Patient-Specific Modeling of the Cardiovascular System

Patient-Specific Modeling of the Cardiovascular System
Author :
Publisher : Springer Science & Business Media
Total Pages : 240
Release :
ISBN-10 : 9781441966919
ISBN-13 : 1441966919
Rating : 4/5 (19 Downloads)

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 240 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.


Patient-Specific Modeling of the Cardiovascular System Related Books

Patient-Specific Modeling of the Cardiovascular System
Language: en
Pages: 240
Authors: Roy C.P. Kerckhoffs
Categories: Science
Type: BOOK - Published: 2010-09-03 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Peter Hunter Computational physiology for the cardiovascular system is entering a new and exciting phase of clinical application. Biophysically based models of
Patient-Specific Modeling of the Cardiovascular System
Language: en
Pages: 240
Authors: Roy C.P. Kerckhoffs
Categories: Science
Type: BOOK - Published: 2010-09-09 - Publisher: Springer

DOWNLOAD EBOOK

Peter Hunter Computational physiology for the cardiovascular system is entering a new and exciting phase of clinical application. Biophysically based models of
Patient-specific Hemodynamic Computations: Application to Personalized Diagnosis of Cardiovascular Pathologies
Language: en
Pages: 227
Authors: Lucian Mihai Itu
Categories: Medical
Type: BOOK - Published: 2017-05-31 - Publisher: Springer

DOWNLOAD EBOOK

Hemodynamic computations represent a state-of-the-art approach for patient-specific assessment of cardiovascular pathologies. The book presents the development
Artificial Intelligence for Computational Modeling of the Heart
Language: en
Pages: 274
Authors: Tommaso Mansi
Categories: Science
Type: BOOK - Published: 2019-11-25 - Publisher: Academic Press

DOWNLOAD EBOOK

Artificial Intelligence for Computational Modeling of the Heart presents recent research developments towards streamlined and automatic estimation of the digita
Functional Imaging and Modeling of the Heart
Language: en
Pages: 697
Authors: Daniel B. Ennis
Categories: Computers
Type: BOOK - Published: 2021-06-17 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 11th International Conference on Functional Imaging and Modeling of the Heart, which took place online dur