By Topic

Automatic femur segmentation and condyle line detection in 3D MR scans for alignment of high resolution MR

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
$31 $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

7 Author(s)
Jolly, M.-P. ; Imaging & Visualization Dept., Siemens Corp. Res., Princeton, NJ, USA ; Alvino, C. ; Odry, B. ; Deng, X.
more authors

This paper describes an automatic algorithm to extract the knee frame of reference from 3D MR isotropic scans. The method ultimately seeks to determine two lines that are tangent to the bottom of the condyles in an axial and a coronal plane. It consists of three major parts, initial detection of the knee joint using Hidden Markov Models, femur segmentation using Random Walker segmentation, and finally condyle detection. We demonstrate on 30 datasets that our algorithm is very robust and performs at the same level as a human reader.

Published in:

Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on

Date of Conference:

14-17 April 2010