SYSTEM LINEARITY LAB MANUAL: 2 Modifications for P551 Fall 2013 Medical Physics Laboratory

Similar documents
LAB DEMONSTRATION COMPUTED TOMOGRAPHY USING DESKCAT Lab Manual: 0

INTRODUCTION TO MEDICAL IMAGING- 3D LOCALIZATION LAB MANUAL 1. Modifications for P551 Fall 2013 Medical Physics Laboratory

Modifications for P551 Fall 2014

Applying Hounsfield unit density calibration in SkyScan CT-analyser

TEP Hounsfield units. Related topics Attenuation coefficient, Hounsfield units

Quality control phantoms and protocol for a tomography system

Basics of treatment planning II

DUE to beam polychromacity in CT and the energy dependence

Enhanced material contrast by dual-energy microct imaging

CT vs. VolumeScope: image quality and dose comparison

Polarization of light

Comparison of Scatter Correction Methods for CBCT. Author(s): Suri, Roland E.; Virshup, Gary; Kaissl, Wolfgang; Zurkirchen, Luis

Spectral analysis of non-stationary CT noise

Polarization of Light

Loma Linda University Medical Center Dept. of Radiation Medicine

A PRACTICAL ALGORITHM FOR RECONSTRUCTION FROM X-RAY

Image Acquisition Systems

S. Guru Prasad, Ph.D., DABR

Ch. 4 Physical Principles of CT

Digital Image Processing

Evaluation of Spectrum Mismatching using Spectrum Binning Approach for Statistical Polychromatic Reconstruction in CT

Micro-CT Methodology Hasan Alsaid, PhD

Coordinate Measuring Machines with Computed Tomography

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

C a t p h a n / T h e P h a n t o m L a b o r a t o r y

Washability Monitor for Coal Utilizing Optical and X-Ray Analysis Techniques

Proton dose calculation algorithms and configuration data

Novel evaluation method of low contrast resolution performance of dimensional X-ray CT

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

OPSE FINAL EXAM Fall CLOSED BOOK. Two pages (front/back of both pages) of equations are allowed.

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

Introduction to Biomedical Imaging

BME I5000: Biomedical Imaging

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

: Imaging Systems Laboratory II. Laboratory 2: Snell s Law, Dispersion and the Prism March 19 & 21, n 1 n 2

DESIGNER S NOTEBOOK Proximity Detection and Link Budget By Tom Dunn July 2011

Artifact Mitigation in High Energy CT via Monte Carlo Simulation

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

Fresnel Reflection. angle of transmission. Snell s law relates these according to the

Arion: a realistic projection simulator for optimizing laboratory and industrial micro-ct

Atomic Force Microscope

Information page for written examinations at Linköping University TER2

Determining The Surface Tension Of Water Via Light Scattering

Philpot & Philipson: Remote Sensing Fundamentals Interactions 3.1 W.D. Philpot, Cornell University, Fall 12

Radon Transform and Filtered Backprojection

CALIBRATIONS FOR ANALYZING INDUSTRIAL SAMPLES ON MEDICAL CT SCANNERS

Chemical Polarimeter (Order Code CHEM-POL)

Introduction. Lab Kit Contents

Limited View Angle Iterative CT Reconstruction

PHYSICS 1040L LAB LAB 7: DIFFRACTION & INTERFERENCE

Physics 101, Lab 1: LINEAR KINEMATICS PREDICTION SHEET

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

Experiment 6. Snell s Law. Use Snell s Law to determine the index of refraction of Lucite.

1.1. FireCR Calibration

Corso di laurea in Fisica A.A Fisica Medica 4 TC

MEDICAL EQUIPMENT: COMPUTED TOMOGRAPHY. Prof. Yasser Mostafa Kadah

Error Analysis, Statistics and Graphing

Beam Profilier - Beamage 3.0

Non-Stationary CT Image Noise Spectrum Analysis

Effects of the difference in tube voltage of the CT scanner on. dose calculation

FINDING THE INDEX OF REFRACTION - WebAssign

Reflection, Refraction and Polarization of Light

Joint ICTP-TWAS Workshop on Portable X-ray Analytical Instruments for Cultural Heritage. 29 April - 3 May, 2013

Segmentation tools and workflows in PerGeos

Appendix 1: DataStudio with ScienceWorkshop Sensors Tech Tips

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

Refraction and Polarization of Light

Reduction of Metal Artifacts in Computed Tomographies for the Planning and Simulation of Radiation Therapy

Two-Dimensional Projectile Motion

Japan Foundry Society, Inc. Application of Recent X-ray CT Technology to Investment Casting field. Kouichi Inagaki ICC / IHI Corporation

XRADIA microxct Manual

Comparison of Probing Error in Dimensional Measurement by Means of 3D Computed Tomography with Circular and Helical Sampling

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

Rules for Deviation of Light Rays During Refraction

Optimization of scanner parameters for dual energy micro-ct

Calibration of Recorded Digital Counts to Radiance

Recall: Basic Ray Tracer

Physics 309 Lab 3. where the small angle approximation has been used. This pattern has maxima at. Y Max. n L /d (2)

Lab 9. Reflection and Refraction

Three-Dimensional Laser Scanner. Field Evaluation Specifications

System Optimization and Patient Translational Motion Correction for Reduction of Artifacts in a Fan-Beam CT Scanner

NON-COLLIMATED SCATTERED RADIATION TOMOGRAPHY

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

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

Physics 4C Chabot College Scott Hildreth

Wieblinger Weg 92a, Heidelberg, Germany, Phone: , Fax: ;

Experiment 4: ACCURACY & PRECISION IN MEASUREMENT

Interference and Diffraction of Light

Part 1: Plane Mirrors!

Contrast Enhancement with Dual Energy CT for the Assessment of Atherosclerosis

Validation of GEANT4 for Accurate Modeling of 111 In SPECT Acquisition

Refraction of Light Finding the Index of Refraction and the Critical Angle

10.5 Polarization of Light

Scaling Calibration in the ATRACT Algorithm

Constructing System Matrices for SPECT Simulations and Reconstructions

Introduction. Experiment A: Snell s Law. Physics 1CL REFLECTION AND REFRACTION OF LIGHT Summer Session II 2010

Moscow-Bavarian Joint Advanced Student School 2006 / Medical Imaging Principles of Computerized Tomographic Imaging and Cone-Beam Reconstruction

Medical Image Reconstruction Term II 2012 Topic 6: Tomography

Porosity and Pore-Size Distribution of Geomaterials from X-Ray CT Scans

Waves Questions (1)

Transcription:

SYSTEM LINEARITY LAB MANUAL: 2 Modifications for P551 Fall 2013 Medical Physics Laboratory

Introduction In this lab exercise, you will investigate the linearity of the DeskCAT scanner by making measurements of attenuation. As before, include measurements, plots, and results in your report, as well as answering all the questions. Educational Objectives To learn about the relationship between optical density, transmission and attenuation coefficients in CT imaging To understand linearity, as it applies to CT imaging Why Learn This Characterizing the linearity of an imaging system identifies the range of attenuation values that can be accurately reproduced. Measuring linearity will help the student understand an important limitation in the use of an imaging system. Overview In optical CT, as in x- ray CT, a beam of photons traverses the object being scanned and measurements of the transmission are made at multiple angles. These projections of photon transmission can be used to reconstruct the internal geometry of the scanned object. Transmission is defined as:!!! =!!!" [1] Where!/!! is the ratio of transmitted photons to incident photons through an object of length! and attenuation coefficient µμ. The attenuation coefficient has units of inverse length. Figure 1 below gives a graphical representation of the variables in equation [1] for the attenuation of a photon beam by a homogeneous body with attenuation coefficient µ and length x. Type equation here. Figure 1: Beam attenuated by homogeneous body with attenuation coefficient µ and length x The CT reconstruction algorithm calculates the attenuation coefficient (µ) as a function of 3D position from measured transmission values. 2013 Modus Medical Devices Inc. All rights reserved. 2

In x- ray CT imaging the attenuation coefficient is commonly called the linear attenuation coefficient. This use of the word linear could be confusing as we investigate the linearity of the response of the imaging system. For simplicity, this lab will refer to µ as the attenuation coefficient. Linearity and Scanners An important characteristic of a measurement device is that its response to a change in stimulus is linearly proportional to that change. A system with this property is said to have linearity and thus can be relied on to produce accurate results. The linearity of a CT scanner can be tested by scanning phantoms with a variety of known µ values and plotting the results of the measured µ vs. known µ on a graph. In this lab, the DeskCAT scanner will be tested for linearity using a series of water phantoms. Figure 2 below is a graphical representation of linearity, with examples of a linear and a non- linear system. Method In this lab you will: Figure 2: Stimulus/response curve of a linear and a non- linear system 1. Measure the attenuation coefficient of a series of dye + water mixtures. 2. Compare measured attenuation coefficients using 2D and 3D imaging techniques to determine whether the scanner response is linear. Lab Materials: Premixed solution of water & dye (food coloring), provided by lab instructor Water- filled jar 2L Water (preferably distilled) DeskCAT Multi- slice Optical CT Scanner 2013 Modus Medical Devices Inc. All rights reserved. 3

Project Set up and Scanner Calibration 1. If not already done so, setup and connect the DeskCAT scanner. 2. If not already done so, fill the aquarium with water to the top of the aquarium window. Capacity is approximately 2L. (Fill through the access ports or the large opening with the Rotary Stage removed). 3. Start the DeskCAT software and create a new project. 4. Inspect the Camera Video window (upper left), to see if there are any air bubbles in the field of view. *Air bubbles may interfere with the accuracy of your results. They can be removed by directing a stream of water from a syringe through either of the access ports. Alternatively, a short length of wire can be used as a poker to remove the bubbles. 5. Select New project... and name it appropriately. 6. Adjust the camera setting to achieve maximum brightness without saturating the image. Select Scanner à Camera Settings. Adjust Frame Rate/Shutter Speed until a few red pixels appear in the Camera Video window 7. Under Reconstruction à Reconstruction Options, select Hamming Filter. 8. Under Calibration à Geometry Calibration select Auto- Cal and accept the values. *Calibration must be done with NO phantom loaded. Acquire Scans and Reconstruct Image 9. Take one of the empty phantom jars and fill it with the supplied distilled water. If there is one with dye- colored water, dump it out, rinse, and fill with distilled water. 10. Load the water- filled jar into the scanner by attaching the water- filled jar to the Rotary Stage using the Jar Clamp and mounting the Rotary Stage onto the scanner. Ensure that the Rotary Stage is properly aligned using the alignment tab. 11. Select 320 projections for the scan from the Side Panel. Select the High (0.5 mm) Voxel Resolution option. 12. Acquire a reference scan using the Start Reference Scan button on the Side Panel. Note that reference images are a measure of the incident photons N 0 in equation 1. 13. Open the Projection Viewer window by clicking the Projection Viewer button on the Side Panel. 14. Select Enable Snapshot. Acquire snapshot by selecting Take Snapshot. Save the image for use later in this lab. 15. Remove the jar from the scanner and add 1 ml of dye+water solution to the jar. Secure the jar cap and shake the jar well to mix the liquids. Load the jar into the scanner. 16. Acquire a data scan using the Start Data Scan button on the Side Panel. 17. Once the scan is complete, press the Start Reconstruction button to perform a reconstruction. Measure Attenuation Coefficient in 3D Image Use the image in the 3D Viewer window (bottom right) to measure the linear attenuation coefficient of the liquid in the jar. The liquid in the jar is homogeneous, so a small region can be used to measure the attenuation coefficient. The following steps will be easier if you maximize the 3D Viewer window. 18. Use the Region of Interest (ROI) Histogram feature to make measurements of the attenuation coefficient by selecting the Region of Interest Histogram tab on the 3D Viewer. The default ROI cube should be centered in the 3D image and have a size of 1 cm 3 (as shown in Figure 3). Reset the ROI if required (or to be safe). Use this size and position for all measurements. 2013 Modus Medical Devices Inc. All rights reserved. 4

Figure 3: ROI and histogram display in 3D Viewer 19. Observe the histogram that appears below the 3D image. There should be a spread of values because of noise in the 3D image. These are values of the measured and calculated attenuation coefficient, µ, inside the ROI cube. 20. Record the mean µ value in cm - 1 and uncertainty on the mean (mean and standard deviation on panel to left of the histogram). Repeat Measurement for Darker Liquids 21. Remove the phantom and add another 1 ml of dye+water solution to the phantom. This will make the contents of the jar darker (increased attenuation coefficient). 22. Repeat steps 16 20 above to measure the attenuation coefficient of the darker liquid. Each time you start a new data scan you will be warned that a data scan already exists. Select Yes to Overwrite. 23. Repeat this process by adding another 1 ml of dye+water solution to the jar and scanning, until you have recorded attenuation coefficient measurements for 1, 2, 3, 4, and 5 ml of dye+water solution. 24. Using root, plot the recorded attenuation coefficient versus the amount of dye+water in the jar. Remember to include uncertainties on both the amount of dye+water solution in the jar as well as on the measured attenuation coefficient. 25. Using root, fit a linear function, e.g.,! =!" +!, to the data. Measure Attenuation Coefficient in 2D Image 26. With the darkest liquid still in the scanner, open the Projection Viewer from the Side Panel. 27. Select Enable Snapshot. Acquire a snapshot by selecting Take Snapshot. Save the image. 28. Move the cursor to the middle of the snapshot. Observe the position of the cursor and greyscale pixel value shown along the bottom of the window (as seen in Figure 4). This greyscale value corresponds to the device s measured transmission at that location. 2013 Modus Medical Devices Inc. All rights reserved. 5

Figure 4: Measuring transmission values using Projection Viewer 29. Record the value and cursor location near the center of the jar by placing the cursor over a pixel in this region. Make sure you stay in the region of! = 0.0 and! = 0.0. This measurement corresponds to the attenuated transmission (!). You will see this number very quite a bit, so you should estimate its uncertainty. Take at least 10 different measurements, find the mean, and from the standard deviation of the measurements, estimate the uncertainty on the mean. 30. Load the image of the water only phantom taken in step 14 above. 31. Measure the greyscale value and its uncertainty at approximately the same location as in step 29 above. This measurement corresponds to the maximum transmission (!!) 32. Use equation [1] to calculate the attenuation coefficient of the darkest liquid and its uncertainty. The jar is 7.2 cm in diameter. Discussion / Additional Questions 1. Based on your results, would you say that the DeskCAT scanner is linear? A good way to do this is to try an alternate fit to a higher- order function, i.e.,! =!!! +!! +! and check whether or not the higher- order coefficient c is consistent with zero or not. If it is not linear, what are possible causes of the non- linearity? 2. Is the attenuation coefficient measured in 2D consistent with the value measured in 3D for the darkest liquid? (take into account the uncertainties on each to make this claim). If not, give reasons why. 3. What is a cupping artifact? Do you see a cupping artifact in any of your images? How are cupping artifacts related to linearity? Further Study 4. In this experiment, dye was added to water to change optical density. How would you create a phantom to perform an equivalent experiment in x- ray CT? 5. What are Hounsfield units and how are they related to attenuation coefficients? 6. What is beam hardening in x- ray CT? 2013 Modus Medical Devices Inc. All rights reserved. 6