Mitral annulus segmentation from four-dimensional ultrasound using a valve state predictor and constrained optical flow.
Mitral annulus segmentation from four-dimensional ultrasound using a valve state predictor and constrained optical flow.
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DOI:
10.1016/j.media.2011.11.006
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发表时间:
2012-02
影响因子:
10.9
通讯作者:
Howe, Robert D.
中科院分区:
文献类型:
--
作者:
Schneider, Robert J.;Perrin, Douglas P.;Vasilyev, Nikolay V.;Marx, Gerald R.;del Nido, Pedro J.;Howe, Robert D.
Measurement of the shape and motion of the mitral valve annulus has proven useful in a number of applications, including pathology diagnosis and mitral valve modeling. Current methods to delineate the annulus from four-dimensional (4D) ultrasound, however, either require extensive overhead or user-interaction, become inaccurate as they accumulate tracking error, or they do not account for annular shape or motion. This paper presents a new 4D annulus segmentation method to account for these deficiencies. The method builds on a previously published three-dimensional (3D) annulus segmentation algorithm that accurately and robustly segments the mitral annulus in a frame with a closed valve. In the 4D method, a valve state predictor determines when the valve is closed. Subsequently, the 3D annulus segmentation algorithm finds the annulus in those frames. For frames with an open valve, a constrained optical flow algorithm is used to the track the annulus. The only inputs to the algorithm are the selection of one frame with a closed valve and one user-specified point near the valve, neither of which needs to be precise. The accuracy of the tracking method is shown by comparing the tracking results to manual segmentations made by a group of experts, where an average RMS difference of 1.67 ± 0.63 mm was found across 30 tracked frames.
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10.1016/s0022-5223(96)70056-9
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