Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Computer-aided detection and characterization of hyperparathyroidism in digital hand radiographs

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)
Chang, C.-L. ; Michigan Univ., Ann Arbor, MI, USA ; Heang-Ping Chan ; Niklason, L.T. ; Crabbe, J.
more authors

A computer algorithm has been developed to detect and possibly stage subperiosteal resorption from digitized hand radiographs for patients with primary or secondary hyperparathyroidism. The method can quantify the severity of bony resorption by analyzing the roughness of the radial phalangeal margins as projected on the hand radiographs. This margin is detected by a model-guided boundary-tracking scheme and its roughness is quantified by the mean-square variation and the first moment of the power spectrum. The preliminary results indicate that the computer-aided diagnosis system if accurately trained, may assist radiologists in detection and staging of hyperparathyroidism by providing reproducible and consistent analysis of bony erosion

Published in:

Computer-Based Medical Systems, 1992. Proceedings., Fifth Annual IEEE Symposium on

Date of Conference:

14-17 Jun 1992