Mitral Annulus Segmentation from Four-dimensional Ultrasound Using a Valve State Predictor and Constrained Optical Flow

Overview

Journal Med Image Anal

Publisher Elsevier

Specialty Radiology

Date 2011 Dec 28

PMID 22200622

Citations 7

Authors

Robert J Schneider

Douglas P Perrin

Nikolay V Vasilyev

Gerald R Marx

Pedro J Del Nido

Robert D Howe

Affiliations

Soon will be listed here.

Abstract

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±0.63mm was found across 30 tracked frames.

Citing Articles

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