Convergent Algorithms for Statistical Image Reconstruction in Emission Tomography PDF Download
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Author: Sangtae Ahn
Publisher:
ISBN:
Category :
Languages : en
Pages : 378
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Book Description
Author: Sangtae Ahn
Publisher:
ISBN:
Category :
Languages : en
Pages : 378
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Book Description
Author: Yu-Jung Tsai
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
With the increased interest in potential clinical applications based on quantitative results, the aim of this study is to improve the quantitative consistency of the reconstructed images in emission tomography (ET). To achieve practical processing time, a fast convergent quasi-Newton algorithm, preconditioned limited-memory Broyden-Fletcher-Goldfarb-Shanno with boundary constraints (L-BFGS-B-PC), is firstly proposed. Its performance is eval- uated using both simulations and three patient datasets. Results show that L-BFGS-B-PC is able to achieve several times faster convergence rate than separable paraboloidal surrogates (SPS). Moreover, the performance is less sensitive to penalty type, penalty strength, noise level and background level, compared to L-BFGS-B. To be able to improve the image quality and quantitative consistency, an anatomical penalty function is then considered with a spatially-variant penalty strength. Based on results for simulations and data from one patient with inserted pseudo lesions, the spatially-variant penalty reduces the quantitative dependence on the surrounding activity and location. Moreover, it benefits the algorithm convergence rate and its consistency among datasets. It is important to consider potential misalignment between the functional and anatomical images. For this reason, two approaches that perform alternating pe- nalised image reconstruction and misalignment estimation are therefore proposed. Expanding on the previous work, L-BFGS-B-PC using Parallel Level Sets (PLS) with the spatially-variant penalty strength is used in both approaches. Preliminary results for non-time-of-flight (non-TOF) data simulations demonstrate that both methods are able to estimate the misalignment and deform the anatomical image accordingly when a proper workflow for the alternating optimisation is applied. By integrating algorithms proposed in this study, both good image quality and consistent quantification can be achieved in a practical processing time.
Author: Gabor T. Herman
Publisher: Springer Science & Business Media
ISBN: 1846287235
Category : Computers
Languages : en
Pages : 302
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Book Description
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.
Author: Hakan Erdoğan
Publisher:
ISBN:
Category :
Languages : en
Pages : 380
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Book Description
Author: Lin Fu
Publisher:
ISBN: 9781124025315
Category :
Languages : en
Pages :
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Book Description
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.
Author: Mehmet Yavuz
Publisher:
ISBN:
Category :
Languages : en
Pages : 410
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Book Description
Author: Troy Farncombe
Publisher: CRC Press
ISBN: 1351831755
Category : Science
Languages : en
Pages : 857
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Book Description
The book has two intentions. First, it assembles the latest research in the field of medical imaging technology in one place. Detailed descriptions of current state-of-the-art medical imaging systems (comprised of x-ray CT, MRI, ultrasound, and nuclear medicine) and data processing techniques are discussed. Information is provided that will give interested engineers and scientists a solid foundation from which to build with additional resources. Secondly, it exposes the reader to myriad applications that medical imaging technology has enabled.
Author: Dale L. Bailey
Publisher: Springer Science & Business Media
ISBN: 1846280079
Category : Medical
Languages : en
Pages : 381
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Book Description
Essential for students, science and medical graduates who want to understand the basic science of Positron Emission Tomography (PET), this book describes the physics, chemistry, technology and overview of the clinical uses behind the science of PET and the imaging techniques it uses. In recent years, PET has moved from high-end research imaging tool used by the highly specialized to an essential component of clinical evaluation in the clinic, especially in cancer management. Previously being the realm of scientists, this book explains PET instrumentation, radiochemistry, PET data acquisition and image formation, integration of structural and functional images, radiation dosimetry and protection, and applications in dedicated areas such as drug development, oncology, and gene expression imaging. The technologist, the science, engineering or chemistry graduate seeking further detailed information about PET, or the medical advanced trainee wishing to gain insight into the basic science of PET will find this book invaluable. This book is primarily repackaged content from the Basic Science section of the 'big' Valk book on PET. It contains new, completely revised and unchanged chapters covering the "basic sciences" section of the main book - total 18 chapters: 2 new (chapters 1, 16) 8 completely revised (chapters 4, 5, 8, 13, 14, 15, 17, 18) 3 minor corrections (chapters 2, 6, 11) 5 unchanged (chapters 3, 7, 9, 10, 12)
Author: Khairil Anwar Notodiputro
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 518
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Book Description
Author: Daniele Panetta
Publisher: CRC Press
ISBN: 100017588X
Category : Medical
Languages : en
Pages : 97
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Book Description
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.
