Emission Computed Tomography Notes

Similar documents
Medical Imaging BMEN Spring 2016

Introduction to Positron Emission Tomography

Corso di laurea in Fisica A.A Fisica Medica 5 SPECT, PET

Introduction to Emission Tomography

BME I5000: Biomedical Imaging

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

SNIC Symposium, Stanford, California April The Hybrid Parallel Plates Gas Counter for Medical Imaging

Constructing System Matrices for SPECT Simulations and Reconstructions

Tomography. Forward projectionsp θ (r) are known as a Radon transform. Objective: reverse this process to form the original image

Review of PET Physics. Timothy Turkington, Ph.D. Radiology and Medical Physics Duke University Durham, North Carolina, USA

Diagnostic imaging techniques. Krasznai Zoltán. University of Debrecen Medical and Health Science Centre Department of Biophysics and Cell Biology

Positron. MillenniumVG. Emission Tomography Imaging with the. GE Medical Systems

Digital Image Processing

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

Image Acquisition Systems

Computational Medical Imaging Analysis

Workshop on Quantitative SPECT and PET Brain Studies January, 2013 PUCRS, Porto Alegre, Brasil Corrections in SPECT and PET

Reconstruction in CT and relation to other imaging modalities

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

Theoretical Investigations of Tomographic Methods used for Determination of the Integrity of Spent BWR Nuclear Fuel

Introduction to Biomedical Imaging

ANALYSIS OF CT AND PET/SPECT IMAGES FOR DOSIMETRY CALCULATION

INTERNATIONAL STANDARD

Artifact Mitigation in High Energy CT via Monte Carlo Simulation

Validation of GEANT4 for Accurate Modeling of 111 In SPECT Acquisition

Principles of Computerized Tomographic Imaging

Reconstruction from Projections

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

Lecture 6: Medical imaging and image-guided interventions

Positron Emission Tomography

SPECT reconstruction

REMOVAL OF THE EFFECT OF COMPTON SCATTERING IN 3-D WHOLE BODY POSITRON EMISSION TOMOGRAPHY BY MONTE CARLO

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

A novel coupled transmission-reflection tomography and the V-line Radon transform

MEDICAL IMAGING 2nd Part Computed Tomography

Fits you like no other

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

CHAPTER 11 NUCLEAR MEDICINE IMAGING DEVICES

Medical Images Analysis and Processing

Determination of Three-Dimensional Voxel Sensitivity for Two- and Three-Headed Coincidence Imaging

Fits you like no other

Index. aliasing artifacts and noise in CT images, 200 measurement of projection data, nondiffracting

Abstract I. INTRODUCTION

Cherenkov Radiation. Doctoral Thesis. Rok Dolenec. Supervisor: Prof. Dr. Samo Korpar

(RMSE). Reconstructions showed that modeling the incremental blur improved the resolution of the attenuation map and quantitative accuracy.

James R Halama, PhD Loyola University Medical Center

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

3-D PET Scatter Correction

Simulations in emission tomography using GATE

X-ray tomography. X-ray tomography. Applications in Science. X-Rays. Notes. Notes. Notes. Notes

Central Slice Theorem

AN ELLIPTICAL ORBIT BACKPROJECTION FILTERING ALGORITHM FOR SPECT

Medical Image Analysis

UNIVERSITY OF SOUTHAMPTON

GPU implementation for rapid iterative image reconstruction algorithm

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

An educational tool for demonstrating the TOF-PET technique

Philips SPECT/CT Systems

arxiv: v2 [cond-mat.mtrl-sci] 5 Jan 2010

Image Reconstruction from Projection

FIELD PARADIGM FOR 3D MEDICAL IMAGING: Safer, More Accurate, and Faster SPECT/PET, MRI, and MEG

Detector simulations for in-beam PET with FLUKA. Francesco Pennazio Università di Torino and INFN, TORINO

CIVA Computed Tomography Modeling

Biomedical Imaging. Computed Tomography. Patrícia Figueiredo IST

Topic 8: Tomographic Imaging

Iterative and analytical reconstruction algorithms for varying-focal-length cone-beam

Extremely Fast Detector for 511 kev Gamma

Impact of X-ray Scatter When Using CT-based Attenuation Correction in PET: A Monte Carlo Investigation

SINGLE-PHOTON emission computed tomography

TESTING OF THE CIRCLE AND LINE ALGORITHM IN THE SETTING OF MICRO-CT

COUNT RATE AND SPATIAL RESOLUTION PERFORMANCE OF A 3-DIMENSIONAL DEDICATED POSITRON EMISSION TOMOGRAPHY (PET) SCANNER

Medical Image Reconstruction Term II 2012 Topic 6: Tomography

Continuation Format Page

The great interest shown toward PET instrumentation is

ADVANCES IN FLUKA PET TOOLS

An FDK-like cone-beam SPECT reconstruction algorithm for non-uniform attenuated

Material for Chapter 6: Basic Principles of Tomography M I A Integral Equations in Visual Computing Material

Introduction to Computer Graphics. Ray Tracing Review

ISO ISO ISO OHSAS ISO

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

Nuclear Medicine Imaging

normal angle of incidence increases special angle no light is reflected

Medical Imaging Introduction

FRONT-END DATA PROCESSING OF NEW POSITRON EMIS- SION TOMOGRAPHY DEMONSTRATOR

Ch. 4 Physical Principles of CT

Multilevel Optimization for Multi-Modal X-ray Data Analysis

Improvement of Efficiency and Flexibility in Multi-slice Helical CT

Translational Computed Tomography: A New Data Acquisition Scheme

Compressed Sensing for Electron Tomography

If it matters to you, it matters to us

Image Reconstruction Methods for Dedicated Nuclear Medicine Detectors for Prostate Imaging

Absolute quantification in brain SPECT imaging

ACOMPTON-SCATTERING gamma camera records two

NKS GammaUser

4π Compton imaging with single 3D position sensitive CdZnTe detector

Combining Analytical and Monte Carlo Modelling for Industrial Radiology

Synrad3D Photon propagation and scattering simulation

CS 5630/6630 Scientific Visualization. Volume Rendering I: Overview

Evaluation of attenuation and scatter correction requirements in small animal PET and SPECT imaging

Nuclear Medicine Imaging Systems

Transcription:

Noll (24) ECT Notes: Page 1 Emission Computed Tomography Notes Introduction Emission computed tomography (ECT) is the CT applied to nuclear medicine. There are two varieties of ECT: 1. SPECT single-photon emission computed tomography. This is the usual gamma ray sources an collection using a gamma camera. 2. PET positron emission tomography. Here a positron is the nuclear decay product and positrons undergo mutual annihilation with an electron and two 511 kev photons are emitted. SPECT As in a gamma camera, a parallel hole collimator is used to acquire photons from a 3D source of photons. In comparison to the gamma camera, we will swap coordinate aes to match what we ve done in CT: Here, the image intensity for a projection in will be: I d ( s(, (we ve dropped the capture efficiency constant). As we can see, we simultaneously acquire projections for many z planes. Now, we move the detector around the object to gather projections at many different angle:

Noll (24) ECT Notes: Page 2 For efficienc we might have 2-4 detectors acquiring simultaneously. We replace the y coordinate with R, the dimension along the projection: g ( R, s(, δ ( cosθ + y sinθ R) dy θ For each z-plane, we now can reconstruct the images using the techniques learned for CT. Attenuation issues. Because there is attenuation as the photons pass through the bod there might be artifact in reconstructing the image of the source. To look at this issue, we again eamine the projection in -direction: g ( R, µ s(, ep ( ', ' r where r is the radius of the body being imaged. since we are acquiring at many different angles, we can also acquire in the opposite direction (e.g. acquire projections at θ and θ π). The complementary projection is: g r ( R, µ s(, ep ( ', ' For a point source at a, s(, δ(-a), and a uniform µ, we get: g ( R, δ ( ep δ ( a)ep a)ep( µ ( a + r )) ( µ ( a + r )) and for the complementary projection it is: r µ ( ', '

Noll (24) ECT Notes: Page 3 g δ ( ep ( R, δ ( a)ep a)ep( µ ( r a) ) ( µ ( r a) ) By averaging these two projections we get: g ( R, 1 2 r µ ( ', ' 1 2 [ ep( µ ( a + r )) + ep( µ ( r a) )] [( 1 µ ( a + r )) + ( 1 µ ( r a) )] 1 µ r which is independent of the position of the source along the projection (a), though not independent of attenuation. So, to first order, the depth dependent attenuation effects are canceled by average projections in opposite directions. This is standard practice in SPECT. Comments: 1. SPECT collects parallel ray geometry projections (in projection -ray imaging, it is a fan beam geometry). 2. Multiple parallel slices are acquired simultaneously. 3. Projections are acquired over the full 2π range (rather than π) in order to partially cancel attenuation effects. 4. Multiple camera heads are used to improve efficiency (number of photons captured is proportional to number of heads). 5. Capture efficiency is still quite low and SNR/spatial resolution is usually poor. PET In positron emission tomograph an accelerator is used to create unstable nuclei that emit positrons. The most common positron emitters used are: Decay Event Half Life 11 C 11 B + β+ 2 min. 15 O 15 N + β+ 2 min. 18 F 18 O + β+ 2 hrs.

Noll (24) ECT Notes: Page 4 The positrons undergo mutual annihilation with an electron and two 511 kev photons are emitted. What makes PET unique from SPECT is that the two photons are emitted in nearly equal and opposite directions. This results from conservation of momentum and energy. To the etent that they are not eactly opposite in direction results from some initial momentum on the positron: The rest mass of both the positron and the electron being annihilated are both 511 kev and this is all converted to photon energy. The photons are captured by a ring of detectors and an electronic circuit (coincidence detector) analyzes the results. If two photons are captured closely spaced in time, the coincidence detector will identify these as coming from the same decay event. Based on the geometry of the detectors, we can say with a high degree of certainty that the decay event occurred along a particular line and a counter for that line is incremented to indicate that an event has been detected. Pairs of detectors form a line. Each detector may detect events along many lines. A group of parallel lines can be used to form a projection at a particular angle and a different group of parallel lines can be used to form a projection at a different angle:

Noll (24) ECT Notes: Page 5 These projects can then be reconstructed by the usual methods. Comments: 1. In PET projection geometry is determined by pairs of detectors that detect events. In SPECT, this is determined by the parallel hole collimator. In -ray CT, it is determined by the line from the source to the detector. 2. There is no collimator so the capture efficiency is much higher than SPECT (typically 2% (in 2D mode) vs..2% in SPECT). 3. The higher E (511 kev vs. the typical 14 kev in SPECT) results in less attenuation. 4. Higher resolution is possible compared to SPECT. 5. Random (accidental) and scattered coincidences are sources of error:

Noll (24) ECT Notes: Page 6 6. The 3D dimension is acquired by having a stack of detector rings. In 2D mode, septa prevent decays from different z positions from striking the wrong ring. 7. There is a true 3D acquisition in which the septa are removed. This leads to a dramatic increase in capture efficiency (and thus SNR). Here we have projections in the -y plane as well as projections tilted in the z-direction. The image reconstruction problem for a set of 3D projections is very interesting, but beyond the scope of this course.