Imperial College London


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BibTex format

author = {Bai, W and Peressutti, D and Parisot, S and Oktay, O and Rajchl, M and O, Regan D and Cook, S and King, A and Rueckert, D},
doi = {10.1007/978-3-319-28712-6_2},
pages = {13--20},
publisher = {Springer},
title = {Beyond the AHA 17-segment model: Motion-driven parcellation of the left ventricle},
url = {},
year = {2016}

RIS format (EndNote, RefMan)

AB - A major challenge for cardiac motion analysis is the highdimensionality of the motion data. Conventionally, the AHA model is used for dimensionality reduction, which divides the left ventricle into 17 segments using criteria based on anatomical structures. In this paper, a novel method is proposed to divide the left ventricle into homogeneous parcels in terms of motion trajectories. We demonstrate that the motion-driven parcellation has good reproducibility and use it for data reduction and motion description on a dataset of 1093 subjects. The resulting motion descriptor achieves high performance on two exemplar applications, namely gender and age predictions. The proposed method has the potential to be applied to groupwise motion analysis.
AU - Bai,W
AU - Peressutti,D
AU - Parisot,S
AU - Oktay,O
AU - Rajchl,M
AU - O,Regan D
AU - Cook,S
AU - King,A
AU - Rueckert,D
DO - 10.1007/978-3-319-28712-6_2
EP - 20
PB - Springer
PY - 2016///
SN - 0302-9743
SP - 13
TI - Beyond the AHA 17-segment model: Motion-driven parcellation of the left ventricle
UR -
ER -