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Image Based Computational Approaches For Personalized Cardiovascular Medicine Improving Clinical Applicability And Reliability Through Medical Imaging And Experimental Data
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Book Synopsis Image-based Computational Approaches for Personalized Cardiovascular Medicine: Improving Clinical Applicability and Reliability through Medical Imaging and Experimental Data by : Selene Pirola
Download or read book Image-based Computational Approaches for Personalized Cardiovascular Medicine: Improving Clinical Applicability and Reliability through Medical Imaging and Experimental Data written by Selene Pirola and published by Frontiers Media SA. This book was released on 2023-07-13 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Towards Personalized Models of the Cardiovascular System Using 4D Flow MRI by : Belén Casas Garcia
Download or read book Towards Personalized Models of the Cardiovascular System Using 4D Flow MRI written by Belén Casas Garcia and published by Linköping University Electronic Press. This book was released on 2019-02-15 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: Current diagnostic tools for assessing cardiovascular disease mostly focus on measuring a given biomarker at a specific spatial location where an abnormality is suspected. However, as a result of the dynamic and complex nature of the cardiovascular system, the analysis of isolated biomarkers is generally not sufficient to characterize the pathological mechanisms behind a disease. Model-based approaches that integrate the mechanisms through which different components interact, and present possibilities for system-level analyses, give us a better picture of a patient’s overall health status. One of the main goals of cardiovascular modelling is the development of personalized models based on clinical measurements. Recent years have seen remarkable advances in medical imaging and the use of personalized models is slowly becoming a reality. Modern imaging techniques can provide an unprecedented amount of anatomical and functional information about the heart and vessels. In this context, three-dimensional, three-directional, cine phase-contrast (PC) magnetic resonance imaging (MRI), commonly referred to as 4D Flow MRI, arises as a powerful tool for creating personalized models. 4D Flow MRI enables the measurement of time-resolved velocity information with volumetric coverage. Besides providing a rich dataset within a single acquisition, the technique permits retrospective analysis of the data at any location within the acquired volume. This thesis focuses on improving subject-specific assessment of cardiovascular function through model-based analysis of 4D Flow MRI data. By using computational models, we aimed to provide mechanistic explanations of the underlying physiological processes, derive novel or improved hemodynamic markers, and estimate quantities that typically require invasive measurements. Paper I presents an evaluation of current markers of stenosis severity using advanced models to simulate flow through a stenosis. Paper II presents a framework to personalize a reduced-order, mechanistic model of the cardiovascular system using exclusively non-invasive measurements, including 4D Flow MRI data. The modelling approach can unravel a number of clinically relevant parameters from the input data, including those representing the contraction and relaxation patterns of the left ventricle, and provide estimations of the pressure-volume loop. In Paper III, this framework is applied to study cardiovascular function at rest and during stress conditions, and the capability of the model to infer load-independent measures of heart function based on the imaging data is demonstrated. Paper IV focuses on evaluating the reliability of the model parameters as a step towards translation of the model to the clinic.
Book Synopsis Artificial Intelligence for Computational Modeling of the Heart by : Tommaso Mansi
Download or read book Artificial Intelligence for Computational Modeling of the Heart written by Tommaso Mansi and published by Academic Press. This book was released on 2019-12 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence for Computational Modeling of the Heart presents recent research developments towards streamlined and automatic estimation of the digital twin of a patient's heart by combining computational modeling of heart physiology and artificial intelligence. The book first introduces the major aspects of multi-scale modeling of the heart, along with the compromises needed to achieve subject-specific simulations. Reader will then learn how AI technologies can unlock robust estimations of cardiac anatomy, obtain meta-models for real-time biophysical computations, and estimate model parameters from routine clinical data. Concepts are all illustrated through concrete clinical applications. Presents recent advances in computational modeling of heart function and artificial intelligence technologies for subject-specific applications Discusses AI-based technologies for robust anatomical modeling from medical images, data-driven reduction of multi-scale cardiac models, and estimations of physiological parameters from clinical data Illustrates the technology through concrete clinical applications and discusses potential impacts and next steps needed for clinical translation
Book Synopsis Hybrid Imaging in Cardiovascular Medicine by : Yi-Hwa Liu
Download or read book Hybrid Imaging in Cardiovascular Medicine written by Yi-Hwa Liu and published by CRC Press. This book was released on 2017-10-31 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive book focuses on multimodality imaging technology, including overviews of the instruments and methods followed by practical case studies that highlight use in the detection and treatment of cardiovascular diseases. Chapters cover PET-CT, SPECT-CT, SPECT-MRI, PET-MRI, PET-optical imaging, SPECT-optical imaging, photoacoustic Imaging, and hybrid intravascular imaging. It also addresses the important issues of multimodality imaging probes and image quantification. Readers from radiology and cardiology as well as medical imaging and biomedical engineering will learn essentials of the field. They will be shown how the field has advanced quantitative analysis of molecularly targeted imaging through improvements in the reliability and reproducibility of imaging data. Moreover, they will be presented with quantification algorithms and case illustrations, including coverage of such topics such as multimodality image fusion and kinetic modeling. Yi-Hwa Liu, PhD is Senior Research Scientist in Cardiovascular Medicine at Yale University School of Medicine and Technical Director of Nuclear Cardiology at Yale New Haven Hospital. He is also an Associate Professor (Adjunct) of Biomedical Imaging and Radiological Sciences at National Yang-Ming University, Taipei, Taiwan, and Professor (Adjunct) of Biomedical Engineering at Chung Yuan Christian University, Taoyuan, Taiwan. He is an elected senior member of Institute of Electrical and Electronic Engineers (IEEE) and a full member of Sigma Xi of The Scientific Research Society of North America. Albert J. Sinusas, M.D., FACC, FAHA is Professor of Medicine (Section of Cardiovascular Medicine) and Radiology and Biomedical Imaging, at Yale University School of Medicine, and Director of the Yale Translational Research Imaging Center (Y-TRIC), and Director of Advanced Cardiovascular Imaging at Yale New Haven Hospital. He is a recipient of the Society of Nuclear Medicine’s Hermann Blumgart Award.
Book Synopsis Cardiovascular Imaging by : Johan H. C. Reiber
Download or read book Cardiovascular Imaging written by Johan H. C. Reiber and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past, coronary arteriography was the only modality available to provide high quality images of the coronary anatomy. Quantitative coronary arteriography (QCA) was developed, implemented, validated and extensively applied to obtain accurate and reproducible data about coronary morphology and the functional significance of coronary obstructions. Over the last few years extensive basic technological research supported by clinical investigations has created competing modalities to visualize coronary morphology and the associated perfusion of the myocardial muscle. Currently, the following modalities are available: X-ray coronary arteriography, intracoronary ultrasound, contrast- and stress-echocardiography, angioscopy, nuclear cardiology, magnetic resonance imaging, and cine and spiral CT imaging. For all these imaging modalities, the application of dedicated quantitative analytical software packages enables the evaluation of the imaging studies in a more accurate, reliable, and reproducible manner. These extensions and achievements have resulted in improved diagnostics and subsequently in improved patient care. Particularly in patients with ischaemic heart disease, major progress has been made to detect coronary artery disease in an early phase of the disease process, to follow the atherosclerotic changes in the coronary arteries, to establish the functional and metabolic consequences of the luminal obstructions, and accurately to assess the results of interventional therapy. Aside from all these high-tech developments in cardiac imaging techniques, the transition from the analogue to the digital world has been going on for some time now. For the future, it has been predicted that the CD-R will be the exchange medium for cardiac images and DICOM-3 the standard file format. This has been a major achievement in the field of standardization activities. Since these developments will have a major impact on the way images will be stored, reviewed and exchanged in the near future, an important part of this book has been dedicated to DICOM and the filmless catheterization laboratory. Cardiovascular Imaging will assist cardiologists, radiologists, nuclear medicine physicians, image processing specialists, physicists, basic scientists, and fellows in training for these specialties to understand the most recent achievements in cardiac imaging techniques and their impact on cardiovascular medicine.
Book Synopsis Personalized Health Systems for Cardiovascular Disease by : Anna Maria Bianchi
Download or read book Personalized Health Systems for Cardiovascular Disease written by Anna Maria Bianchi and published by Academic Press. This book was released on 2022-01-21 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Personalized Health Systems for Cardiovascular Disease is intended for researchers, developers, and designers in the field of p-health, with a specific focus on management of cardiovascular diseases. Biomedical engineers will benefit from coverage of sensors, data transmission, signal processing, data analysis, home and mobile applications, standards, and all other subject matters developed in this book in order to provide an integrated view of the different and multidisciplinary problems related to p-health systems. However, many chapters will also be interesting to physicians and other professionals who operate in the health domain. Students, MS and PhD level, mainly in technical universities, but also in medical schools, will find in this book a complete view of the manifold aspects of p-health, including technical problems related to sensors and software, to automatic evaluation and correct interpretation of the data, and also some legal and regulatory aspects. This book mainly focuses on the development of technology used by people and patients in the management of their own health. New wearable and implantable devices allow a continuous monitoring of chronic patients, with a direct involvement of clinical centers and physicians. Also, healthy people are more and more interested in keeping their own wellness under control, by adopting healthy lifestyles and identifying any early sign of risk. This is leading to personalized solutions via systems which are tailored to a specific patient/person and her/ his needs. However, many problems are still open when it comes to p-health systems. Which sensors and parameters should be used? Which software and analysis? When and how? How do you design an effective management plan for chronic pathologies such as cardiovascular diseases? What is useful feedback for the patient or for the clinician? And finally, what are the limits of this approach? What is the view of physicians? The purpose of this book is to provide, from a technical point of view, a complete description of most of the elements which are part of such systems, including the sensors and the hardware, the signal processing and data management procedures, the classification and stratification models, the standards and the regulations, focusing on the state of the art and identifying the new directions for innovative solutions. In this book, readers will find the fundamental elements that must be taken into account when developing devices and systems in the field of p-health. - Provides an integrated approach to design and development of p-health systems which involves sensors, analysis software, user interfaces, data modeling, and interpretation. - Covers standards and regulations on data privacy and security, plus safe design of devices. - Supported by case studies discussing development of actual solutions in the biomedical engineering field.
Book Synopsis Patient-Specific Modeling of the Cardiovascular System by : Roy C.P. Kerckhoffs
Download or read book Patient-Specific Modeling of the Cardiovascular System written by Roy C.P. Kerckhoffs and published by Springer Science & Business Media. This book was released on 2010-09-03 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: Peter Hunter Computational physiology for the cardiovascular system is entering a new and exciting phase of clinical application. Biophysically based models of the human heart and circulation, based on patient-specific anatomy but also informed by po- lation atlases and incorporating a great deal of mechanistic understanding at the cell, tissue, and organ levels, offer the prospect of evidence-based diagnosis and treatment of cardiovascular disease. The clinical value of patient-specific modeling is well illustrated in application areas where model-based interpretation of clinical images allows a more precise analysis of disease processes than can otherwise be achieved. For example, Chap. 6 in this volume, by Speelman et al. , deals with the very difficult problem of trying to predict whether and when an abdominal aortic aneurysm might burst. This requires automated segmentation of the vascular geometry from magnetic re- nance images and finite element analysis of wall stress using large deformation elasticity theory applied to the geometric model created from the segmentation. The time-varying normal and shear stress acting on the arterial wall is estimated from the arterial pressure and flow distributions. Thrombus formation is identified as a potentially important contributor to changed material properties of the arterial wall. Understanding how the wall adapts and remodels its material properties in the face of changes in both the stress loading and blood constituents associated with infl- matory processes (IL6, CRP, MMPs, etc.
Book Synopsis What’s New in Cardiovascular Imaging? by : Johan H. C. Reiber
Download or read book What’s New in Cardiovascular Imaging? written by Johan H. C. Reiber and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: What's New in Cardiovascular Imaging is a bibliographical "image" of a Symposium held June 22-24, 1998 in Leiden, the Netherlands. At this Symposium all the major advances in car diovascular imaging in all the cardiovascular imaging modalities (X-ray, (intravascular) ultra sound, magnetic resonance, scintigraphy and CT) were addressed by the leading authorities in this field. Based on the presentations of the invited Faculty, this book consists of a compi lation of manuscripts related to most of the topics discussed at this particular meeting. We express our gratitude to all authors and coauthors for having made great efforts in preparing their superb up-to-date chapters under a great time pressure, so that this book was available at the time of the Symposium. The authors are all excellent investigators in one or more fields of cardiovascular imaging and they have stimulated progress in cardiovascular imaging with the aim to improve patient care and clinical research. This book consists of a total of 32 chapters subdivided into seven Parts. Each part describes a particular field in cardiovascular imaging. These Parts are: Coronary quantitation by QCA and intracoronary ultrasound (QCU), angiographic trials, progress in intravascular ultrasound, magnetic resonance (MR) coronary and vascular imaging, nuclear cardiovascular imaging, echocardiography, and cine and spiral CT coronary imaging. In general, each Part begins with a chapter that provides a broad overview of the advances in the field described in that particular Part, as well as a view towards the future.
Book Synopsis Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges by : Esther Puyol Anton
Download or read book Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges written by Esther Puyol Anton and published by Springer Nature. This book was released on 2021-01-28 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 11th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2020, as well as two challenges: M&Ms - The Multi-Centre, Multi-Vendor, Multi-Disease Segmentation Challenge, and EMIDEC - Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI Challenge. The 43 full papers included in this volume were carefully reviewed and selected from 70 submissions. They deal with cardiac imaging and image processing, machine learning applied to cardiac imaging and image analysis, atlas construction, artificial intelligence, statistical modelling of cardiac function across different patient populations, cardiac computational physiology, model customization, atlas based functional analysis, ontological schemata for data and results, integrated functional and structural analyses, as well as the pre-clinical and clinical applicability of these methods.
Book Synopsis Cardiovascular Computing—Methodologies and Clinical Applications by : Spyretta Golemati
Download or read book Cardiovascular Computing—Methodologies and Clinical Applications written by Spyretta Golemati and published by Springer. This book was released on 2019-02-12 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive guide to the state-of-the-art in cardiovascular computing and highlights novel directions and challenges in this constantly evolving multidisciplinary field. The topics covered span a wide range of methods and clinical applications of cardiovascular computing, including advanced technologies for the acquisition and analysis of signals and images, cardiovascular informatics, and mathematical and computational modeling.
Author :S. Kamaledin Setarehdan Publisher :Springer Science & Business Media ISBN 13 :0857293338 Total Pages :661 pages Book Rating :4.8/5 (572 download)
Book Synopsis Advanced Algorithmic Approaches to Medical Image Segmentation by : S. Kamaledin Setarehdan
Download or read book Advanced Algorithmic Approaches to Medical Image Segmentation written by S. Kamaledin Setarehdan and published by Springer Science & Business Media. This book was released on 2012-09-07 with total page 661 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical imaging is an important topic and plays a key role in robust diagnosis and patient care. It has experienced an explosive growth over the last few years due to imaging modalities such as X-rays, computed tomography (CT), magnetic resonance (MR) imaging, and ultrasound. This book focuses primarily on model-based segmentation techniques, which are applied to cardiac, brain, breast and microscopic cancer cell imaging. It includes contributions from authors working in industry and academia, and presents new material.
Book Synopsis Medical Imaging Systems Techniques and Applications: Cardiovascular systems by : Cornelius T. Leondes
Download or read book Medical Imaging Systems Techniques and Applications: Cardiovascular systems written by Cornelius T. Leondes and published by Taylor & Francis. This book was released on 1997 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: First Published in 2004. Routledge is an imprint of Taylor & Francis, an informa company.
Book Synopsis Systems Biology and Data-Driven Machine Learning-Based Models in Personalized Cardiovascular Medicine by : Miguel Hueso
Download or read book Systems Biology and Data-Driven Machine Learning-Based Models in Personalized Cardiovascular Medicine written by Miguel Hueso and published by Frontiers Media SA. This book was released on 2023-11-15 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge by : Esther Puyol Antón
Download or read book Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge written by Esther Puyol Antón and published by Springer Nature. This book was released on 2022-01-14 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 12th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2021, as well as the M&Ms-2 Challenge: Multi-Disease, Multi-View and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge. The 25 regular workshop papers included in this volume were carefully reviewed and selected after being revised. They deal with cardiac imaging and image processing, machine learning applied to cardiac imaging and image analysis, atlas construction, artificial intelligence, statistical modelling of cardiac function across different patient populations, cardiac computational physiology, model customization, atlas based functional analysis, ontological schemata for data and results, integrated functional and structural analyses, as well as the pre-clinical and clinical applicability of these methods. In addition, 15 papers from the M&MS-2 challenge are included in this volume. The Multi-Disease, Multi-View & Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge (M&Ms-2) is focusing on the development of generalizable deep learning models for the Right Ventricle that can maintain good segmentation accuracy on different centers, pathologies and cardiac MRI views. There was a total of 48 submissions to the workshop.
Book Synopsis Image-Based Computational Modeling of the Human Circulatory and Pulmonary Systems by : Krishnan B. Chandran
Download or read book Image-Based Computational Modeling of the Human Circulatory and Pulmonary Systems written by Krishnan B. Chandran and published by Springer Science & Business Media. This book was released on 2010-11-18 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image-Based Computational Modeling of the Human Circulatory and Pulmonary Systems provides an overview of the current modeling methods and applications enhancing interventional treatments and computer-aided surgery. A detailed description of the techniques behind image acquisition, processing and three-dimensional reconstruction are included. Techniques for the computational simulation of solid and fluid mechanics and structure interaction are also discussed, in addition to various cardiovascular and pulmonary applications. Engineers and researchers involved with image processing and computational modeling of human organ systems will find this a valuable reference.
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 2023-11-23 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 Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges by : Tommaso Mansi
Download or read book Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges written by Tommaso Mansi and published by Springer. This book was released on 2017-01-22 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of the 7th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges. 7th International Workshop, STACOM 2016, Held in conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected papers The 24 revised full workshop papers were carefully reviewed and selected from 32 submissions. The papers cover a wide range of topics such as cardiac image processing; atlas construction, statistical modelling of cardiac function across different patient populations; cardiac mapping, cardiac computational physiology; model customization; image-based modelling and image-guided interventional procedures; atlas based functional analysis, ontological schemata for data and results; integrated functional and structural analyses; pre-clinical and clinical applicability of the methods described.
