Patient-specific hemodynamic computations : application to personalized diagnosis of cardiovascular pathologies /

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Bibliographic Details
Imprint:Cham : Springer, 2017.
Description:1 online resource (232 pages)
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11306884
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Other authors / contributors:Itu, Lucian Mihai.
Sharma, Puneet.
Suciu, Constantin.
ISBN:9783319568539
3319568531
9783319568522
3319568523
Digital file characteristics:text file PDF
Notes:4.2.2 Proposed Parameter Estimation Framework.
Includes bibliographical references and index.
Print version record.
Summary: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.
Other form:Print version: Itu, Lucian Mihai. Patient-specific Hemodynamic Computations: Application to Personalized Diagnosis of Cardiovascular Pathologies. Cham : Springer International Publishing, ©2017 9783319568522
Standard no.:10.1007/978-3-319-56853-9