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010   $a3-319-56853-1
024 7 $a10.1007/978-3-319-56853-9
035   $a(CKB)3710000001393629
035   $a(DE-He213)978-3-319-56853-9
035   $a(MiAaPQ)EBC4871121
035   $a(PPN)202993833
035   $a(EXLCZ)993710000001393629
100   $a20170602d2017      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aPatient-specific Hemodynamic Computations: Application to Personalized Diagnosis of Cardiovascular Pathologies /$fedited by Lucian Mihai Itu, Puneet Sharma, Constantin Suciu
205   $a1st ed. 2017.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017.
215   $a1 online resource (X, 227 p. 103 illus., 80 illus. in color.) 
311   $a3-319-56852-3 
320   $aIncludes bibliographical references at the end of each chapters.
327   $a1.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.
330   $aHemodynamic 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.
606   $aBiomedical engineering
606   $aCardiology
606   $aMedical informatics
606   $aBioinformatics
606   $aComputational biology
606   $aBioinformatics
606   $aBiomathematics
606   $aBiomedical Engineering/Biotechnology$3https://scigraph.springernature.com/ontologies/product-market-codes/B24000
606   $aCardiology$3https://scigraph.springernature.com/ontologies/product-market-codes/H33037
606   $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/H28009
606   $aComputer Appl. in Life Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/L17004
606   $aComputational Biology/Bioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23050
606   $aMathematical and Computational Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/M31000
615  0$aBiomedical engineering.
615  0$aCardiology.
615  0$aMedical informatics.
615  0$aBioinformatics.
615  0$aComputational biology.
615  0$aBioinformatics.
615  0$aBiomathematics.
615 14$aBiomedical Engineering/Biotechnology.
615 24$aCardiology.
615 24$aHealth Informatics.
615 24$aComputer Appl. in Life Sciences.
615 24$aComputational Biology/Bioinformatics.
615 24$aMathematical and Computational Biology.
676   $a610.28
702   $aItu$b Lucian Mihai$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aSharma$b Puneet$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aSuciu$b Constantin$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910253931603321
996   $aPatient-specific Hemodynamic Computations: Application to Personalized Diagnosis of Cardiovascular Pathologies$92264728
997   $aUNINA