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Registration Methods For Pulmonary Image Analysis
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Author :Alexander Schmidt-Richberg Publisher :Springer Science & Business Media ISBN 13 :3658016620 Total Pages :179 pages Book Rating :4.6/5 (58 download)
Book Synopsis Registration Methods for Pulmonary Image Analysis by : Alexander Schmidt-Richberg
Download or read book Registration Methods for Pulmonary Image Analysis written by Alexander Schmidt-Richberg and published by Springer Science & Business Media. This book was released on 2014-01-28 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: Various applications in the field of pulmonary image analysis require a registration of CT images of the lung. For example, a registration-based estimation of the breathing motion is employed to increase the accuracy of dose distribution in radiotherapy. Alexander Schmidt-Richberg develops methods to explicitly model morphological and physiological knowledge about respiration in algorithms for the registration of thoracic CT images. The author focusses on two lung-specific issues: on the one hand, the alignment of the interlobular fissures and on the other hand, the estimation of sliding motion at the lung boundaries. He shows that by explicitly considering these aspects based on a segmentation of the respective structure, registration accuracy can be significantly improved.
Book Synopsis Integration of Morphological and Physiological Knowledge Into Registration Methods for Pulmonary Image Analysis by :
Download or read book Integration of Morphological and Physiological Knowledge Into Registration Methods for Pulmonary Image Analysis written by and published by . This book was released on 2012 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Lung Imaging and Computer Aided Diagnosis by : Ayman El-Baz
Download or read book Lung Imaging and Computer Aided Diagnosis written by Ayman El-Baz and published by CRC Press. This book was released on 2011-08-23 with total page 483 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lung cancer remains the leading cause of cancer-related deaths worldwide. Early diagnosis can improve the effectiveness of treatment and increase a patient’s chances of survival. Thus, there is an urgent need for new technology to diagnose small, malignant lung nodules early as well as large nodules located away from large diameter airways because the current technology—namely, needle biopsy and bronchoscopy—fail to diagnose those cases. However, the analysis of small, indeterminate lung masses is fraught with many technical difficulties. Often patients must be followed for years with serial CT scans in order to establish a diagnosis, but inter-scan variability, slice selection artifacts, differences in degree of inspiration, and scan angles can make comparing serial scans unreliable. Lung Imaging and Computer Aided Diagnosis brings together researchers in pulmonary image analysis to present state-of-the-art image processing techniques for detecting and diagnosing lung cancer at an early stage. The book addresses variables and discrepancies in scans and proposes ways of evaluating small lung masses more consistently to allow for more accurate measurement of growth rates and analysis of shape and appearance of the detected lung nodules. Dealing with all aspects of image analysis of the data, this book examines: Lung segmentation Nodule segmentation Vessels segmentation Airways segmentation Lung registration Detection of lung nodules Diagnosis of detected lung nodules Shape and appearance analysis of lung nodules Contributors also explore the effective use of these methodologies for diagnosis and therapy in clinical applications. Arguably the first book of its kind to address and evaluate image-based diagnostic approaches for the early diagnosis of lung cancer, Lung Imaging and Computer Aided Diagnosis constitutes a valuable resource for biomedical engineers, researchers, and clinicians in lung disease imaging.
Book Synopsis Deformable Lung Registration for Pulmonary Image Analysis of MRI and CT Scans by : Mattias Paul Heinrich
Download or read book Deformable Lung Registration for Pulmonary Image Analysis of MRI and CT Scans written by Mattias Paul Heinrich and published by . This book was released on 2013 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Medical Image Registration by : Joseph V. Hajnal
Download or read book Medical Image Registration written by Joseph V. Hajnal and published by CRC Press. This book was released on 2001-06-27 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image registration is the process of systematically placing separate images in a common frame of reference so that the information they contain can be optimally integrated or compared. This is becoming the central tool for image analysis, understanding, and visualization in both medical and scientific applications. Medical Image Registration provid
Book Synopsis Pulmonary Functional Imaging by : Yoshiharu Ohno
Download or read book Pulmonary Functional Imaging written by Yoshiharu Ohno and published by Springer Nature. This book was released on 2020-12-11 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the basics of pulmonary functional imaging using new CT and MR techniques and describes the clinical applications of these techniques in detail. The intention is to equip readers with a full understanding of pulmonary functional imaging that will allow optimal application of all relevant techniques in the assessment of a variety of diseases, including COPD, asthma, cystic fibrosis, pulmonary thromboembolism, pulmonary hypertension, lung cancer and pulmonary nodule. Pulmonary functional imaging has been promoted as a research and diagnostic tool that has the capability to overcome the limitations of morphological assessments as well as functional evaluation based on traditional nuclear medicine studies. The recent advances in CT and MRI and in medical image processing and analysis have given further impetus to pulmonary functional imaging and provide the basis for future expansion of its use in clinical applications. In documenting the utility of state-of-the-art pulmonary functional imaging in diagnostic radiology and pulmonary medicine, this book will be of high value for chest radiologists, pulmonologists, pulmonary surgeons, and radiation technologists.
Book Synopsis The First International Workshop on Pulmonary Image Analysis by :
Download or read book The First International Workshop on Pulmonary Image Analysis written by and published by Lulu.com. This book was released on 2008 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the First International Workshop on Pulmonary Image Analysis, held on September 6, 2008 in New York as part of the MICCAI workshop program.
Book Synopsis Image Registration and Computational Modeling of the Lung by : William J. Mullally
Download or read book Image Registration and Computational Modeling of the Lung written by William J. Mullally and published by . This book was released on 2009 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: This thesis arises out of the study of lung physiology and the development of new techniques to help analyze the complex and prodigious amount data which modem medical imaging can provide. This document describes work in two major directions. The first is an investigation into which airways in the human airway tree contribute to the decrease in lung function in asthmatics. This works pulls together a number of well understood methods in image analysis and image registration with image data on ventilation defects and methods for building computation models of the human airway tree. We show how to incorporate ventilation defects observed in image data into subject specific models of the human airway tree. Our study indicates that ventilation defects may be caused by closures of larger airways than previously reported. Our second effort has been to advance the field of image registration to solve image alignment problems presented in the study of acute respiratory distress syndrome (ARDS). This has led us to develop two novel image registration techniques: an approach for cost-switching in non-rigid image registration and an approach to image registration using classifiers learned from example images. Our cost-switching approach has led to the first accurate semi-automatic non-rigid registration of images of healthy lungs to those of lungs after the onset of ARDS. Our example-based approach uses multiple classifiers to achieve rigid registration when image appearance has changed dramatically and non-uniformly. We show a significant increase in registration accuracy in comparison to an approach using mutual information.
Book Synopsis Lung Imaging and Computer Aided Diagnosis by : Ayman El-Baz
Download or read book Lung Imaging and Computer Aided Diagnosis written by Ayman El-Baz and published by CRC Press. This book was released on 2016-04-19 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lung cancer remains the leading cause of cancer-related deaths worldwide. Early diagnosis can improve the effectiveness of treatment and increase a patient's chances of survival. Thus, there is an urgent need for new technology to diagnose small, malignant lung nodules early as well as large nodules located away from large diameter airways because
Book Synopsis Thoracic Image Analysis by : Jens Petersen
Download or read book Thoracic Image Analysis written by Jens Petersen and published by Springer Nature. This book was released on 2020-11-03 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Second International Workshop on Thoracic Image Analysis, TIA 2020, held in Lima, Peru, in October 2020. Due to COVID-19 pandemic the conference was held virtually. COVID-19 infection has brought a lot of attention to lung imaging and the role of CT imaging in the diagnostic workflow of COVID-19 suspects is an important topic. The 14 full papers presented deal with all aspects of image analysis of thoracic data, including: image acquisition and reconstruction, segmentation, registration, quantification, visualization, validation, population-based modeling, biophysical modeling (computational anatomy), deep learning, image analysis in small animals, outcome-based research and novel infectious disease applications.
Book Synopsis Matrix-free Techniques for Efficient Image Registration and Their Application to Pulmonary Image Analysis by : Jan Rune Rühaak
Download or read book Matrix-free Techniques for Efficient Image Registration and Their Application to Pulmonary Image Analysis written by Jan Rune Rühaak and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Numerical Methods for Image Registration by : Jan Modersitzki
Download or read book Numerical Methods for Image Registration written by Jan Modersitzki and published by OUP Oxford. This book was released on 2003-12-04 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on the author's lecture notes and research, this well-illustrated and comprehensive text is one of the first to provide an introduction to image registration with particular emphasis on numerical methods in medical imaging. Ideal for researchers in industry and academia, it is also a suitable study guide for graduate mathematicians, computer scientists, engineers, medical physicists, and radiologists. Image registration is utilised whenever information obtained from different viewpoints needs to be combined or compared and unwanted distortion needs to be eliminated. For example, CCTV images, ultrasound images, brain scan images, fingerprint and retinal scanning. Modersitzki's book provides a systematic introduction to the theoretical, practical, and numerical aspects of image registration, with special emphasis on medical applications. Various techniques are described, discussed and compared using numerous illustrations. The text starts with an introduction to the mathematical principles and the motivating example of the Human Neuroscanning Project whose aim is to build an atlas of the human brain through reconstructing essential information out of deformed images of sections of a prepared brain. The introduction is followed by coverage of parametric image registrations such as landmark based, principal axes based, and optimal affine linear registration. Basic distance measures like sum of squared differences, correlation, and mutual information are also discussed. The next section is devoted to state-of-the-art non-parametric image registrations where general variational based framework for image registration is presented and used to describe and compare well-known and new image registration techniques. Finally, efficient numerical schemes for the underlying partial differential equations are presented and discussed. This text treats the basic mathematical principles, including aspects from approximation theory, image processing, numerics, partial differential equations, and statistics, with a strong focus on numerical methods in image processing. Providing a systematic and general framework for image registration, the book not only presents state-of-the-art concepts but also summarises and classifies the numerous techniques to be found in the literature.
Book Synopsis Deep Learning for Medical Image Analysis by : S. Kevin Zhou
Download or read book Deep Learning for Medical Image Analysis written by S. Kevin Zhou and published by Academic Press. This book was released on 2023-12-01 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Deep learning provides exciting solutions for medical image analysis problems and is a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component are applied to medical image detection, segmentation, registration, and computer-aided analysis. · Covers common research problems in medical image analysis and their challenges · Describes the latest deep learning methods and the theories behind approaches for medical image analysis · Teaches how algorithms are applied to a broad range of application areas including cardiac, neural and functional, colonoscopy, OCTA applications and model assessment · Includes a Foreword written by Nicholas Ayache
Book Synopsis Quantitative Regional Assessment of Pulmonary Parenchymal Dynamics Using Image Registration and Analysis Techniques by : Tessa A. Sundaram
Download or read book Quantitative Regional Assessment of Pulmonary Parenchymal Dynamics Using Image Registration and Analysis Techniques written by Tessa A. Sundaram and published by . This book was released on 2007 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: The lung is a highly elastic organ, composed of an intricate network of blood vessels and airways that terminate in alveoli---the site of gas exchange. Normal alveolar walls are extremely thin and highly compliant, allowing the lung to deform easily as air passes through. Various pathological processes interfere with the normal respiratory deformation of the lung, either by disrupting the alveolar architecture or affecting the resistance and makeup of the airways. Characterization of normal lung motion patterns seeks to further the understanding of the changes brought about by these diseases.
Book Synopsis Quantification of Brain Function Using PET by :
Download or read book Quantification of Brain Function Using PET written by and published by Elsevier. This book was released on 1996-07-17 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Functional imaging of the brain is one of the most rapidly advancing areas of neuroscience and Positron Emission Tomography (PET) plays a major role in this progress. This book provides a comprehensive overview of the current status of PET and state-of-the-art neuroimaging. It is comprised of summaries of the presentations by experts in the field. Topics covered include radiotracer selection, advances in instrumentation, image reconstruction and data analysis, and statistical mapping of brain activity. This book focuses on the accuracy of the functional image and the strategies for addressing clinical, scientific, and diagnostic questions. Covers the PET imaging process from tracer selection to analysis and interpretation Contains 79 concise reports with abundant illustrations The definitive state-of-the-art book for functional neuroscience with PET
Book Synopsis Biomedical Image Registration by : Benoit Dawant
Download or read book Biomedical Image Registration written by Benoit Dawant and published by Springer. This book was released on 2012-06-24 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Workshop on Biomedical Image Registration, WBIR 2012, held in Nashville, Tennessee, USA, in July 2012. The 20 full papers and 11 poster papers included in this volume were carefully reviewed and selected from 44 submitted papers. They full papers are organized in the following topical sections: multiple image sets; brain; non-rigid anatomy; and frameworks and similarity measures.
Book Synopsis Progress in Pattern Recognition, Image Analysis and Applications by : Alberto Sanfeliu
Download or read book Progress in Pattern Recognition, Image Analysis and Applications written by Alberto Sanfeliu and published by Springer Science & Business Media. This book was released on 2005-11-04 with total page 1114 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th Iberoamerican Congress on Pattern Recognition, CIARP 2005, held in Havana, Cuba in November 2005. The 107 revised full papers presented together with 3 keynote articles were carefully reviewed and selected from more than 200 submissions. The papers cover ongoing research and mathematical methods for pattern recognition, image analysis, and applications in such diverse areas as computer vision, robotics, industry, health, entertainment, space exploration, telecommunications, data mining, document analysis, and natural language processing and recognition.
