Automated quantification of mitral valve anatomy using anatomical intelligence in three-dimensional echocardiography
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AbstractBackground: Quantitative analysis of mitral valve morphology with three-dimensional (3D) transesophageal echocardiography (TEE) provides anatomic information that can assist clinical decision-making. However, routine use of mitral valve quantification has been hindered by tedious workflow and high operator-dependence. The purpose of this paper was to evaluate the feasibility, accuracy and efficiency of a novel computer-learning algorithm using anatomical intelligence in ultrasound (AIUS) to automatically detect and quantitatively assess the mitral valve anatomy.
All Author(s) ListJin CN, Salgo IS, Schneider RJ, Feng W, Meng FX, Kam KKH, Chi WK, So CY, Chan C, Sun JP, Tsui G, Wong KYK, Yu CM, Wan S, Wong R, Underwood M, Au S, Ng SK, Lee APW
Journal nameInternational Journal of Cardiology
Year2015
Month11
Day15
Volume Number199
PublisherELSEVIER IRELAND LTD
Pages232 - 238
ISSN0167-5273
eISSN1874-1754
LanguagesEnglish-United Kingdom
KeywordsComputer imaging; Mitral valve; Three-dimensional echocardiography; Transesophageal echocardiography
Web of Science Subject CategoriesCardiac & Cardiovascular Systems; Cardiovascular System & Cardiology

Last updated on 2020-29-11 at 01:00