DocumentCode
2463318
Title
Bilinear Models for Spatio-Temporal Point Distribution Analysis: Application to Extrapolation of Whole Heart Cardiac Dynamics
Author
Hoogendoorn, Corné ; Sukno, Federico M. ; Ordás, Sebastián ; Frangi, Alejandro F.
Author_Institution
Computational Imaging Lab, Information and Communication Technologies Department, Pompeu Fabra University, Passeig de Circumval·lació 8, E08003 Barcelona, Spain; Networking Center on Biomedical Research - CIBER-BBN, Barcelona, Spain
fYear
2007
fDate
14-21 Oct. 2007
Firstpage
1
Lastpage
8
Abstract
In this work we introduce the usage of bilinear models as a means of factorising the shape variation induced by subject variability and the contraction of the human heart. We show that it is feasible to reconstruct the shape of the heart at a certain point in the cardiac cycle if we are given a small number of shapes representing the same heart at different points in the same cycle, using the bilinear model. Depending on pathology and the ratios between healthy and pathological hearts in the training set, RMS reconstruction errors measured between 1.39 and 16.58 millimetres, with a median of 6.79 and 90th percentile of 9.95 millimetres.
Keywords
Biomedical imaging; Extrapolation; Heart; Humans; Image motion analysis; Image reconstruction; Pathology; Principal component analysis; Shape measurement; Spatiotemporal phenomena;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on
Conference_Location
Rio de Janeiro, Brazil
ISSN
1550-5499
Print_ISBN
978-1-4244-1630-1
Electronic_ISBN
1550-5499
Type
conf
DOI
10.1109/ICCV.2007.4409133
Filename
4409133
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