOC-1588 ICARO Vienna April 27-29 2009 Implementing 3D conformal radiotherapy and IMRT in clinical practice: Recommendations of IAEA- TECDOC-1588 M. Saiful Huq, Ph.D., Professor and Director, Dept. of Radiation

More information

Enhancement Image Quality of CT Using Single Slice Spiral Technique

Enhancement Image Quality of CT Using Single Slice Spiral Technique Enhancement Image Quality of CT Using Single Slice Spiral Technique Doaa. N. Al Sheack 1 and Dr.Mohammed H. Ali Al Hayani 2 1 2 Electronic and Communications Engineering Department College of Engineering,

More information

8/3/2017. Contour Assessment for Quality Assurance and Data Mining. Objective. Outline. Tom Purdie, PhD, MCCPM

8/3/2017. Contour Assessment for Quality Assurance and Data Mining. Objective. Outline. Tom Purdie, PhD, MCCPM Contour Assessment for Quality Assurance and Data Mining Tom Purdie, PhD, MCCPM Objective Understand the state-of-the-art in contour assessment for quality assurance including data mining-based techniques

More information

INTERNATIONAL STANDARD

INTERNATIONAL STANDARD INTERNATIONAL STANDARD IEC 60601-2-44 2001 AMENDMENT 1 2002-09 Amendment 1 Medical electrical equipment Part 2-44: Particular requirements for the safety of X-ray equipment for computed tomography Amendement

More information

Unique Features of the GE Senoclaire Tomosynthesis System. Tyler Fisher, M.S., DABR Therapy Physics, Inc.

Unique Features of the GE Senoclaire Tomosynthesis System. Tyler Fisher, M.S., DABR Therapy Physics, Inc. Unique Features of the GE Senoclaire Tomosynthesis System Tyler Fisher, M.S., DABR Therapy Physics, Inc. Conflict of Interest Disclosure I have no conflicts to disclose. Learning Objectives Overview of

More information

International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN:

International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: COMPARISON OF RADIATION DOSE AND IMAGE QUALITY BETWEEN THE SINGLE DETECTOR CT AND MULTI DETECTOR CT ON HEAD EXAMINATION: STUDY PHANTOM Samburi Master of Physics, University of Diponegoro, Indonesia Agency

More information

An Efficient Technique For Multi-Phase Model Based Iterative Reconstruction

An Efficient Technique For Multi-Phase Model Based Iterative Reconstruction 1 An Efficient Technique For Multi-Phase Model Based Iterative Reconstruction Shiyu Xu, Debashish Pal and Jean-Baptiste Thibault Abstract Multi-phase scan is a fundamental CT acquisition technology used

More information

Motion Compensation from Short-Scan Data in Cardiac CT

Motion Compensation from Short-Scan Data in Cardiac CT Motion Compensation from Short-Scan Data in Cardiac CT Juliane Hahn 1,2, Thomas Allmendinger 1, Herbert Bruder 1, and Marc Kachelrieß 2 1 Siemens Healthcare GmbH, Forchheim, Germany 2 German Cancer Research

More information

Spectral analysis of non-stationary CT noise

Spectral analysis of non-stationary CT noise Spectral analysis of non-stationary CT noise Kenneth M. Hanson Los Alamos Scientific Laboratory Int. Symposium and Course on Computed Tomography, Las Vegas, April 7-11, 1980 This presentation available

More information

F3-A5: Toward Model-Based Reconstruction in Scanned Baggage Security Applications

F3-A5: Toward Model-Based Reconstruction in Scanned Baggage Security Applications F3-A5: Toward Model-Based Reconstruction in Scanned Baggage Security Applications Abstract While traditional direct reconstruction algorithms such as filtered back projection depend on the analytic inversion

More information

Validation of a digital mammography image simulation chain with automated scoring of CDMAM images

Validation of a digital mammography image simulation chain with automated scoring of CDMAM images Validation of a digital mammography image simulation chain with automated scoring of CDMAM images Mary Yip 1, Abdulaziz Alsager 2, Emma Lewis 1, Kevin Wells 1, and Kenneth C. Young 3 1 Centre for Vision,

More information