Overview
Provides knowledge on the personalization of hemodynamic computations in cardiac diseases
Presents innovative results of interest to researchers, clinicians and industrial players alike
Shows high performance computing solutions, suitable for routine clinical workflows
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Table of contents (7 chapters)
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Front Matter
Keywords
About this book
Hemodynamic computations represent a state-of-the-art approach for patient-specific assessment of cardiovascular pathologies. The book presents the development of reduced-order multiscale hemodynamic models for coronary artery disease, aortic coarctation and whole body circulation, which can be applied in routine clinical settings for personalized diagnosis. Specific parameter estimation frameworks are introduced for calibrating the parameters of the models and high performance computing solutions are employed to reduce their execution time. The personalized computational models are validated against patient-specific measurements.
The book is written for scientists in the field of biomedical engineering focusing on the cardiovascular system, as well as for research-oriented physicians in cardiology and industrial players in the field of healthcare technologies.
Editors and Affiliations
About the editors
Constantin Suciu is head of a Siemens R&D department in Romania and Associate Professor at the Transilvania University of Brasov. He received the Dipl.-Eng. Degree in Electrical Engineering in 1994, the M.Sc. degree in Electrical and Computer Engineering in 1995, both from the Transilvania University of Brasov, and the Ph.D. degree in Electronics and Computer Engineering in 2000 from the Nottingham Trent University, UK. He has an experience of over 20 years in various Industry or EU / National funded R&D projects. He is author / co-author of more than 60 scientific publications in international conferences and journals, as well as of 5 books. His current research interests are focused on the areas of Distributed and Parallel Processing and Artificial Intelligence.
Puneet Sharma is currently a Senior Director, Medical Imaging Technologies at Siemens Healthcare, located at Princeton, NJ. He received Ph.D. in Systems Engineering from University of Illinois at Urbana Champaign in 2008 and B.Tech in Mechanical Engineering from Indian Institute of Technology, Bombay in 2001. He has held various R&D positions within Siemens since 2008, focusing on the development and translation of innovative technologies into products that support the clinicians in delivering optimal care. Dr. Sharma has managed the development and commercialization of machine learning technology in clinical software applications for cardiovascular quantification of medical images. He has participated in research collaborations with several leading academic hospitals and universities, and has coauthored more than 35 peer-reviewed publications, holds 14 US and international patents, and more than 30 patents applications under review.Bibliographic Information
Book Title: Patient-specific Hemodynamic Computations: Application to Personalized Diagnosis of Cardiovascular Pathologies
Editors: Lucian Mihai Itu, Puneet Sharma, Constantin Suciu
DOI: https://doi.org/10.1007/978-3-319-56853-9
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-56852-2Published: 15 June 2017
Softcover ISBN: 978-3-319-86019-0Published: 12 August 2018
eBook ISBN: 978-3-319-56853-9Published: 31 May 2017
Edition Number: 1
Number of Pages: X, 227
Number of Illustrations: 23 b/w illustrations, 80 illustrations in colour
Topics: Biomedical Engineering/Biotechnology, Cardiology, Health Informatics, Computer Appl. in Life Sciences, Computational Biology/Bioinformatics, Mathematical and Computational Biology