Paper Info
Title
Cardiac Displacement Tracking with Data Assimilation Combining a Biomechanical Model and an Automatic Contour Detection.
Abstract
Data assimilation in computational models represents an essential step in building patient-specific simulations. This work aims at circumventing one major bottleneck in the practical use of data assimilation strategies in cardiac applications, namely, the difficulty of formulating and effectively computing adequate data-fitting term for cardiac imaging such as cine MRI. We here provide a proof-of-concept study of data assimilation based on automatic contour detection. The tissue motion simulated by the data assimilation framework is then assessed with displacements extracted from tagged MRI in six subjects, and the results illustrate the performance of the proposed method, including for circumferential displacements, which are not well extracted from cine MRI alone.
Year
DOI
Venue
2019
10.1007/978-3-030-21949-9_44
Lecture Notes in Computer Science
Keywords
Field
DocType
Biophysical heart modeling,Data assimilation,cine MRI
Bottleneck,Computer vision,Computer science,Computational model,Artificial intelligence,Cardiac imaging,Data assimilation,Biomechanical model
Conference
Volume
ISSN
Citations 
11504
0302-9743
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Radomír Chabiniok100.68
Gautier Bureau200.68
A Groth3588.80
Jaroslav Tintera400.34
Jürgen Weese577492.69
Dominique Chapelle611515.37
Philippe Moireau79510.11