학술논문
Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography
Document Type
Periodical
Author
Bernard, O.; Bosch, J. G.; Heyde, B.; Alessandrini, M.; Barbosa, D.; Camarasu-Pop, S.; Cervenansky, F.; Valette, S.; Mirea, O.; Bernier, M.; Jodoin, P. M.; Domingos, J. S.; Stebbing, R. V.; Keraudren, K.; Oktay, O.; Caballero, J.; Shi, W.; Rueckert, D.; Milletari, F.; Ahmadi, S. A.; Smistad, E.; Lindseth, F.; van Stralen, M.; Wang, C.; Smedby, O.; Donal, E.; Monaghan, M.; Papachristidis, A.; Geleijnse, M. L.; Galli, E.; D'hooge, J.
Source
IEEE Transactions on Medical Imaging IEEE Trans. Med. Imaging Medical Imaging, IEEE Transactions on. 35(4):967-977 Apr, 2016
Subject
Language
ISSN
0278-0062
1558-254X
1558-254X
Abstract
Real-time 3D Echocardiography (RT3DE) has been proven to be an accurate tool for left ventricular (LV) volume assessment. However, identification of the LV endocardium remains a challenging task, mainly because of the low tissue/blood contrast of the images combined with typical artifacts. Several semi and fully automatic algorithms have been proposed for segmenting the endocardium in RT3DE data in order to extract relevant clinical indices, but a systematic and fair comparison between such methods has so far been impossible due to the lack of a publicly available common database. Here, we introduce a standardized evaluation framework to reliably evaluate and compare the performance of the algorithms developed to segment the LV border in RT3DE. A database consisting of 45 multivendor cardiac ultrasound recordings acquired at different centers with corresponding reference measurements from three experts are made available. The algorithms from nine research groups were quantitatively evaluated and compared using the proposed online platform. The results showed that the best methods produce promising results with respect to the experts' measurements for the extraction of clinical indices, and that they offer good segmentation precision in terms of mean distance error in the context of the experts' variability range. The platform remains open for new submissions.