Segmentation of 3D radio frequency echocardiography using a spatio-temporal predictor.
Segmentation of 3D radio frequency echocardiography using a spatio-temporal predictor.
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DOI：
10.1016/j.media.2011.09.002
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发表时间：
2012-02
影响因子：
10.9
通讯作者：
Duncan, J. S.
中科院分区：
文献类型：
--
作者：
Pearlman, P. C.;Tagare, H. D.;Lin, B. A.;Sinusas, A. J.;Duncan, J. S.
This paper presents an algorithm for segmenting left ventricular endocardial boundaries from RF ultrasound. Our method incorporates a computationally efficient linear predictor that exploits short-term spatio-temporal coherence in the RF data. Segmentation is achieved jointly using an independent identically distributed (i.i.d.) spatial model for RF intensity and a multiframe conditional model that relates neighboring frames in the image sequence. Segmentation using the RF data overcomes challenges due to image inhomogeneities often amplified in B-mode segmentation and provides geometric constraints for RF phase-based speckle tracking. The incorporation of multiple frames in the conditional model significantly increases the robustness and accuracy of the algorithm. Results are generated using between 2 and 5 frames of RF data for each segmentation and are validated by comparison with manual tracings and automated B-mode boundary detection using standard (Chan and Vese-based) level sets on echocardiographic images from 27 3D sequences acquired from 6 canine studies.
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影响因子：
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作者：
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通讯作者：
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DOI：
10.1109/tuffc.2007.515
发表时间：
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影响因子：
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