King's College London

Research portal

An automatic service for the personalization of ventricular cardiac meshes

Research output: Contribution to journalArticle

Pablo Lamata de la Orden, M. Sinclair, E. Kerfoot, A. Lee, A. Crozier, B. Blazevic, S. Land, A. J. Lewandowski, D. Barber, S. Niederer, N. Smith

Original languageEnglish
Number of pages9
JournalJournal Of The Royal Society Interface
Volume11
Issue number91
DOIs
StatePublished - 11 Dec 2013

Documents

  • rsif20131023

    rsif20131023.pdf, 1 MB, application/pdf

    12/12/2015

    Final published version

    CC BY

King's Authors

Abstract

Computational cardiac physiology has great potential to improve the management of cardiovascular diseases. One of the main bottlenecks in this field is the customization of the computational model to the anatomical and physiological status of the patient. We present a fully automatic service for the geometrical personalization of cardiac ventricular meshes with high-order interpolation from segmented images. The method is versatile (able to work with different species and disease conditions) and robust (fully automatic results fulfilling accuracy and quality requirements in 87% of 255 cases). Results also illustrate the capability to minimize the impact of segmentation errors, to overcome the sparse resolution of dynamic studies and to remove the sometimes unnecessary anatomical detail of papillary and trabecular structures. The smooth meshes produced can be used to simulate cardiac function, and in particular mechanics, or can be used as diagnostic descriptors of anatomical shape by cardiologists. This fully automatic service is deployed in a cloud infrastructure, and has been made available and accessible to the scientific community.

Download statistics

No data available

View graph of relations

© 2018 King's College London | Strand | London WC2R 2LS | England | United Kingdom | Tel +44 (0)20 7836 5454