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

A computer-aided diagnosis system for whole body bone scan using single photon emission computed tomography

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

5 Author(s)
Sheng-Fang Huang ; Dept. of Med. Inf., Tzu Chi Univ., Hualien, Taiwan ; Hao-Yu Chaoa ; Cheng-Chin Hsu ; Shan-Fong Yang
more authors

Tc-99m MDP whole body bone scan using single photon emission computed tomography (SPECT) is an important and general method to investigate the spreading of malignant tumors. However, it is time-consuming for doctors to perform three-dimensional (3D) assessment using SPECT images. Therefore, a computer-aided diagnosis (CAD) system is required to identify suspicious locations of bone abnormalities. In this study, we developed a 3D-based segmentation method and a quantitative scheme to detect the findings of possible abnormalities. In this method, we designed a new data structure called bone graph that characterizes scanned images as graph, where by tracking this graph, we can extract the morphological features from the entire skeleton. The proposed scheme automatically extracts the skeletal structure of human spine, and can be adopted to assist nuclear medicine physicians to identify the potential locations of bone lesions.

Published in:

Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on

Date of Conference:

June 28 2009-July 1 2009