Acknowledgments. High Performance Cone-Beam CT of Acute Traumatic Brain Injury
|
|
- Annice Park
- 5 years ago
- Views:
Transcription
1 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 4, J. H. Siewerdsen 1,3 1 Dept.of Biomedical Engineering, Johns Hopkins University 2 Carestream Health Inc. 3 Dept. of Radiology, Johns Hopkins University 4 Dept. of Neurology, Johns Hopkins University Acknowledgments The I-STAR Lab Imaging for Surgery, Therapy, and Radiology Carestream Health Xiaohui (Ed) Wang, Mark Shafer Bill Snyder, James Burns Dave Foos Funding Support Carestream Health NIH-CA-2R
2 A. Sisniega et al. (presented at RSNA 214) CBCT of Acute Brain Trauma Traumatic Brain Injury (TBI) 1.7M Americans suffer TBI each year (>3% of injury-related death) Prompt assessment of acute TBI is vital to guiding clinical course Detection of Acute TBI CT is front-line modality for evaluation of acute TBI High sensitivity to detection of fresh blood in the brain Hemorrhages range in size ~1 mm to > 1 cm CT poorly suited to deployment at the point-of-care Application Settings (Point-of-Care) Intensive Care Unit (ICU), Operating room (OR) Emergency Department (ED), Urgent Care Center Ambulance, locker room, sports clinic Military base hospitals, war theater Acute TBI (non-contrast-enhanced CT) CBCT of Acute Brain Trauma Aim: To develop a high-quality CBCT system for detection of TBI at the point of care Stringent image quality for TBI detection Contrast: ~5 (fresh blood in brain) Spatial Resolution: down to 1 mm Uniformity: High (~few ) Major challenge for flat-panel-detector CBCT 25 Narrow Fan-Beam (low SPR) Suboptimal Geometry (small air gap) Optimal Geometry (task-based modeling)
3 Density (g/cm 3 ) A. Sisniega et al. (presented at RSNA 214) Framework for CBCT Artifact Correction Detector Lag Veiling Glare Detector Lag: Frame-to-frame deconvolution * -1 Veiling Glare: Long-tail PSF deconvolution Beam Hardening Scatter * -1 In Press A. Sisniega et al., High-fidelity artifact correction for cone-beam CT imaging of the brain Physics in Medicine and Biology (214). MC Scatter + Beam Hardening Joseph Spital Monte Carlo + - Scatter+BH Correction in MC-GPU Initialization Beam Hardening + Segmentation Sparse Monte Carlo Pre-corrected Volume Constant Scatter Beam hardening Joseph & Spital Continuous tissue model 2 1 Air Soft Bone Threshold Value Parallel Photon Tracking GPU photon tracking Very Low N Photons Variance Reduction in GPU Forced Detection Photon splitting Angular Undersampling V Θ U MC Scatter (S MC ) De-Noised Scatter De-Noise + Sparse Views Asymmetric 3D Gaussian Kernel Corrected Volume De-noised Scatter (S MC-KS ) K KS u, v, θ
4 Difference Corrected Un-corrected A. Sisniega et al. (presented at RSNA 214) Data Acquisition kv +.2 mm Cu + 2 mm Al 72 projections 28 mas total (.39 mas/proj) 24 mgy (dose to center CTDI) No scatter grid Head Phantom Gelatin (brain) background 5 contrast simulated blood Natural skull Experimental Setup Flat-Panel Detector SDD=8 cm Object Stage SAD=58 cm X-ray Source 12 mm 1 mm 8 mm 5 mm 3 mm 1.5 mm Ventricles Superior + Peridural Brain Central Area Skull Base CBCT Imaging of TBI 3 2 Run-Time: 3.5 min/iteration x 3 iterations (Geforce GTX 78 Ti)
5 Corrected Un-corrected Corrected Un-corrected A. Sisniega et al. (presented at RSNA 214) CBCT Imaging of TBI Non-uniformity Contrast Noise Un-corrected ± Corrected ± Run-Time: 3.5 min/iteration x 3 iterations (Geforce GTX 78 Ti) CBCT Imaging of TBI Peridural Hemorrhage -6 Parenchymal (Skull Base) Hemorrhage
6 A. Sisniega et al. (presented at RSNA 214) Model-Based Reconstruction Penalized weighted least squares Weights modified to include effect of artifact correction on noise FDK C = 49.3 s = 9. CNR = PWLS C = 51.4 s = 4.8 CNR = H. Dang, et al., Cone-beam CT of traumatic brain injury using statistical reconstruction with a post-artifact-correction noise model Proc SPIE Med Imaging (214), accepted. Model-Based Reconstruction Penalized weighted least squares Weights modified to include effect of artifact correction on noise FDK C = 49.3 s = 9. CNR = PWLS C = 51.4 s = 4.8 CNR = H. Dang, et al., Cone-beam CT of traumatic brain injury using statistical reconstruction with a post-artifact-correction noise model Proc SPIE Med Imaging (214), accepted.
7 A. Sisniega et al. (presented at RSNA 214) Conclusions Artifact correction framework for brain CBCT Corrections: lag, veiling glare, BH, and scatter Iterative loop for BH and MC scatter correction MC scatter correction Combination of GPU, VR, and de-noising Run-time ~1 min (3 iteration) CBCT image quality improvements Cupping reduced by ~35 Streaks and blooming reduced by ~5 Visibility of small bleeds (3 mm, 5 ) 3x increase in CNR 2x increase in noise (resolved by PWLS with modified weights) Ongoing and future work CBCT scanner prototype, integration, and clinical studies
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 informationDesign 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 informationSelf-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 informationCT Reconstruction Using Spectral and Morphological Prior Knowledge: Application to Imaging the Prosthetic Knee
CT Reconstruction Using Spectral and Morphological Prior Knowledge: Application to Imaging the Prosthetic Knee Wojciech Zbijewski, J. Webster Stayman, Abdullah Muhit, John Yorkston, John A. Carrino and
More informationEvaluation of Spectrum Mismatching using Spectrum Binning Approach for Statistical Polychromatic Reconstruction in CT
Evaluation of Spectrum Mismatching using Spectrum Binning Approach for Statistical Polychromatic Reconstruction in CT Qiao Yang 1,4, Meng Wu 2, Andreas Maier 1,3,4, Joachim Hornegger 1,3,4, Rebecca Fahrig
More informationCT 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 information8/2/2016. Measures the degradation/distortion of the acquired image (relative to an ideal image) using a quantitative figure-of-merit
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
More informationScatter 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 informationFinancial 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 informationOptimisation 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 informationBeam 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 informationComparison of Scatter Correction Methods for CBCT. Author(s): Suri, Roland E.; Virshup, Gary; Kaissl, Wolfgang; Zurkirchen, Luis
Research Collection Working Paper Comparison of Scatter Correction Methods for CBCT Author(s): Suri, Roland E.; Virshup, Gary; Kaissl, Wolfgang; Zurkirchen, Luis Publication Date: 2010 Permanent Link:
More information8/1/2017. 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 informationCT 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 informationPenalized-Likelihood Reconstruction for Sparse Data Acquisitions with Unregistered Prior Images and Compressed Sensing Penalties
Penalized-Likelihood Reconstruction for Sparse Data Acquisitions with Unregistered Prior Images and Compressed Sensing Penalties J. W. Stayman* a, W. Zbijewski a, Y. Otake b, A. Uneri b, S. Schafer a,
More informationCarestream s 2 nd Generation Metal Artifact Reduction Software (CMAR 2)
Carestream s 2 nd Generation Metal Artifact Reduction Software (CMAR 2) Author: Levon Vogelsang Introduction Cone beam computed tomography (CBCT), or cone beam CT technology, offers considerable promise
More informationDigital Scatter Removal in Mammography to enable Patient Dose Reduction
Digital Scatter Removal in Mammography to enable Patient Dose Reduction Mary Cocker Radiation Physics and Protection Oxford University Hospitals NHS Trust Chris Tromans, Mike Brady University of Oxford
More informationDeep Scatter Estimation (DSE): Feasibility of using a Deep Convolutional Neural Network for Real-Time X-Ray Scatter Prediction in Cone-Beam CT
Deep Scatter Estimation (DSE): Feasibility of using a Deep Convolutional Neural Network for Real-Time X-Ray Scatter Prediction in Cone-Beam CT Joscha Maier 1,2, Yannick Berker 1, Stefan Sawall 1,2 and
More informationReduction of Metal Artifacts in Computed Tomographies for the Planning and Simulation of Radiation Therapy
Reduction of Metal Artifacts in Computed Tomographies for the Planning and Simulation of Radiation Therapy T. Rohlfing a, D. Zerfowski b, J. Beier a, P. Wust a, N. Hosten a, R. Felix a a Department of
More informationHot Topics in Imaging Physics A Key Interdisciplinary Science for 21 st Century Medicine
Hot Topics in Imaging Physics A Key Interdisciplinary Science for 21 st Century Medicine Jeff Siewerdsen, PhD FAAPM Department of Biomedical Engineering Department of Computer Science Russell H. Morgan
More informationAutomated 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 informationRadiology. 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 informationAcknowledgements. Atlas-based automatic measurements of the morphology of the tibiofemoral joint
Atlas-based automatic measurements of the morphology of the tibiofemoral joint M Brehler 1, G Thawait 2, W Shyr 1, J Ramsay 3, JH Siewerdsen 1,2, W Zbijewski 1 1 Dept. of Biomedical Engineering, Johns
More informationDUE 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 informationNOVEL METHODS FOR SCATTER CORRECTION AND DUAL ENERGY IMAGING IN CONE-BEAM CT
NOVEL METHODS FOR SCATTER CORRECTION AND DUAL ENERGY IMAGING IN CONE-BEAM CT A Dissertation Presented to The Academic Faculty by Xue Dong In Partial Fulfillment of the Requirements for the Degree Doctor
More informationGPU-based Fast Cone Beam CT Reconstruction from Undersampled and Noisy Projection Data via Total Variation
GPU-based Fast Cone Beam CT Reconstruction from Undersampled and Noisy Projection Data via Total Variation 5 10 15 20 25 30 35 Xun Jia Department of Radiation Oncology, University of California San Diego,
More information8/7/2017. 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 informationSpiral 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 informationSimulation 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 informationRefinement of Imaging Processing of Scatter Correction and Beam Hardening Tools for Industrial Radiography and Cone Beam CT
Digital Industrial Radiology and Computed Tomography (DIR 2015) 22-25 June 2015, Belgium, Ghent - www.ndt.net/app.dir2015 More Info at Open Access Database www.ndt.net/?id=18073 Refinement of Imaging Processing
More informationOptimization 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 information7/31/ 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 informationMetal 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 informationSpatial Resolution Properties in Penalized-Likelihood Reconstruction of Blurred Tomographic Data
Spatial Resolution Properties in Penalized-Likelihood Reconstruction of Blurred Tomographic Data Wenying Wang, Grace J. Gang and J. Webster Stayman Department of Biomedical Engineering, Johns Hopkins University,
More informationCone-beam computed tomography with a flat-panel imager: Magnitude and effects of x-ray scatter
Cone-beam computed tomography with a flat-panel imager: Magnitude and effects of x-ray scatter Jeffrey H. Siewerdsen a) and David A. Jaffray Department of Radiation Oncology, William Beaumont Hospital,
More informationIncorporation of Prior Knowledge for Region of Change Imaging from Sparse Scan Data in Image-Guided Surgery
Incorporation of Prior Knowledge for Region of Change Imaging from Sparse Scan Data in Image-Guided Surgery J. Lee a, J. W. Stayman b, Y. Otake c, S. Schafer b, W. Zbijewski b, A. J. Khanna b,d, J. L.
More informationMEDICAL 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 informationGPU implementation for rapid iterative image reconstruction algorithm
GPU implementation for rapid iterative image reconstruction algorithm and its applications in nuclear medicine Jakub Pietrzak Krzysztof Kacperski Department of Medical Physics, Maria Skłodowska-Curie Memorial
More informationComputer-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 informationAn energy minimization method for the correction of cupping artifacts in cone-beam CT
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, VOLUME 17, NUMBER 4, 2016 An energy minimization method for the correction of cupping artifacts in cone-beam CT Shipeng Xie, a Wenqin Zhuang, a and Haibo Li
More informationImage Quality Assessment and Quality Assurance of Advanced Imaging Systems for IGRT. AAPM Penn-Ohio Chapter Sep 25, 2015 Soyoung Lee, PhD
Image Quality Assessment and Quality Assurance of Advanced Imaging Systems for IGRT AAPM Penn-Ohio Chapter Sep 25, 2015 Soyoung Lee, PhD 1 Outline q Introduction q Imaging performances in 4D-CBCT Image
More informationSimulation of Beam Hardening in Industrial CT with x-ray and Monoenergetic Source by Monte Carlo Code
2012, TextRoad Publication ISSN 2090-4304 Journal of Basic and Applied Scientific Research www.textroad.com Simulation of Beam Hardening in Industrial CT with x-ray and Monoenergetic Source by Monte Carlo
More informationEstimating 3D Respiratory Motion from Orbiting Views
Estimating 3D Respiratory Motion from Orbiting Views Rongping Zeng, Jeffrey A. Fessler, James M. Balter The University of Michigan Oct. 2005 Funding provided by NIH Grant P01 CA59827 Motivation Free-breathing
More informationDUAL 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 informationEfficient Monte Carlo based scatter artefact reduction in cone-beam micro-ct
Chapter 6 Efficient Monte Carlo based scatter artefact reduction in cone-beam micro-ct Abstract Cupping and streak artefacts caused by the detection of scattered photons may severely degrade the quantitative
More informationFAST KVP-SWITCHING DUAL ENERGY CT FOR PET ATTENUATION CORRECTION
2009 IEEE Nuclear Science Symposium Conference Record M03-7 FAST KVP-SWITCHING DUAL ENERGY CT FOR PET ATTENUATION CORRECTION Wonseok Huh, Jeffrey A. Fessler, Adam M. Alessio, and Paul E. Kinahan Department
More informationResearch Article X-Ray Scatter Correction on Soft Tissue Images for Portable Cone Beam CT
BioMed Research International Volume 26, Article ID 3262795, 2 pages http://dx.doi.org/.55/26/3262795 Research Article X-Ray Scatter Correction on Soft Tissue Images for Portable Cone Beam CT Sorapong
More informationML reconstruction for CT
ML reconstruction for CT derivation of MLTR rigid motion correction resolution modeling polychromatic ML model dual energy ML model Bruno De Man, Katrien Van Slambrouck, Maarten Depypere, Frederik Maes,
More informationThe 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 informationIntroduction 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 informationLow-Dose Dual-Energy CT for PET Attenuation Correction with Statistical Sinogram Restoration
Low-Dose Dual-Energy CT for PET Attenuation Correction with Statistical Sinogram Restoration Joonki Noh, Jeffrey A. Fessler EECS Department, The University of Michigan Paul E. Kinahan Radiology Department,
More informationScatter Correction Methods in Dimensional CT
Scatter Correction Methods in Dimensional CT Matthias Baer 1,2, Michael Hammer 3, Michael Knaup 1, Ingomar Schmidt 3, Ralf Christoph 3, Marc Kachelrieß 2 1 Institute of Medical Physics, Friedrich-Alexander-University
More informationDUAL-ENERGY CT IN PROTON THERAPY
10/31/17 DUAL-ENERGY CT IN PROTON THERAPY Isabel Almeida, MAASTRO Clinic 7th NCS Lustrum Symposium 1 10/31/17 http://zonptc.bouwwebcam.nl https://www.youtube.com/watch?v=3vvvf5bqn7g Range uncertainties
More informationHidenobu Tachibana The Cancer Institute Hospital of JFCR, Radiology Dept. The Cancer Institute of JFCR, Physics Dept.
2-D D Dose-CT Mapping in Geant4 Hidenobu Tachibana The Cancer Institute Hospital of JFCR, Radiology Dept. The Cancer Institute of JFCR, Physics Dept. Table of Contents Background & Purpose Materials Methods
More informationComputed 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 informationScatter reduction for grid-less mammography using the convolutionbased image post-processing technique
Scatter reduction for grid-less mammography using the convolutionbased image post-processing technique Elena Marimón *a,b, Hammadi Nait-Charif a, Asmar Khan b, Philip A. Marsden c, Oliver Diaz d a CDE
More informationJoint ICTP-TWAS Workshop on Portable X-ray Analytical Instruments for Cultural Heritage. 29 April - 3 May, 2013
2455-5 Joint ICTP-TWAS Workshop on Portable X-ray Analytical Instruments for Cultural Heritage 29 April - 3 May, 2013 Lecture NoteBasic principles of X-ray Computed Tomography Diego Dreossi Elettra, Trieste
More informationAssessment 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 informationEmpirical 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 informationMonte Carlo methods in proton beam radiation therapy. Harald Paganetti
Monte Carlo methods in proton beam radiation therapy Harald Paganetti Introduction: Proton Physics Electromagnetic energy loss of protons Distal distribution Dose [%] 120 100 80 60 40 p e p Ionization
More informationDeep Scatter Estimation (DSE): Accurate Real-Time Scatter Estimation for X-Ray CT using a Deep Convolutional Neural Network
Deep Scatter Estimation (DSE): Accurate Real-Time Scatter Estimation for X-Ray CT using a Deep Convolutional Neural Network Joscha Maier 1,2, Stefan Sawall 1,2, and Marc Kachelrieß 1,2 1 German Cancer
More informationBME I5000: Biomedical Imaging
1 Lucas Parra, CCNY BME I5000: Biomedical Imaging Lecture 4 Computed Tomography Lucas C. Parra, parra@ccny.cuny.edu some slides inspired by lecture notes of Andreas H. Hilscher at Columbia University.
More informationGPU Based Convolution/Superposition Dose Calculation
GPU Based Convolution/Superposition Dose Calculation Todd McNutt 1, Robert Jacques 1,2, Stefan Pencea 2, Sharon Dye 2, Michel Moreau 2 1) Johns Hopkins University 2) Elekta Research Funded by and Licensed
More informationFlat panel CT: A new spin on CT. A. Kyle Jones, Ph.D. Assistant Professor Department of Imaging Physics
Flat panel CT: A new spin on CT A. Kyle Jones, Ph.D. Assistant Professor Department of Imaging Physics Learning objectives 1. Understand the key differences between conventional CT and FPCT. 2. Understand
More informationRADIOLOGY AND DIAGNOSTIC IMAGING
Day 2 part 2 RADIOLOGY AND DIAGNOSTIC IMAGING Dr hab. Zbigniew Serafin, MD, PhD serafin@cm.umk.pl 2 3 4 5 CT technique CT technique 6 CT system Kanal K: RSNA/AAPM web module: CT Systems & CT Image Quality
More informationDigital Image Processing
Digital Image Processing SPECIAL TOPICS CT IMAGES Hamid R. Rabiee Fall 2015 What is an image? 2 Are images only about visual concepts? We ve already seen that there are other kinds of image. In this lecture
More informationOutline. 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 informationAN X-ray system with a large area detector, such as is used
IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 25, NO. 12, DECEMBER 2006 1573 Scatter Correction Method for X-Ray CT Using Primary Modulation: Theory and Preliminary Results Lei Zhu*, Member, IEEE, N. Robert
More informationCIVA CT, an advanced simulation platform for NDT
More Info at Open Access Database www.ndt.net/?id=18774 CIVA CT, an advanced simulation platform for NDT Marius Costin 1, David Tisseur 1, Caroline Vienne 1, Ronan Guillamet 1, Hussein Banjak 1, Navnina
More informationImPACT. 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 informationCh. 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 information8/3/2016. Outline. The EPID Strikes Back: Future EPID Technology and Applications. Active Matrix Flat-Panel Imagers (AMFPIs)
8//6 The EPID Strikes Back: Future EPID Technology and Applications Larry E. Antonuk Department of Radiation Oncology University of Michigan, Ann Arbor Acknowledgements: Youcef El-Mohri, Qihua Zhao (U.
More informationFrom DQE to TRE: Image Science, Image Guidance, and Cone-Beam CT
W task = F task C task Magnification Focal Spot Size Scatter-to-Primary Ratio kvp, Dose Scintillator, Detector Pixel Aperture, 2D Sampling Reconstruction Filter Backprojection Voxel Size 3D Sampling PW,
More information8/3/2016. Image Guidance Technologies. Introduction. Outline
8/3/26 Session: Image Guidance Technologies and Management Strategies Image Guidance Technologies Jenghwa Chang, Ph.D.,2 Department of Radiation Medicine, Northwell Health 2 Hofstra Northwell School of
More informationAcknowledgments 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 informationRespiratory Motion Compensation for Simultaneous PET/MR Based on Strongly Undersampled Radial MR Data
Respiratory Motion Compensation for Simultaneous PET/MR Based on Strongly Undersampled Radial MR Data Christopher M Rank 1, Thorsten Heußer 1, Andreas Wetscherek 1, and Marc Kachelrieß 1 1 German Cancer
More informationSpectral 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 informationA new calibration-free beam hardening reduction method for industrial CT
A new calibration-free beam hardening reduction method for industrial CT ECC 2 for industrial CT Tobias Würfl 1, Nicole Maaß 2, Frank Dennerlein 2, Andreas K. Maier 1 1 Pattern Recognition Lab, FAU Erlangen-Nürnberg;
More informationCBCT 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 informationUnion of Learned Sparsifying Transforms Based Low-Dose 3D CT Image Reconstruction
Union of Learned Sparsifying Transforms Based Low-Dose 3D CT Image Reconstruction Xuehang Zheng 1, Saiprasad Ravishankar 2, Yong Long 1, Jeff Fessler 2 1 University of Michigan - Shanghai Jiao Tong University
More informationCT 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 informationFrequency split metal artifact reduction (FSMAR) in computed tomography
The Johns Hopkins University Advanced Computer Integrated Surgery Group 4 Metal Artifact Removal in C-arm Cone-Beam CT Paper Seminar Critical Review of Frequency split metal artifact reduction (FSMAR)
More informationScatter in an uncollimated x-ray CT machine based on a Geant4 Monte Carlo simulation. Wadeson, Nicola and Morton, Edward and Lionheart, William
Scatter in an uncollimated x-ray CT machine based on a Geant4 Monte Carlo simulation Wadeson, Nicola and Morton, Edward and Lionheart, William 2010 MIMS EPrint: 2010.66 Manchester Institute for Mathematical
More informationAIDR 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 informationShadow 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 informationAccelerated quantitative multi-material beam hardening correction(bhc) in cone-beam CT
Accelerated quantitative multi-material beam hardening correction(bhc) in cone-beam CT Award: Poster No.: C-2161 Certificate of Merit Congress: ECR 2012 Type: Authors: Scientific Exhibit Q. Yang, M. Elter,
More informationDeshpande, RR; Fernandez, J; Lee, JK; Chan, T; Liu, BJ; Huang, HK
Title Author(s) Citation Multi-site evaluation of a computer aided detection (CAD) algorithm for small acute intra-cranial hemorrhage and development of a stand-alone CAD system ready for deployment in
More informationBackground 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 informationProjection 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 informationA fast scatter field estimator for Digital Breast Tomosynthesis
A fast scatter field estimator for Digital Breast Tomosynthesis Oliver Díaz a, David R. Dance b,c, Kenneth C. Young b,c, Premkumar Elangovan a, Predrag R. Bakic d and Kevin Wells a a Centre for Vision,
More informationArtefakt-resistente Bewegungsschätzung für die bewegungskompensierte CT
Artefakt-resistente Bewegungsschätzung für die bewegungskompensierte CT Marcus Brehm 1,2, Thorsten Heußer 1, Pascal Paysan 3, Markus Oehlhafen 3, and Marc Kachelrieß 1,2 1 German Cancer Research Center
More informationgpmc: GPU-Based Monte Carlo Dose Calculation for Proton Radiotherapy Xun Jia 8/7/2013
gpmc: GPU-Based Monte Carlo Dose Calculation for Proton Radiotherapy Xun Jia xunjia@ucsd.edu 8/7/2013 gpmc project Proton therapy dose calculation Pencil beam method Monte Carlo method gpmc project Started
More informationAn 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 informationA study on image quality provided by a kilovoltage cone-beam computed tomography
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, VOLUME 14, NUMBER 1, 2013 A study on image quality provided by a kilovoltage cone-beam computed tomography Julia Garayoa a and Pablo Castro Servicio de Radiofísica,
More informationIterative 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 information3/27/2012 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 informationBackground. 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 informationCLASS 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 informationNew Technology in Radiation Oncology. James E. Gaiser, Ph.D. DABR Physics and Computer Planning Charlotte, NC
New Technology in Radiation Oncology James E. Gaiser, Ph.D. DABR Physics and Computer Planning Charlotte, NC Technology s s everywhere From the imaging chain To the planning system To the linac To QA..it..it
More informationTomographic Reconstruction
Tomographic Reconstruction 3D Image Processing Torsten Möller Reading Gonzales + Woods, Chapter 5.11 2 Overview Physics History Reconstruction basic idea Radon transform Fourier-Slice theorem (Parallel-beam)
More information