Skip to main content
SpringerLink
Log in

Aortic Dissection: Simulation Tools for Disease Management and Understanding

  • Book
  • © 2018

Overview

Authors:
  1. Mona Alimohammadi

    1. Department of Mechanical Engineering, University College London, London, United Kingdom

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • 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

Part of the book series: Springer Theses (Springer Theses)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (6 chapters)

  1. Front Matter

    Pages i-xxix
    Download chapter PDF

  2. Introduction

    • Mona Alimohammadi
    Pages 1-38

  3. Computational Methods for Patient-Specific Modelling

    • Mona Alimohammadi
    Pages 39-68

  4. Haemodynamics of a Dissected Aorta

    • Mona Alimohammadi
    Pages 69-100

  5. Effectiveness of Aortic Dissection Treatments via Virtual Stenting

    • Mona Alimohammadi
    Pages 101-126

  6. Role of Vessel Wall Motion in Aortic Dissection

    • Mona Alimohammadi
    Pages 127-153

  7. Conclusions and Future Work

    • Mona Alimohammadi
    Pages 155-160

  8. Back Matter

    Pages 161-179
    Download chapter PDF
Back to top

Keywords

About this book

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.

Authors and Affiliations

  • Department of Mechanical Engineering, University College London, London, United Kingdom

    Mona Alimohammadi

Bibliographic Information

  • Book Title: Aortic Dissection: Simulation Tools for Disease Management and Understanding

  • Authors: Mona Alimohammadi

  • Series Title: Springer Theses

  • DOI: https://doi.org/10.1007/978-3-319-56327-5

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2018

  • Hardcover ISBN: 978-3-319-56326-8Published: 26 January 2018

  • Softcover ISBN: 978-3-319-85886-9Published: 04 June 2019

  • eBook ISBN: 978-3-319-56327-5Published: 20 January 2018

  • Series ISSN: 2190-5053

  • Series E-ISSN: 2190-5061

  • Edition Number: 1

  • Number of Pages: XXIX, 179

  • Number of Illustrations: 7 b/w illustrations, 85 illustrations in colour

  • Topics: Biomedical Engineering and Bioengineering, Engineering Fluid Dynamics, Cardiac Surgery

Publish with us

Policies and ethics

Back to top

Search

Navigation