Review of SPECT Collimator Selection, Optimization, And
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CT Image Reconstruction Basics
CT Image Reconstruction Basics 1. Introduction CT perfusion imaging requires the reconstruction of a series of time-dependent volumetric datasets. The sequence of CT volumes measures the dynamics of contrast agent both in the vasculature and in the parenchyma. CT image reconstruction refers to the computational process of determining tomographic images from X-ray projection images of the irradiated patient. Image reconstruction is a compute-intensive task and one of the most crucial steps in the CT imaging process. As the basics of X-ray physics were detailed in Chapter 1, we assume that the result of the X-ray image formation is an attenuation image. Each individual pixel on the detector therefore represents a line integral, that is, the accumulation of all X-ray attenuation coefficients along the projection line. Here, the projection line is the connecting line of the X-ray focal spot with the center of the respective detector pixel. 2. From Line Integrals to Voxels In spite of the discrete nature of the projection images, most reconstruction theory uses a continuous framework, in which the reconstruction algorithms are derived mathematically. The problem of discrete sampling is then solved within the final formulation of the reconstruction algorithm. As the discrete sampling is a more technical issue, we will neglect it here for the ease of presentation and refer to the literature that details these steps [1]. Thus, we will remain in a continuous domain in this section. a. Radon Transform Figure 1: Parallel-beam geometry and the generation of a parallel-beam projection ( , ). For ease of understanding, we explain the approach in the 2D (x,y) plane.풑 The풔 휽 source- detector arrangement is rotating around the object (Figure 1). -
Manipulation of Object-Based 3D
THE RECONSTRUCTION AND MANIPULATION OF OBJECT-BASED 3D X-RAY IMAGES by Simant Prakoonwit This thesisis submittedin partial fulfilment of the requirementsfor the Degree of Doctor of Philosophy (Ph. D. ) and the Diploma of Imperial College (D. I. C) Departmentof Electricaland Electronic Engineering hnperial Collegeof Science,Technology and Medicine University of London May 1995 ýy4y. AKSTRAICT Computersand graphic peripherals have come to play a significant part in scientific visualisation.In medical applications, many non-invasivetechniques have beendevelopedfor visualising the inner entities of the human body. A major interest has arisen in representationof the entities by digital objects that can be manipulated and displayedusing methods developed in ComputerGraphics. A novel methodin 3D reconstructionis presentedusing the assumptionthat all the entities of interest can be representedas a set of discrete objects. An object is characterisedby its commoncharacteristic. Each object is reconstructedfrom the projections of its surface curvesin about 10 conventional2D X-ray images taken at suitableprojection angles.Yhe method automatically generates an optimumnumber of the object's surface points that are appropriately distributed Yhe method also determines the object's closed surface ftom these surface points. Each solid reconstructedobject is thenrepresented by a Boundary-representation(B-rep) scheme, which is compatiblewith any standarddisplay and manipulationtechnique, and can be manipulatedseparately. Experimentswere performed on both -
Recent Advances in Multi-Modality Molecular Imaging of Small Animals
8/3/2016 Recent Advances in Multi-modality Molecular Imaging of Small Animals Benjamin M. W. Tsui, Ph.D. Department of Radiology August 3, 2016 1 Outline Introduction Early developments of molecular imaging (MI) of small animals (SA) Development of multi-modality MI of SA – Instrumentation – Image reconstruction and processing methods Recent advances Comparing Biomedical Imaging Techniques US MRI X-ray CT SPECT PET OPTICAL Anatomical Yes Yes Yes No No No Functional Yes Yes No Yes Yes Yes Resolution Sub- Sub- Sub- <1 mm ~1 mm Sub- millimeter millimeter millimeter (0.6 – 0.3mm) micron Molecular No Good No Excellent Excellent Excellent Target Molecular targeting No Poor No Good Excellent Poor sensitivity Translational Yes Yes Yes Yes Yes No 1 8/3/2016 Traditional Nuclear Medicine Imaging Techniques an important function imaging modality Activity labels tracer or biomarkers w/ radioisotope distribution administers radio-tracer into patient Gamma detects photon emissions using position- photons sensitive detectors Collimator Provides localization & biodistribution information of radiotracers - e.g., perfusion, potassium analog, monoclonal antibody Scintillation Clinical applications crystal Scintillation - e.g., cardiac and kidney functions, cancer Camera Positioning Photomultiplier detection, neurological disorders circuitry tube array EMISSION COMPUTED TOMOGRAPHY (ECT) an important function imaging modality Nuclear imaging combined with computed tomography (Image reconstruction from multiple projections) Categories of ECT - PET -
Preclinical SPECT Imaging Based on Compact Collimators and High Resolution Scintillation Detectors
Preklinische SPECT-beeldvorming gebaseerd op compacte collimatoren en hogeresolutiescintillatiedetectoren Preclinical SPECT Imaging Based on Compact Collimators and High Resolution Scintillation Detectors Karel Deprez Promotoren: prof. dr. S. Vandenberghe, prof. dr. R. Van Holen Proefschrift ingediend tot het behalen van de graad van Doctor in de Ingenieurswetenschappen Vakgroep Elektronica en Informatiesystemen Voorzitter: prof. dr. ir. J. Van Campenhout Faculteit Ingenieurswetenschappen en Architectuur Academiejaar 2013 - 2014 ISBN 978-90-8578-672-6 NUR 954, 959 Wettelijk depot: D/2014/10.500/18 Department of Electronics and Information Systems Medical Image and Signal Processing (MEDISIP) Faculty of Engineering and Architecture Ghent University MEDISIP IBiTech Campus Heymans, Blok B De Pintelaan 185 9000 Ghent Belgium Promotors Prof. dr. Stefaan Vandenberghe Prof. dr. Roel Van Holen Board of examiners Prof. dr. ir. Patrick De Baets, Ghent University, chairman Dr. Michael Tytgat, Ghent University / CERN, secretary Prof. dr. Luc Van Hoorebeke, Ghent University Prof. dr. Dennis Schaart, Delft University of Technology, The Netherlands Prof. dr. Carlo Fiorini, Politecnico di Milano, Italy Dr. Samuel Espana˜ Palomares, Advanced Imaging Unit, Centro Nacional de Inves- tigaciones Cardiovasculares (CNIC), Spain Dr. Peter Bruyndonckx, Bruker MicroCT, Belgium This work was supported by the 7th Framework Programme (FP7) of the European Union through the SUBLIMA project (Grant Agreement No 241711) Acknowledgements The work presented in this dissertation started in 2008, shortly after the birth of my daughter, and was finished in early 2014. Before I started at the university I had been working for several years as a electronics design engineer at Barco and Gemidis. The first thing that struck me when I started at the university was the content of my work. -
Cone-Beam Reconstruction Using Filtered Backprojection
Link¨oping Studies in Science and Technology Dissertation No. 672 Cone-Beam Reconstruction Using Filtered Backprojection Henrik Turbell Department of Electrical Engineering Link¨opings universitet, SE-581 83 Link¨oping, Sweden Link¨oping, February 2001 ISBN 91-7219-919-9 ISSN 0345-7524 PrintedinSwedenbyUniTryck,Link¨oping 2001 To my parents Abstract The art of medical computed tomography is constantly evolving and the last years have seen new ground breaking systems with multi-row detectors. These tomo- graphs are able to increase both scanning speed and image quality compared to the single-row systems more commonly found in hospitals today. This thesis deals with three-dimensional image reconstruction algorithms to be used in future gen- erations of tomographs with even more detector rows than found in current multi- row systems. The first practical algorithm for three-dimensional reconstruction from cone- beam projections acquired from a circular source trajectory is the FDK method. We present a novel version of this algorithm that produces images of higher quality. We also formulate a version of the FDK method that performs the backprojection in O(N 3 log N) steps instead of the O(N 4) steps traditionally required. An efficient way to acquire volumetric patient data is to use a helical source trajectory together with a multi-row detector. We present an overview of existing reconstruction algorithms for this geometry. We also present a new family of algo- rithms, the PI methods, which seem to surpass other proposals in simplicity while delivering images of high quality. The detector used in the PI methods is limited to a window that exactly fits the cylindrical section between two consecutive turns of the helical source path. -
Iterative Reconstruction of Cone-Beam Micro-CT Data
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Doctoral Dissertations Graduate School 5-2006 Iterative Reconstruction of Cone-Beam Micro-CT Data Thomas Matthew Benson University of Tennessee - Knoxville Follow this and additional works at: https://trace.tennessee.edu/utk_graddiss Part of the Computer Sciences Commons Recommended Citation Benson, Thomas Matthew, "Iterative Reconstruction of Cone-Beam Micro-CT Data. " PhD diss., University of Tennessee, 2006. https://trace.tennessee.edu/utk_graddiss/1640 This Dissertation is brought to you for free and open access by the Graduate School at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Doctoral Dissertations by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. To the Graduate Council: I am submitting herewith a dissertation written by Thomas Matthew Benson entitled "Iterative Reconstruction of Cone-Beam Micro-CT Data." I have examined the final electronic copy of this dissertation for form and content and recommend that it be accepted in partial fulfillment of the requirements for the degree of Doctor of Philosophy, with a major in Computer Science. Jens Gregor, Major Professor We have read this dissertation and recommend its acceptance: Michael Berry, Charles Collins, Michael Thomason, Jonathan Wall Accepted for the Council: Carolyn R. Hodges Vice Provost and Dean of the Graduate School (Original signatures are on file with official studentecor r ds.) To the Graduate Council: I am submitting herewith a dissertation written by Thomas Matthew Benson entitled “Iter- ative Reconstruction of Cone-Beam Micro-CT Data”. I have examined the final electronic copy of this dissertation for form and content and recommend that it be accepted in par- tial fulfillment of the requirements for the degree of Doctor of Philosophy, with a major in Computer Science. -
Advanced Industrial X-Ray Computed Tomography for Defect Detection and Characterisation of Composite Structures
ADVANCED INDUSTRIAL X-RAY COMPUTED TOMOGRAPHY FOR DEFECT DETECTION AND CHARACTERISATION OF COMPOSITE STRUCTURES A thesis submitted to The University of Manchester for the degree of Doctor of Engineering in the Faculty of Engineering and Physical Sciences. 2010 MATHEW AMOS SCHOOL OF MATERIALS Contents Abbreviations 7 Abstract 8 Declaration and Copyright 9 Acknowledgements 10 Chapter 1 1 Introduction 11 1.1 Motivation of Research ……………………………………………….............. 11 1.2 Aims and Objectives ……………………………………………….................. 14 1.3 X-ray Computer Tomography……………………………………................... 14 1.3.1 Commercial Application of X-ray Computed Tomography………. 14 1.3.2 Current Limitations of Industrial X-ray Computed Tomography…………………………………………………………... 15 1.4 Organisation of Thesis…………………………………………………………. 17 Chapter 2 2 Literature Review 18 2.1 Non-Destructive-Testing………………………………………………............. 18 2.1.1 Radiography…………………………………………………………... 19 2.1.1.1 X-ray Physics……………………………………….......... 19 2.1.1.2 X-ray Detectors…………………………………………… 20 2.1.1.3 Application to Fibre-Reinforced-Plastic Composites……………………………………………….. 23 2.1.2 Ultrasonic Testing…………………………………………………….. 24 2.1.1.1 Ultrasonic Inspection Methods………………………….. 26 2.1.1.1 Application to Fibre-Reinforced-Plastic Composites……………………………………………….. 29 2.1.3 Infrared Thermography………………………………………............ 30 2.1.3.1 Application to Fibre-Reinforced-Plastic Composites……………………………………………….. 31 2.1.4 X-ray Computer Tomography……………………………………….. 32 2.1.4.1 Application to Fibre-Reinforced-Plastic Composites……………………………………………….. 34 2 Contents 2.1.5 Summary of NDT Capabilities with respect to FRP Composites……………………………………………………........... 34 2.2 X-ray Computer Tomography…………………………………………………. 36 2.2.1 A Brief History of X-ray CT………………………………………….. 36 2.2.2 X-ray CT Scanning Geometries…………………………………….. 37 2.2.3 CT Reconstruction……………………………………………........... 42 2.2.3.1 General Principles………………………………………. -
Precise and Automated Tomographic Reconstruction with a Limited Number of Projections
Precise and Automated Tomographic Reconstruction with a Limited Number of Projections Zur Erlangung des akademischen Grades eines DOKTOR-INGENIEURS an der Fakultät für Elektrotechnik und Informationstechnik des Karlsruher Instituts für Technologie (KIT) genehmigte Dissertation von M.Eng. Xiaoli Yang geb. in Shandong Province, China Hauptreferent: Prof. Dr. rer. nat. Marc Weber Korreferent: Prof. Dr. rer. nat. Olaf Dössel Tag der mündlichen Prüfung: 12.01.2016 KIT – University of the State of Baden-Württemberg and National Research Center of the Helmholtz Association www.kit.edu This document is licensed under the Creative Commons Attribution – Share Alike 3.0 DE License (CC BY-SA 3.0 DE): http://creativecommons.org/licenses/by-sa/3.0/de/ Ich versichere wahrheitsgemäß, die Dissertation bis auf die dort angegebene Hilfe selb- ständig angefertigt, alle benutzten Hilfsmittel vollständig und genau angegeben und alles kenntlich gemacht zu haben, was aus Arbeiten anderer und eigenen Veröffentlichungen unverändert oder mit Änderungen entnommen wurde. Karlsruhe, den Xiaoli Yang Abstract X-ray computed tomography (CT) is a popular, non-invasive technique capable of pro- ducing high spatial resolution images. It is generally utilized to provide structural infor- mation of objects to examine. In multiple applications, such as biology, material, and medical science, more and more attention has been paid to tomographic imaging with a limited amount of projections. In this thesis, the tomographic imaging with a limited amount of projections is important in adapting a rapid imaging process or limiting the X- ray radiation exposure to a low level. However, fewer projections normally imply poorer quality of image reconstruction with artifacts by the traditional filtered back-projection (FBP) method, hampering the image analysis and interpretation. -
Imaging Technologies for Preclinical Models of Bone and Joint Disorders
Tremoleda et al. EJNMMI Research 2011, 1:11 http://www.ejnmmires.com/content/1/1/11 REVIEW Open Access Imaging technologies for preclinical models of bone and joint disorders Jordi L Tremoleda1*, Magdy Khalil1, Luke L Gompels2, Marzena Wylezinska-Arridge1, Tonia Vincent2 and Willy Gsell1 Abstract Preclinical models for musculoskeletal disorders are critical for understanding the pathogenesis of bone and joint disorders in humans and the development of effective therapies. The assessment of these models primarily relies on morphological analysis which remains time consuming and costly, requiring large numbers of animals to be tested through different stages of the disease. The implementation of preclinical imaging represents a keystone in the refinement of animal models allowing longitudinal studies and enabling a powerful, non-invasive and clinically translatable way for monitoring disease progression in real time. Our aim is to highlight examples that demonstrate the advantages and limitations of different imaging modalities including magnetic resonance imaging (MRI), computed tomography (CT), positron emission tomography (PET), single-photon emission computed tomography (SPECT) and optical imaging. All of which are in current use in preclinical skeletal research. MRI can provide high resolution of soft tissue structures, but imaging requires comparatively long acquisition times; hence, animals require long-term anaesthesia. CT is extensively used in bone and joint disorders providing excellent spatial resolution and good contrast for bone imaging. Despite its excellent structural assessment of mineralized structures, CT does not provide in vivo functional information of ongoing biological processes. Nuclear medicine is a very promising tool for investigating functional and molecular processes in vivo with new tracers becoming available as biomarkers. -
Hybrid Gamma Camera Imaging: Translation from Bench to Bedside
Hybrid Gamma Camera Imaging: Translation from Bench to Bedside A thesis submitted to the University of Nottingham for the degree of Doctor of Philosophy by Aik Hao Ng MMed.Phys. Radiological Sciences, Division of Clinical Neuroscience, School of Medicine September 2017 Declaration I, Aik Hao Ng declare that the work presented in this thesis is my own original work based on the research undertaken during my PhD study period unless otherwise referenced or acknowledged. ii “Life is like riding a bicycle. To keep your balance, you must keep moving.” - Albert Einstein Abstract There is increasing interest in the use of small field of view (SFOV) portable gamma cameras in medical imaging. A novel hybrid optical-gamma camera (HGC) has been developed through a collaboration between the Universities of Leicester and Nottingham. This system offers high resolution gamma and optical imaging and shows potential for use at the patient bedside, or in the operating theatre. The aim of this thesis was to translate the HGC technology from in vitro laboratory studies to clinical use in human subjects. Pilot studies were undertaken with the HGC as part of this thesis. Furthermore, efforts have been made to transform the HGC technologies into a new medical device, known as Nebuleye. Initial physical evaluation of the pre-production prototype camera was carried out as part of the device developmental process, highlighting some aspects of the design that require further modification. A complete and rigorous testing scheme to assess the pre-production prototype camera has been developed and successfully implemented. The newly introduced tests enabled the system uniformity, system sensitivity, detector head shielding leakage, optical-gamma image alignment and optical image quality of the hybrid camera to be assessed objectively. -
Image Quality of Digital Breast Tomosynthesis: Optimization in Image Acquisition and Reconstruction
Image Quality of Digital Breast Tomosynthesis: Optimization in Image Acquisition and Reconstruction by Gang Wu A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Graduate Department of Medical Biophysics University of Toronto c Copyright 2014 by Gang Wu Abstract Image Quality of Digital Breast Tomosynthesis: Optimization in Image Acquisition and Reconstruction Gang Wu Doctor of Philosophy Graduate Department of Medical Biophysics University of Toronto 2014 Breast cancer continues to be the most frequently diagnosed cancer in Canadian women. Currently, mammography is the clinically accepted best modality for breast cancer detection and the regular use of screening has been shown to contribute to reduced mortality. However, mammography suffers from several drawbacks which limit its sensitivity and specificity. As a potential solution, digital breast to- mosynthesis (DBT) uses a limited number (typically 10{20) of low-dose x-ray projections to produce a three-dimensional tomographic representation of the breast. The reconstruction of DBT images is challenged by such incomplete sampling. The purpose of this thesis is to evaluate the effect of image acquisition parameters on image quality of DBT for various reconstruction techniques and to optimize these, with three specific goals: A) Develop a better power spectrum estimator for detectability calcu- lation as a task-based image quality index; B) Develop a paired-view algorithm for artifact removal in DBT reconstruction; and C) Increase dose efficiency in DBT by reducing random noise. A better power spectrum estimator was developed using a multitaper technique, which yields reduced bias and variance in estimation compared to the conventional moving average method. -
Tomography Algorithms Development of Computed
International Journal of Biomedical Imaging Development of Computed Tomography Algorithms Guest Editors: Hengyong Yu, Patrick J. La Riviere, and Xiangyang Tang International Journal of Biomedical Imaging Development of Computed Tomography Algorithms International Journal of Biomedical Imaging Development of Computed Tomography Algorithms Guest Editors: Hengyong Yu, Patrick J. La Riviere, and Xiangyang Tang Copyright © 2006 Hindawi Publishing Corporation. All rights reserved. This is a special issue published in volume 2006 of “International Journal of Biomedical Imaging.” All articles are open access articles distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Editor-in-Chief Ge Wang, Virginia Polytechnic Institute and State University, USA Associate Editors Haim Azhari, Israel Ming Jiang, China Jie Tian, China Kyongtae Bae, USA Marc Kachelrieß, Germany Michael Vannier, USA Richard Bayford, UK Seung Wook Lee, South Korea Yue Wang, USA Freek Beekman, The Netherlands Alfred Karl Louis, Germany Guowei Wei, USA Subhasis Chaudhuri, India Erik Meijering, The Netherlands David L. Wilson, USA Jyh-Cheng Chen, Taiwan Vasilis Ntziachristos, USA Sun Guk Yu, South Korea Anne Clough, USA Scott Pohlman, USA Habib Zaidi, Switzerland Carl Crawford, USA Erik Ritman, USA Yantian Zhang, USA Min Gu, Australia Jay Rubinstein, USA Yibin Zheng, USA Eric Hoffman, USA Pete Santago, USA Tiange Zhuang, China Jiang Hsieh, USA Lizhi Sun,