Literature DB >> 16970717

Automated three-dimensional analysis of mitral annular dynamics in patients with myocardial infarction using automated mitral annular tracking method.

Yasuhiko Takemoto1, Takeshi Hozumi, Kenichi Sugioka, Hiroyuki Watanabe, Yoshiki Matsumura, Minoru Yoshiyama, Kazuhide Takeuchi, Junichi Yoshikawa.   

Abstract

BACKGROUND: A newly developed automated mitral annular tracking method (AMAT) has recently become available and enables us to perform automated analysis of mitral annular dynamics.
PURPOSE: To evaluate mitral annular dynamics using AMAT.
METHODS: AMAT was performed using a Toshiba Aplio SSA-770 ultrasound system in 15 normal healthy volunteers (group N), 16 patients with anterior MI (group A), and 12 inferior MI (group B). The distance between an annular point at end-diastole and at end-systole (distance D) was automatically measured using AMAT at the basal portion of the anterior, lateral, posterior, inferior, and inferoseptal wall. The angle between the mitral annular plane at end-diastole and the direction of movement of each mitral annular point from end-diastole to end-systole (angle A) was also automatically measured at all five mitral annular points. The coefficients of variation (CV) of both distance D and of angle A were calculated as indices of asynchrony of mitral annular dynamics.
RESULTS: CV of distance D in group A (22 +/- 9% (P < 0.01 vs group N)) and group B (22 +/- 10% (P < 0.01 vs group N)) were both significantly larger than in group N (13 +/- 4%). CV of angle A in group A (15 +/- 10% (P < 0.05 vs group N)) and group B (15 +/- 10% (P < 0.05 vs group N)) were also significantly larger than that in group N (8 +/- 3%).
CONCLUSION: Automated analysis using AMAT showed that mitral annular dynamics of patients with MI were less symmetrical than in normal healthy volunteers.

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Year:  2006        PMID: 16970717     DOI: 10.1111/j.1540-8175.2006.00285.x

Source DB:  PubMed          Journal:  Echocardiography        ISSN: 0742-2822            Impact factor:   1.724


  2 in total

1.  Mitral annulus segmentation from four-dimensional ultrasound using a valve state predictor and constrained optical flow.

Authors:  Robert J Schneider; Douglas P Perrin; Nikolay V Vasilyev; Gerald R Marx; Pedro J del Nido; Robert D Howe
Journal:  Med Image Anal       Date:  2011-12-04       Impact factor: 8.545

2.  Identification of Mitral Annulus Hinge Point Based on Local Context Feature and Additive SVM Classifier.

Authors:  Jianming Zhang; Yangchun Liu; Wei Xu
Journal:  Comput Math Methods Med       Date:  2015-05-18       Impact factor: 2.238

  2 in total

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