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Patient-specific Hemodynamic Computations: Application to Personalized Diagnosis of Cardiovascular Pathologies

Editors: Itu, Lucian Mihai, Sharma, Puneet, Suciu, Constantin (Eds.)

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  • 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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  • ISBN 978-3-319-56853-9
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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.

About the authors

Lucian Mihai Itu is lecturer at the Transilvania University of Bra┼čov, Romania. He also serves as research engineer at Siemens SRL, Romania. He received the Dipl.-Eng. degree in Systems Engineering from the Transilvania University of Brasov in 2009 and the PhD degree in Systems Engineering in 2013 after having collaborated with Siemens Corporate Research during the doctoral studies. His research interests are: computational fluid dynamics, modeling of the cardiovascular system, parameter estimation methods, high performance computing, and artificial intelligence with focus on machine learning. He has published more than 50 technical and papers in various international journals and conferences. He is joint author of more than 20 international patent applications.

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.

Table of contents (7 chapters)

Table of contents (7 chapters)
  • Computational Modeling of the Human Cardiovascular System

    Pages 1-11

    Sharma, Puneet (et al.)

  • The Cardiovascular System and the Coronary Circulation

    Pages 13-59

    Badila, Elisabeta (et al.)

  • Patient-Specific Modeling of the Coronary Circulation

    Pages 61-88

    Passerini, Tiziano (et al.)

  • A Parameter Estimation Framework for Patient-Specific Assessment of Aortic Coarctation

    Pages 89-109

    Itu, Lucian (et al.)

  • Lumped Parameter Whole Body Circulation Modelling

    Pages 111-152

    Mihalef, Viorel (et al.)

Buy this book

eBook $149.00
price for USA in USD
  • ISBN 978-3-319-56853-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.99
price for USA in USD
Softcover $199.99
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Patient-specific Hemodynamic Computations: Application to Personalized Diagnosis of Cardiovascular Pathologies
Editors
  • Lucian Mihai Itu
  • Puneet Sharma
  • Constantin Suciu
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-56853-9
DOI
10.1007/978-3-319-56853-9
Hardcover ISBN
978-3-319-56852-2
Softcover ISBN
978-3-319-86019-0
Edition Number
1
Number of Pages
X, 227
Number of Illustrations
23 b/w illustrations, 80 illustrations in colour
Topics

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