TY  - JOUR
AU  - C. Butakoff
AU  - Simone Balocco
AU  - F.M. Sukno
AU  - C. Hoogendoorn
AU  - C. Tobon-Gomez
AU  - G. Avegliano
AU  - A.F. Frangi
PY  - 2016//
TI  - Left-ventricular Epi- and Endocardium Extraction from 3D Ultrasound Images Using an Automatically Constructed 3D ASM
T2  - CMBBE
JO  - Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization
SP  - 265
EP  - 280
VL  - 4
IS  - 5
KW  - ASM
KW  - cardiac segmentation
KW  - statistical model
KW  - shape model
KW  - 3D ultrasound
N2  - In this paper, we propose an automatic method for constructing an active shape model (ASM) to segment the complete cardiac left ventricle in 3D ultrasound (3DUS) images, which avoids costly manual landmarking. The automatic construction of the ASM has already been addressed in the literature; however, the direct application of these methods to 3DUS is hampered by a high level of noise and artefacts. Therefore, we propose to construct the ASM by fusing the multidetector computed tomography data, to learn the shape, with the artificially generated 3DUS, in order to learn the neighbourhood of the boundaries. Our artificial images were generated by two approaches: a faster one that does not take into account the geometry of the transducer, and a more comprehensive one, implemented in Field II toolbox. The segmentation accuracy of our ASM was evaluated on 20 patients with left-ventricular asynchrony, demonstrating plausibility of the approach.
SN  - 2168-1163
L1  - http://refbase.cvc.uab.es/files/BBS2014.pdf
UR  - http://dx.doi.org/10.1080/21681163.2014.910703
N1  - MILAB
ID  - C. Butakoff2016
ER  -