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Author Bosch, J.G. ♦ Reiber, J.H.C. ♦ van Burken, G. ♦ Gerbrands, J.J. ♦ Kostov, A. ♦ van de Goor, A.J. ♦ van Daele, M.E.R.M. ♦ Roelandt, J.R.T.C.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1990
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science ♦ Technology ♦ Medicine & health
Subject Keyword Costs ♦ Muscles ♦ Dynamic programming ♦ Motion detection ♦ Iterative methods ♦ Geometry ♦ Hardware ♦ Workstations ♦ Monitoring ♦ Image quality
Abstract An automated contour detection method has been developed for the assessment of left ventricular wall motion from short-axis transesophageal echocardiograms. The method is based on minimum-cost contour detection using an iterative approach and implicit knowledge about left ventricular geometry. The contour detection takes about 4 seconds per image on a 20-MHz Compaq 386. This automated method has been evaluated by comparison of automatically detected contours with contours drawn manually on 480 images. Inter- and intra-observer variabilities were determined for both types of contours. Performance of the manual drawing was only slightly better than automatic detection. This technique is now being extended towards frame-to-frame contour detection. Very promising results were obtained in a pilot study on a high-quality echo sequence.<<ETX>>
Description Author affiliation: Thoraxcenter, Erasmus Univ., Rotterdam, Netherlands (Bosch, J.G.; Reiber, J.H.C.; van Burken, G.)
ISBN 0818622253
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1990-09-23
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 363.91 kB
Page Count 4
Starting Page 435
Ending Page 438


Source: IEEE Xplore Digital Library