Using Anatomic Intelligence to Localize Mitral Valve Prolapse on Three-Dimensional Echocardiography
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AbstractBackground: Accurate localization of mitral valve prolapse (MVP) is crucial for surgical planning. Despite improved visualization of the mitral valve by three-dimensional transesophageal echocardiography, image interpretation remains expertise dependent. Manual construction of mitral valve topographic maps improves diagnostic accuracy but is time-consuming and requires substantial manual input. A novel computer-learning technique called Anatomical Intelligence in ultrasound (AIUS) semiautomatically tracks the annulus and leaflet anatomy for parametric analysis. The aims of this study were to examine whether AIUS could improve accuracy and efficiency in localizing MVP among operators with different levels of experience.
All Author(s) ListJin CN, Salgo IS, Schneider RJ, Kam KKH, Chi WK, So CY, Tang Z, Wan S, Wong R, Underwood M, Lee APW
Journal nameJournal of The American Society of Echocardiography
Detailed descriptionpii: S0894-7317(16)30302-9. doi: 10.1016/j.echo.2016.07.002. Epub ahead of print.
Year2016
Month10
Volume Number29
Issue Number10
PublisherMOSBY-ELSEVIER
Pages938 - 945
ISSN0894-7317
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 2021-16-01 at 01:20