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Image-based Computational Approaches for Personalized Cardiovascular Medicine: Improving Clinical Applicability and Reliability through Medical Imaging and Experimental Data

2023-07-13 Science
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Release : 2023-07-13
Genre : Science
Kind : eBook
Book Rating : 577/5 ( reviews)

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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. This book was released on 2023-07-13. Available in PDF, EPUB and Kindle. Book excerpt:

Towards Personalized Models of the Cardiovascular System Using 4D Flow MRI

2019-02-15
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Release : 2019-02-15
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Kind : eBook
Book Rating : 172/5 ( reviews)

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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. This book was released on 2019-02-15. 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.

Artificial Intelligence for Computational Modeling of the Heart

2019-12 Science
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Release : 2019-12
Genre : Science
Kind : eBook
Book Rating : 94X/5 ( reviews)

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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. This book was released on 2019-12. 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

Hybrid Imaging in Cardiovascular Medicine

2017-10-31 Medical
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Release : 2017-10-31
Genre : Medical
Kind : eBook
Book Rating : 465/5 ( reviews)

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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. This book was released on 2017-10-31. 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.

Cardiovascular Imaging

2012-12-06 Medical
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Release : 2012-12-06
Genre : Medical
Kind : eBook
Book Rating : 913/5 ( reviews)

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Book Synopsis Cardiovascular Imaging by : Johan H. C. Reiber

Download or read book Cardiovascular Imaging written by Johan H. C. Reiber. This book was released on 2012-12-06. 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.

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