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The Resource Patient-specific Hemodynamic Computations: Application to Personalized Diagnosis of Cardiovascular Pathologies, edited by Lucian Mihai Itu, Puneet Sharma, Constantin Suciu, (electronic resource)

Patient-specific Hemodynamic Computations: Application to Personalized Diagnosis of Cardiovascular Pathologies, edited by Lucian Mihai Itu, Puneet Sharma, Constantin Suciu, (electronic resource)

Label
Patient-specific Hemodynamic Computations: Application to Personalized Diagnosis of Cardiovascular Pathologies
Title
Patient-specific Hemodynamic Computations: Application to Personalized Diagnosis of Cardiovascular Pathologies
Statement of responsibility
edited by Lucian Mihai Itu, Puneet Sharma, Constantin Suciu
Contributor
Editor
Subject
Language
eng
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
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Literary form
non fiction
Patient-specific Hemodynamic Computations: Application to Personalized Diagnosis of Cardiovascular Pathologies, edited by Lucian Mihai Itu, Puneet Sharma, Constantin Suciu, (electronic resource)
Label
Patient-specific Hemodynamic Computations: Application to Personalized Diagnosis of Cardiovascular Pathologies, edited by Lucian Mihai Itu, Puneet Sharma, Constantin Suciu, (electronic resource)
Link
http://libproxy.rpi.edu/login?url=http://dx.doi.org/10.1007/978-3-319-56853-9
Publication
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Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
1.Computational Modeling of the Human Cardiovascular System -- 2.The Cardiovascular System and the Coronary Circulation -- 3.Patient-Specific Modeling of the Coronary Circulation -- 4.A Parameter Estimation Framework for Patient-specific Assessment of Aortic Coarctation -- 5.Lumped Parameter Whole Body Circulation Modelling -- 6.Three Dimensional Reconstruction and Hemodynamic Information Extraction from Monoplane Angiography -- 7.GPU-based High Performance Computing: Employing massively parallel processors for speeding-up compute intensive algorithms
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9783319568539&userID=ebsco-test&password=ebsco-test
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unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b4258204'}
Extent
X, 227 p. 103 illus., 80 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9783319568539
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote

Library Locations

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      110 8th St, Troy, NY, 12180, US
      42.729766 -73.682577
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