Download or read book Motion Estimation Methods for Respiratory Gated SPECT written by and published by . This book was released on 2014 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Comprehensive Biomedical Physics written by and published by Newnes. This book was released on 2014-07-25 with total page 4052 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive Biomedical Physics, Ten Volume Set is a new reference work that provides the first point of entry to the literature for all scientists interested in biomedical physics. It is of particularly use for graduate and postgraduate students in the areas of medical biophysics. This Work is indispensable to all serious readers in this interdisciplinary area where physics is applied in medicine and biology. Written by leading scientists who have evaluated and summarized the most important methods, principles, technologies and data within the field, Comprehensive Biomedical Physics is a vital addition to the reference libraries of those working within the areas of medical imaging, radiation sources, detectors, biology, safety and therapy, physiology, and pharmacology as well as in the treatment of different clinical conditions and bioinformatics. This Work will be valuable to students working in all aspect of medical biophysics, including medical imaging and biomedical radiation science and therapy, physiology, pharmacology and treatment of clinical conditions and bioinformatics. The most comprehensive work on biomedical physics ever published Covers one of the fastest growing areas in the physical sciences, including interdisciplinary areas ranging from advanced nuclear physics and quantum mechanics through mathematics to molecular biology and medicine Contains 1800 illustrations, all in full color
Download or read book Methods for Quantification and Respiratory Motion Management in SPECT Imaging written by James Sanders and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Perspectives on Nuclear Medicine for Molecular Diagnosis and Integrated Therapy written by Yuji Kuge and published by Springer. This book was released on 2016-04-02 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work is devoted to understanding the recent advances in nuclear medicine and molecular imaging technologies along with their application to integrated medical therapy and future drug development. This anthology is based on the international symposium in 2015 entitled “Perspective on Nuclear Medicine for Molecular Diagnosis and Integrated Therapy. “The symposium provided an opportunity to exchange ideas on how to promote nuclear medicine technology and how to extend the technology to medical therapy and drug development, and was also a good opportunity to discuss the future perspective of nuclear medicine and molecular imaging by worldwide leaders in the field. Molecular imaging technologies have been rapidly developed worldwide in recent years. Among those developments, nuclear medicine has come to play an important role in quantitative analysis of biological process in vivo as well as in wide clinical use. With the current progress of nuclear medicine and molecular imaging, this modality has been applied for treatment monitoring and predicting its outcome with the use of optimal imaging biomarkers and suitable quantitative analysis. Truly, a new era has arrived with clinical use of nuclear medicine and molecular imaging for personalized medicine. This volume will benefit a wide variety of researchers in life science including those working in drug development, molecular imaging, and medical therapy as well as physicians who utilize diagnostic imaging.
Download or read book Novel Techniques for Respiratory Motion Estimation and Modelling from Magnetic Resonance Data written by Christian Buerger and published by . This book was released on 2011 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Imaging such as Magnetic Resonance (MR) imaging and Positron Emission Tomography (PET) are commonly used in the diagnosis and treatment follow-up of cancer. Respiratory motion, however, introduces motion blurring and degrades image quality. As a solution, motion models have been proposed but remain challenging due to the following problems. First, common motion estimation algorithms are computationally complex (and consequently time-consuming) and often have poor robustness when large deformations are present. Second, due to technical limitations of current MR systems, prospective acquisitions are not capable of acquiring images with both high temporal and spatial resolution, which are required for accurate motion estimations. In this thesis, both challenges are addressed. A new registration algorithm has been developed which estimates complex non-rigid motion by a combination of multiple local affine components. This algorithm allows fast and accurate motion estimations and is robust against large deformations due to its adaptive hierarchical structure. Furthermore, a new reconstruction scheme has been developed which retrospectively combines raw data acquired from free-breathing acquisitions to reconstruct multiple images covering the complete range of the breathing cycle. This reconstruction method overcomes the spatial-temporal trade-off and produces near motion-free respiratory images with high isotropic resolution. Both methods are combined to model the continuous deformation of the abdomen during an average breathing cycle, with errors in model predictions of comparable magnitude to the image resolution. A modification of this work is used to allow highly efficient motion compensated reconstructions from short acquisitions under free-breathing.
Download or read book Novel Techniques for Respiratory Motion Estimation and Modeling from MR Data written by Christian Buerger and published by . This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Imaging such as Magnetic Resonance (MR) imaging and Positron Emission Tomography (PET) are commonly used in the diagnosis and treatment follow-up of cancer. Respiratory motion, however, introduces motion blurring and degrades image quality. As a solution, motion models have been proposed but remain challenging due to the following problems. First, common motion estimation algorithms are computationally complex (and consequently time-consuming) and often have poor robustness when large deformations are present. Second, due to technical limitations of current MR systems, prospective acquisitions are not capable of acquiring images with both high temporal and spatial resolution, which are required for accurate motion estimations. In this thesis, both challenges are addressed. A new registration algorithm has been developed which estimates complex non-rigid motion by a combination of multiple local affine components. This algorithm allows fast and accurate motion estimations and is robust against large deformations due to its adaptive hierarchical structure. Furthermore, a new reconstruction scheme has been developed which retrospectively combines raw data acquired from free-breathing acquisitions to reconstruct multiple images covering the complete range of the breathing cycle. This reconstruction method overcomes the spatial-temporal trade-off and produces near motion-free respiratory images with high isotropic resolution. Both methods are combined to model the continuous deformation of the abdomen during an average breathing cycle, with errors in model predictions of comparable magnitude to the image resolution. A modification of this work is used to allow highly efficient motion compensated reconstructions from short acquisitions under free-breathing.
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.
Download or read book Motion Correction in Thoracic Positron Emission Tomography written by Fabian Gigengack and published by Springer. This book was released on 2014-09-10 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: Respiratory and cardiac motion leads to image degradation in Positron Emission Tomography (PET), which impairs quantification. In this book, the authors present approaches to motion estimation and motion correction in thoracic PET. The approaches for motion estimation are based on dual gating and mass-preserving image registration (VAMPIRE) and mass-preserving optical flow (MPOF). With mass-preservation, image intensity modulations caused by highly non-rigid cardiac motion are accounted for. Within the image registration framework different data terms, different variants of regularization and parametric and non-parametric motion models are examined. Within the optical flow framework, different data terms and further non-quadratic penalization are also discussed. The approaches for motion correction particularly focus on pipelines in dual gated PET. A quantitative evaluation of the proposed approaches is performed on software phantom data with accompanied ground-truth motion information. Further, clinical applicability is shown on patient data. The book concludes with an outlook of recent developments and potential future advances in the field of PET motion correction.
Download or read book Variational Methods for Combined Image and Motion Estimation written by and published by . This book was released on 2015 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Cardiovascular engineering written by Christopher T. Nguyen and published by Frontiers Media SA. This book was released on 2022-12-16 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Comparison and visualization of two dimensional motion estimation methods written by Miriam León Cristóbal and published by . This book was released on 1999 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Scale Space and Variational Methods in Computer Vision written by Jan Lellmann and published by Springer. This book was released on 2019-06-21 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 7th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2019, held in Hofgeismar, Germany, in June/July 2019. The 44 papers included in this volume were carefully reviewed and selected for inclusion in this book. They were organized in topical sections named: 3D vision and feature analysis; inpainting, interpolation and compression; inverse problems in imaging; optimization methods in imaging; PDEs and level-set methods; registration and reconstruction; scale-space methods; segmentation and labeling; and variational methods.
Download or read book Principles and Practice of Image Guided Radiation Therapy of Lung Cancer written by Jing Cai and published by CRC Press. This book was released on 2017-09-18 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives a comprehensive overview on the use of image-guided radiation therapy (IGRT) in the treatment of lung cancer, covering step-by-step guidelines for clinical implementations, fundamental principles and key technical advances. It covers benefits and limitations of techniques as well as quality and safety issues related to IGRT practice. Addresses imaging simulation, treatment planning, verification, and delivery Discusses important quality assurance issues Describes current methods using specialized machines and technologies Jing Cai, PhD, is an Associate Professor of Radiation Oncology at Duke University Medical Center. Joe Y. Chang, MD, PhD, is Professor in the Department of Radiation Oncology at The University of Texas MD Anderson Cancer Center in Houston. Fang-Fang Yin, PhD, is Chief of the Division of Radiation Physics, Professor of Radiation Oncology, and Director of the Medical Physics program at Duke University.
Download or read book Sampling Based Methods for Robust Motion Estimation and Image Based Localization written by Wei Zhang and published by . This book was released on 2006 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: In general, there are two solutions to this problem. The Global Positioning System (CPS) can be used which gives the absolute position information. Alternatively, the local coordinates with respect to some chosen locations/landmarks can be obtained using image based localization.
Download or read book Image Motion Estimation and Compensation written by Yan Huang and published by . This book was released on 1995 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Machine Learning for Medical Image Reconstruction written by Florian Knoll and published by Springer Nature. This book was released on 2019-10-24 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 24 full papers presented were carefully reviewed and selected from 32 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging; deep learning for computed tomography; and deep learning for general image reconstruction.
Download or read book Motion Correction in Thoracic Positron Emission Tomography written by Fabian Gigengack and published by Springer. This book was released on 2014-10-08 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: Respiratory and cardiac motion leads to image degradation in Positron Emission Tomography (PET), which impairs quantification. In this book, the authors present approaches to motion estimation and motion correction in thoracic PET. The approaches for motion estimation are based on dual gating and mass-preserving image registration (VAMPIRE) and mass-preserving optical flow (MPOF). With mass-preservation, image intensity modulations caused by highly non-rigid cardiac motion are accounted for. Within the image registration framework different data terms, different variants of regularization and parametric and non-parametric motion models are examined. Within the optical flow framework, different data terms and further non-quadratic penalization are also discussed. The approaches for motion correction particularly focus on pipelines in dual gated PET. A quantitative evaluation of the proposed approaches is performed on software phantom data with accompanied ground-truth motion information. Further, clinical applicability is shown on patient data. The book concludes with an outlook of recent developments and potential future advances in the field of PET motion correction.
