Overview
- Editors:
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Roy C.P. Kerckhoffs
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Dept. Bioengineering, University of California, San Diego, La Jolla, USA
First book to focus on patient-specific modeling of the heart
This book covers the design of a variety of patient-specific models within the cardiovascular system in computational biology
Focus on the potential of patient-specific computational models of cardiovascular physiology to predict or optimize outcomes of clinical treatments
Includes supplementary material: sn.pub/extras
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Table of contents (12 chapters)
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- David E. Krummen, Gainyu Oshodi, Sanjiv M. Narayan
Pages 1-19
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- Theo Arts, Joost Lumens, Wilco Kroon, Dirk Donker, Frits Prinzen, Tammo Delhaas
Pages 21-41
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- Laurent Uldry, Nathalie Virag, Jean-Marc Vesin, Lukas Kappenberger
Pages 63-79
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- Lambert Speelman, Mariëlle Bosboom, Geert W. H. Schurink, Frans N. v.d. Vosse
Pages 95-111
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- Michael Backhaus, Jae Do Chung, Brett R. Cowan, Carissa G. Fonseca, Wenchao Tao, Alistair A. Young
Pages 113-129
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- Jonathan F. Wenk, Zhihong Zhang, Guangming Cheng, Kay Sun, Joseph C. Walker, David A. SalonerSaloner et al.
Pages 131-144
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- Fijoy Vadakkumpadan, Viatcheslav Gurev, Jason Constantino, Hermenegild Arevalo, Natalia Trayanova
Pages 145-165
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- Maxime Sermesant, Reza Razavi
Pages 167-182
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- Joanna Nathan, Amina Ann Qutub
Pages 183-201
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- Jazmin Aguado-Sierra, Roy C. P. Kerckhoffs, Fred Lionetti, Darlene Hunt, Chris Villongco, Matt Gonzales et al.
Pages 203-223
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Back Matter
Pages 225-240
About this book
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.
Editors and Affiliations
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Dept. Bioengineering, University of California, San Diego, La Jolla, USA
Roy C.P. Kerckhoffs
