Literature DB >> 10084666

Automatic detection of left ventricular contours from cardiac cine magnetic resonance imaging using fuzzy logic.

A Lalande1, L Legrand, P M Walker, F Guy, Y Cottin, S Roy, F Brunotte.   

Abstract

RATIONALE AND
OBJECTIVES: Gated cardiac cine magnetic resonance imaging provides accurate dynamic data of the left ventricular function. However, the manual extraction of important physiologic parameters such as myocardium wall thickness and left ventricular volumes is invariably time consuming and subjective. To reduce the variability and time constraints inherent in observer contour tracing, the authors developed an automatic left ventricle contour-detection method.
METHODS: The purpose was to apply fuzzy logic-based automatic contour detection to identification of endocardial and epicardial borders in short-axis magnetic resonance images. The automatic contouring was compared with manual tracing using the calculated ejection fraction as the comparison criterion.
RESULTS: A good correlation was found between the two approaches (r2 = 0.98).
CONCLUSIONS: The ejection fraction can be obtained using this automatic contouring method.

Mesh:

Year:  1999        PMID: 10084666     DOI: 10.1097/00004424-199903000-00010

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  3 in total

1.  Pediatric cardiac MRI: automated left-ventricular volumes and function analysis and effects of manual adjustments.

Authors:  Matthias Hammon; Rolf Janka; Peter Dankerl; Martin Glöckler; Ferdinand J Kammerer; Sven Dittrich; Michael Uder; Oliver Rompel
Journal:  Pediatr Radiol       Date:  2014-11-19

2.  Clinical validation of an automated boundary tracking algorithm on cardiac MR images.

Authors:  L A Latson; K A Powell; B Sturm; P R Schvartzman; R D White
Journal:  Int J Cardiovasc Imaging       Date:  2001-08       Impact factor: 2.357

3.  Ultrafast Computation of Left Ventricular Ejection Fraction by Using Temporal Intensity Variation in Cine Cardiac Magnetic Resonance.

Authors:  Amol S Pednekar; Benjamin Y C Cheong; Raja Muthupillai
Journal:  Tex Heart Inst J       Date:  2021-09-01
  3 in total

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