Abstract:
:We evaluate in this paper different strategies for the construction of a statistical shape model (SSM) of the left ventricle (LV) to be used for segmentation in cardiac magnetic resonance (CMR) images. From a large database of LV surfaces obtained throughout the cardiac cycle from 3D echocardiographic (3DE) LV images, different LV shape models were built by varying the considered phase in the cardiac cycle and the registration procedure employed for surface alignment. Principal component analysis was computed to describe the statistical variability of the SSMs, which were then deformed by applying an active shape model (ASM) approach to segment the LV endocardium in CMR images of 45 patients. Segmentation performance was evaluated by comparing LV volumes derived by ASM segmentation with different SSMs and those obtained by manual tracing, considered as a reference. A high correlation (r(2)>0.92) was found in all cases, with better results when using the SSM models comprising more than one frame of the cardiac cycle.
journal_name
J Electrocardioljournal_title
Journal of electrocardiologyauthors
Piazzese C,Carminati MC,Colombo A,Krause R,Potse M,Auricchio A,Weinert L,Tamborini G,Pepi M,Lang RM,Caiani EGdoi
10.1016/j.jelectrocard.2016.03.017subject
Has Abstractpub_date
2016-05-01 00:00:00pages
383-91issue
3eissn
0022-0736issn
1532-8430pii
S0022-0736(16)00098-4journal_volume
49pub_type
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