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- W2059547304 abstract "This study has tested solutions to optimize the ability of factor analysis of the left ventricle in echocardiography (FALVE) to detect segmental wall motion abnormalities automatically. On four- and two-chamber views of 38 patients, two factors (one flat curve and one curve describing the contraction-relaxation sequence) were extracted and associated factor images were combined to synthesize a parametric image (constant image in green, positive/negative values of the contraction-relaxation image in red/blue). The segments were graded on the visual and the parametric views. The impact of selecting a whole cardiac cycle, masking the left ventricle and realigning the image sequence on the results, was demonstrated. Systematic realignment had a positive impact, especially for patients with left bundle branch block or pacemaker. After alignment, for the entire population, the absolute concordance was 68.6% and the relative concordance (within one grade) was 99%. Thus, FALVE is promising for detecting segmental wall motion abnormalities. (E-mail: [email protected] )" @default.
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- W2059547304 date "2005-12-01" @default.
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- W2059547304 title "Optimization of factor analysis of the left ventricle in echocardiography for detecting wall motion abnormalities" @default.
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- W2059547304 doi "https://doi.org/10.1016/j.ultrasmedbio.2005.07.019" @default.
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