Residual Correction Algorithms For Statistical Image Reconstruction In Positron Emission Tomography

Download Residual Correction Algorithms For Statistical Image Reconstruction In Positron Emission Tomography full books in PDF, epub, and Kindle. Read online Residual Correction Algorithms For Statistical Image Reconstruction In Positron Emission Tomography ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Residual Correction Algorithms for Statistical Image Reconstruction in Positron Emission Tomography

Author : Lin Fu
Publisher :
ISBN 13 : 9781124025315
Total Pages : pages
Book Rating : 4.0/5 (253 download)

DOWNLOAD NOW!

Book Synopsis Residual Correction Algorithms for Statistical Image Reconstruction in Positron Emission Tomography by : Lin Fu

Download or read book Residual Correction Algorithms for Statistical Image Reconstruction in Positron Emission Tomography written by Lin Fu and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Positron emission tomography (PET) is a radionuclide imaging modality that plays important roles in visualizing, targeting, and quantifying functional processes in vivo. High-resolution and quantitative PET images are reconstructed by solving large-scale inverse problems with iterative methods that incorporate accurate physics and noise modeling of the imaging process. The computation demands of PET image reconstruction are rapidly increasing as higher-resolution detectors, larger imaging field-of-view, and dynamic or adaptive data acquisition modes are being adopted by modern PET scanners. The trend of the increase in the computation demands is even faster than Moore's law that describes the exponential growth in the number of transistors placed on an integrated circuit. In this project a residual correction mechanism is introduced to PET image reconstruction to create computationally efficient yet accurate tomographic reconstruction algorithms. By using residual correction, reconstruction methods are able to adopt a more simplified physical model for fast computation while retaining the accuracy of the final solution. Residual correction can accelerate existing image reconstruction packages. It allows iterative reconstruction with more accurate physical models which are currently impractical due to the high computation cost. Two illustrative applications of the residual correction approach are provided. One is image reconstruction with an object-dependent Monte Carlo based physics model. The other is image reconstruction using an ultra fast GPU-accelerated simplified geometric model.

Physics of PET and SPECT Imaging

Author : Magnus Dahlbom
Publisher : CRC Press
ISBN 13 : 1315356783
Total Pages : 519 pages
Book Rating : 4.3/5 (153 download)

DOWNLOAD NOW!

Book Synopsis Physics of PET and SPECT Imaging by : Magnus Dahlbom

Download or read book Physics of PET and SPECT Imaging written by Magnus Dahlbom and published by CRC Press. This book was released on 2017-02-17 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: PET and SPECT imaging has improved to such a level that they are opening up exciting new horizons in medical diagnosis and treatment. This book provides a complete introduction to fundamentals and the latest progress in the field, including an overview of new scintillator materials and innovations in photodetector development, as well as the latest system designs and image reconstruction algorithms. It begins with basics of PET and SPECT physics, followed by technology advances and computing methods, quantitative techniques, multimodality imaging, instrumentation, pre-clinical and clinical imaging applications.

Basic Science of PET Imaging

Author : Magdy M. Khalil
Publisher : Springer
ISBN 13 : 3319400703
Total Pages : 621 pages
Book Rating : 4.3/5 (194 download)

DOWNLOAD NOW!

Book Synopsis Basic Science of PET Imaging by : Magdy M. Khalil

Download or read book Basic Science of PET Imaging written by Magdy M. Khalil and published by Springer. This book was released on 2016-11-07 with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a wide-ranging and up-to-date overview of the basic science underlying PET and its preclinical and clinical applications in modern medicine. In addition, it provides the reader with a sound understanding of the scientific principles and use of PET in routine practice and biomedical imaging research. The opening sections address the fundamental physics, radiation safety, CT scanning dosimetry, and dosimetry of PET radiotracers, chemistry and regulation of PET radiopharmaceuticals, with information on labeling strategies, tracer quality control, and regulation of radiopharmaceutical production in Europe and the United States. PET physics and instrumentation are then discussed, covering the basic principles of PET and PET scanning systems, hybrid PET/CT and PET/MR imaging, system calibration, acceptance testing, and quality control. Subsequent sections focus on image reconstruction, processing, and quantitation in PET and hybrid PET and on imaging artifacts and correction techniques, with particular attention to partial volume correction and motion artifacts. The book closes by examining clinical applications of PET and hybrid PET and their physiological and/or molecular basis in conjunction with technical foundations in the disciplines of oncology, cardiology and neurology, PET in pediatric malignancy and its role in radiotherapy treatment planning. Basic Science of PET Imaging will meet the needs of nuclear medicine practitioners, other radiology specialists, and trainees in these fields.

Statistical Image Reconstruction for Quantitative Computed Tomography

Author : Joshua D. Evans
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (748 download)

DOWNLOAD NOW!

Book Synopsis Statistical Image Reconstruction for Quantitative Computed Tomography by : Joshua D. Evans

Download or read book Statistical Image Reconstruction for Quantitative Computed Tomography written by Joshua D. Evans and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical iterative reconstruction (SIR) algorithms for x-ray computed tomography (CT) have the potential to reconstruct images with less noise and systematic error than the conventional filtered backprojection (FBP) algorithm. More accurate reconstruction algorithms are important for reducing imaging dose and for a wide range of quantitative CT applications. The work presented herein investigates some potential advantages of one such statistically motivated algorithm called Alternating Minimization (AM). A simulation study is used to compare the tradeoff between noise and resolution in images reconstructed with the AM and FBP algorithms. The AM algorithm is employed with an edge-preserving penalty function, which is shown to result in images with contrast-dependent resolution. The AM algorithm always reconstructed images with less image noise than the FBP algorithm. Compared to previous studies in the literature, this is the first work to clearly illustrate that the reported noise advantage when using edge-preserving penalty functions can be highly dependent on the contrast of the object used for quantifying resolution. A polyenergetic version of the AM algorithm, which incorporates knowledge of the scanner's x-ray spectrum, is then commissioned from data acquired on a commercially available CT scanner. Homogeneous cylinders are used to assess the absolute accuracy of the polyenergetic AM algorithm and to compare systematic errors to conventional FBP reconstruction. Methods to estimate the x-ray spectrum, model the bowtie filter and measure scattered radiation are outlined which support AM reconstruction to within 0.5% of the expected ground truth. The polyenergetic AM algorithm reconstructs the cylinders with less systematic error than FBP, in terms of better image uniformity and less object-size dependence. Finally, the accuracy of a post-processing dual-energy CT (pDECT) method to non-invasively measure a material's photon cross-section information is investigated. Data is acquired on a commercial scanner for materials of known composition. Since the pDECT method has been shown to be highly sensitive to reconstructed image errors, both FBP and polyenergetic AM reconstruction are employed. Linear attenuation coefficients are estimated with residual errors of around 1% for energies of 30 keV to 1 MeV with errors rising to 3%-6% at lower energies down to 10 keV. In the ideal phantom geometry used here, the main advantage of AM reconstruction is less random cross-section uncertainty due to the improved noise performance.

Convergent Algorithms for Statistical Image Reconstruction in Emission Tomography

Author : Sangtae Ahn
Publisher :
ISBN 13 :
Total Pages : 378 pages
Book Rating : 4.3/5 (91 download)

DOWNLOAD NOW!

Book Synopsis Convergent Algorithms for Statistical Image Reconstruction in Emission Tomography by : Sangtae Ahn

Download or read book Convergent Algorithms for Statistical Image Reconstruction in Emission Tomography written by Sangtae Ahn and published by . This book was released on 2004 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Fundamentals of Computerized Tomography

Author : Gabor T. Herman
Publisher : Springer Science & Business Media
ISBN 13 : 1846287235
Total Pages : 302 pages
Book Rating : 4.8/5 (462 download)

DOWNLOAD NOW!

Book Synopsis Fundamentals of Computerized Tomography by : Gabor T. Herman

Download or read book Fundamentals of Computerized Tomography written by Gabor T. Herman and published by Springer Science & Business Media. This book was released on 2009-07-14 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: This revised and updated second edition – now with two new chapters - is the only book to give a comprehensive overview of computer algorithms for image reconstruction. It covers the fundamentals of computerized tomography, including all the computational and mathematical procedures underlying data collection, image reconstruction and image display. Among the new topics covered are: spiral CT, fully 3D positron emission tomography, the linogram mode of backprojection, and state of the art 3D imaging results. It also includes two new chapters on comparative statistical evaluation of the 2D reconstruction algorithms and alternative approaches to image reconstruction.

Statistical Tomographic Image Reconstruction Methods for Randoms-precorrected PET Measurements

Author : Mehmet Yavuz
Publisher :
ISBN 13 :
Total Pages : 410 pages
Book Rating : 4.3/5 (91 download)

DOWNLOAD NOW!

Book Synopsis Statistical Tomographic Image Reconstruction Methods for Randoms-precorrected PET Measurements by : Mehmet Yavuz

Download or read book Statistical Tomographic Image Reconstruction Methods for Randoms-precorrected PET Measurements written by Mehmet Yavuz and published by . This book was released on 2000 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Image Reconstruction with Anatomical Priors in Positron Emission Tomography

Author : Chung Chan
Publisher :
ISBN 13 :
Total Pages : 374 pages
Book Rating : 4.:/5 (318 download)

DOWNLOAD NOW!

Book Synopsis Statistical Image Reconstruction with Anatomical Priors in Positron Emission Tomography by : Chung Chan

Download or read book Statistical Image Reconstruction with Anatomical Priors in Positron Emission Tomography written by Chung Chan and published by . This book was released on 2008 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt:

3D Image Reconstruction for CT and PET

Author : Daniele Panetta
Publisher : CRC Press
ISBN 13 : 100017588X
Total Pages : 97 pages
Book Rating : 4.0/5 (1 download)

DOWNLOAD NOW!

Book Synopsis 3D Image Reconstruction for CT and PET by : Daniele Panetta

Download or read book 3D Image Reconstruction for CT and PET written by Daniele Panetta and published by CRC Press. This book was released on 2020-10-11 with total page 97 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a practical guide to tomographic image reconstruction with projection data, with strong focus on Computed Tomography (CT) and Positron Emission Tomography (PET). Classic methods such as FBP, ART, SIRT, MLEM and OSEM are presented with modern and compact notation, with the main goal of guiding the reader from the comprehension of the mathematical background through a fast-route to real practice and computer implementation of the algorithms. Accompanied by example data sets, real ready-to-run Python toolsets and scripts and an overview the latest research in the field, this guide will be invaluable for graduate students and early-career researchers and scientists in medical physics and biomedical engineering who are beginners in the field of image reconstruction. A top-down guide from theory to practical implementation of PET and CT reconstruction methods, without sacrificing the rigor of mathematical background Accompanied by Python source code snippets, suggested exercises, and supplementary ready-to-run examples for readers to download from the CRC Press website Ideal for those willing to move their first steps on the real practice of image reconstruction, with modern scientific programming language and toolsets Daniele Panetta is a researcher at the Institute of Clinical Physiology of the Italian National Research Council (CNR-IFC) in Pisa. He earned his MSc degree in Physics in 2004 and specialisation diploma in Health Physics in 2008, both at the University of Pisa. From 2005 to 2007, he worked at the Department of Physics "E. Fermi" of the University of Pisa in the field of tomographic image reconstruction for small animal imaging micro-CT instrumentation. His current research at CNR-IFC has as its goal the identification of novel PET/CT imaging biomarkers for cardiovascular and metabolic diseases. In the field micro-CT imaging, his interests cover applications of three-dimensional morphometry of biosamples and scaffolds for regenerative medicine. He acts as reviewer for scientific journals in the field of Medical Imaging: Physics in Medicine and Biology, Medical Physics, Physica Medica, and others. Since 2012, he is adjunct professor in Medical Physics at the University of Pisa. Niccolò Camarlinghi is a researcher at the University of Pisa. He obtained his MSc in Physics in 2007 and his PhD in Applied Physics in 2012. He has been working in the field of Medical Physics since 2008 and his main research fields are medical image analysis and image reconstruction. He is involved in the development of clinical, pre-clinical PET and hadron therapy monitoring scanners. At the time of writing this book he was a lecturer at University of Pisa, teaching courses of life-sciences and medical physics laboratory. He regularly acts as a referee for the following journals: Medical Physics, Physics in Medicine and Biology, Transactions on Medical Imaging, Computers in Biology and Medicine, Physica Medica, EURASIP Journal on Image and Video Processing, Journal of Biomedical and Health Informatics.

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014

Author : Polina Golland
Publisher : Springer
ISBN 13 : 3319104047
Total Pages : 869 pages
Book Rating : 4.3/5 (191 download)

DOWNLOAD NOW!

Book Synopsis Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014 by : Polina Golland

Download or read book Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014 written by Polina Golland and published by Springer. This book was released on 2014-08-31 with total page 869 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNCS 8673, 8674, and 8675 constitutes the refereed proceedings of the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, held in Boston, MA, USA, in September 2014. Based on rigorous peer reviews, the program committee carefully selected 253 revised papers from 862 submissions for presentation in three volumes. The 100 papers included in the first volume have been organized in the following topical sections: microstructure imaging; image reconstruction and enhancement; registration; segmentation; intervention planning and guidance; oncology; and optical imaging.

Image Reconstruction Algorithms for Achieving High-resolution Positron Emission Tomography Images

Author : Ji-Ho Chang
Publisher :
ISBN 13 :
Total Pages : 320 pages
Book Rating : 4.:/5 (88 download)

DOWNLOAD NOW!

Book Synopsis Image Reconstruction Algorithms for Achieving High-resolution Positron Emission Tomography Images by : Ji-Ho Chang

Download or read book Image Reconstruction Algorithms for Achieving High-resolution Positron Emission Tomography Images written by Ji-Ho Chang and published by . This book was released on 2004 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Correction Techniques in Emission Tomography

Author : Mohammad Dawood
Publisher : CRC Press
ISBN 13 : 1439812985
Total Pages : 304 pages
Book Rating : 4.4/5 (398 download)

DOWNLOAD NOW!

Book Synopsis Correction Techniques in Emission Tomography by : Mohammad Dawood

Download or read book Correction Techniques in Emission Tomography written by Mohammad Dawood and published by CRC Press. This book was released on 2012-04-27 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by an interdisciplinary team of medical doctors, computer scientists, physicists, engineers, and mathematicians, Correction Techniques in Emission Tomography presents various correction methods used in emission tomography to generate and enhance images. It discusses the techniques from a computer science, mathematics, and physics viewpoint. The book gives a comprehensive overview of correction techniques at different levels of the data processing workflow. It covers nuclear medicine imaging, hybrid emission tomography (PET-CT, SPECT-CT, PET-MRI, PET-ultrasound), and optical imaging (fluorescence molecular tomography). It illustrates basic principles as well as recent advances, such as model-based iterative algorithms and 4D methods. An important aspect of the book is on new and sophisticated motion correction techniques in PET imaging. These techniques enable high-resolution, high-quality images, leading to better imaging analysis and image-based diagnostics. Reflecting state-of-the-art research, this volume explores the range of problems that occur in emission tomography. It looks at how the resulting images are affected and presents practical compensation methods to overcome the problems and improve the images.

Development of Scatter Reconstruction Algorithms to 3-dimensional Positron Emission Tomography

Author : Mohammadreza Teimoorisichani
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (135 download)

DOWNLOAD NOW!

Book Synopsis Development of Scatter Reconstruction Algorithms to 3-dimensional Positron Emission Tomography by : Mohammadreza Teimoorisichani

Download or read book Development of Scatter Reconstruction Algorithms to 3-dimensional Positron Emission Tomography written by Mohammadreza Teimoorisichani and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 3-dimensional positron emission tomography (PET), the proportion of the detected photon coincidences arising from scatter can be very high, up to 60%. A standard approach to scatter correction in 3D PET is to estimate the scattered coincidences and subtract them from the list of recorded events. More recently, novel techniques have been proposed in which the information carried by the scattered photons was extracted and directly used in the image reconstruction step. In this work, the algorithms were extended for use in non-TOF 3D PET systems and were qualitatively and quantitatively evaluated. Despite some promising initial outcomes, standard performance metrics of images reconstructed with each technique, representing the quality of images, was shown to be deteriorated under specified conditions. Further work is required to investigate potential benefits of the proposed algorithms for both ideal and clinical conditions.

Speed of Estimation in Positron Emission Tomography

Author : Stanford University. Department of Statistics
Publisher :
ISBN 13 :
Total Pages : 46 pages
Book Rating : 4.:/5 (123 download)

DOWNLOAD NOW!

Book Synopsis Speed of Estimation in Positron Emission Tomography by : Stanford University. Department of Statistics

Download or read book Speed of Estimation in Positron Emission Tomography written by Stanford University. Department of Statistics and published by . This book was released on 1988 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: Several algorithms for image reconstruction in positron emission tomography (PET) have been described in the medical and statistical literature. A continuous idealisation of the PET reconstruction problem is studied, considered as an example of bivariate density estimation based on indirect observations. Given a large sample of indirect observations, the size is considered of the equivalent sample of observations, whose original exact positions would allow equally accurate estimation of the image of interest. Both for indirect and for direct observations, the exact minimax rates are established for convergence of estimation, for all possible estimators, over suitable smoothness classes of functions. For indirect data and (in practice unobservable) direct data, these rates are n exp( -p/(p+2)) and (n/log n) exp( -p/(p+1)) respectively, for densities in a class corresponding to bounded square-integrable pth derivatives. Numerical values are obtained for equivalent sample sizes for a particular class of orthogonal series estimators, based on the eigenfunctions of the Radon transform. Keywords: Density estimation; Fano's lemma; Image analysis; Information theory; Inverse problems; Minimax; Orthogonal series; Radon transform; Singular value decomposition; Tomography. (JHD).

A Study of Modified Fisher Scoring Algorithms for Statistical Image Reconstruction in Emission Tomography

Author : Khairil Anwar Notodiputro
Publisher :
ISBN 13 :
Total Pages : 518 pages
Book Rating : 4.:/5 (221 download)

DOWNLOAD NOW!

Book Synopsis A Study of Modified Fisher Scoring Algorithms for Statistical Image Reconstruction in Emission Tomography by : Khairil Anwar Notodiputro

Download or read book A Study of Modified Fisher Scoring Algorithms for Statistical Image Reconstruction in Emission Tomography written by Khairil Anwar Notodiputro and published by . This book was released on 1991 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Correction Techniques in Emission Tomography

Author : Mohammad Dawood
Publisher : CRC Press
ISBN 13 : 1439813019
Total Pages : 301 pages
Book Rating : 4.4/5 (398 download)

DOWNLOAD NOW!

Book Synopsis Correction Techniques in Emission Tomography by : Mohammad Dawood

An Improved Positron Emission Tomography (PET) Reconstruction of 2D Activity Distribution Using Higher Order Scattered Data

Author : Hongwei Sun
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (135 download)

DOWNLOAD NOW!

Book Synopsis An Improved Positron Emission Tomography (PET) Reconstruction of 2D Activity Distribution Using Higher Order Scattered Data by : Hongwei Sun

Download or read book An Improved Positron Emission Tomography (PET) Reconstruction of 2D Activity Distribution Using Higher Order Scattered Data written by Hongwei Sun and published by . This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Positron Emission Tomography (PET) images reconstructed without adequate scatter corrections introduce noise and degrade image contrast. In commercial imaging systems, misalignment between computed tomography (CT) and PET images can introduce biases in the activity distribution. Recently, several reconstruction algorithms have been proposed, which made direct use of single scattered photons in the activity reconstruction. However, the realistic dataset contains single and higher order scattered photons, and current scatter reconstruction methods do not distinguish them. In this study, a novel reconstruction algorithm that is capable of processing higher order scattered photons was developed. A restricted attenuation correction method was created to avoid overcorrecting for scattered photons. The simulation outcomes have shown that the proposed methods can, under ideal energy resolution, reconstruct images that are qualitatively and quantitatively better than those obtained using existing algorithms, and that the methods show promise for use under more realistic clinical conditions.