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Aortic Dissection: Simulation Tools for Disease Management and Understanding de Mona Alimohammadi

Aortic Dissection: Simulation Tools for Disease Management and Understanding: Springer Theses

Autor Mona Alimohammadi
en Limba Engleză Hardback – 26 ian 2018
This thesis addresses computation fluid dynamics modelling of aortic dissection (AD), in order to generate in silico diagnostic information and assess ‘virtual surgery’ outcomes. The thesis introduces several important advances in the modelling of aortic dissection and lays essential groundwork for further development of this technology. The work thesis represents a unique and major step forward in our understanding of AD using a patient-specific, systematic and coherent simulation approach, and is currently the most advanced work available on AD.
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  Springer International Publishing – 4 iun 2019 67318 lei  6-8 săpt.
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Specificații

ISBN-13: 9783319563268
ISBN-10: 3319563262
Pagini: 179
Ilustrații: XXIX, 179 p. 92 illus., 85 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.48 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Springer Theses

Locul publicării:Cham, Switzerland

Textul de pe ultima copertă

This thesis addresses computation fluid dynamics modelling of aortic dissection (AD), in order to generate in silico diagnostic information and assess ‘virtual surgery’ outcomes. The thesis introduces several important advances in the modelling of aortic dissection and lays essential groundwork for further development of this technology. The work thesis represents a unique and major step forward in our understanding of AD using a patient-specific, systematic and coherent simulation approach, and is currently the most advanced work available on AD. 

Caracteristici

Nominated as an outstanding PhD thesis by the University College London, UK Highlights important advances in the modeling and simulation of aortic dissection Presents a unique, patient-specific approach to aortic dissection Offers essential insights into the benefits of using computational tools for surgery