By Topic

An automated method to detect single-leg separation in radiographic images of Bjork-Shiley 60 and 70° convexoconcave heart valves

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
E. Cesmeli ; Biomed. Eng. Center, Ohio State Univ., Columbus, OH, USA ; K. Powell ; J. F. Cornhill

An accurate technique for the extraction of region of interest (ROI) is an integral process in the objective quantification of single-leg separation (SLS) In the 60° and 70° Bjork-Shiley Convexo-Concave heart valves. The authors have developed a fully automated technique to detect the region of interest (ROI) where SLS would most likely occur from sequential valve images. The technique employs a modified version of Kundu's (1990) method for segmentation and principal aids transformation for the alignment of the images. These methods were chosen for ease of implementation, speed, and accuracy. The first step of the technique is to extract the inner contour of the outlet strut. The second step involves a distance analysis where a set of points characterizing the ROI is extracted. This technique has been successfully applied to 480 radiographic images from 32 subjects

Published in:

Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference  (Volume:1 )

Date of Conference:

20-25 Sep 1995