Cantitate/Preț
Produs

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.
Citește tot Restrânge

Din seria Springer Theses

Preț: 62056 lei

Preț vechi: 73007 lei
-15%

Puncte Express: 931

Carte tipărită la comandă

Livrare economică 13-27 iulie

Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit pentru acest produs Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.

Specificații

ISBN-13: 9783319563268
ISBN-10: 3319563262
Pagini: 212
Ilustrații: XXIX, 179 p. 92 illus., 85 illus. in color.
Dimensiuni: 160 x 241 x 18 mm
Greutate: 0.49 kg
Ediția:1st edition 2018
Editura: Springer
Colecția Springer Theses
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