TY - GEN
T1 - Multilabel graph based approach for knee cartilage segmentation
T2 - 3rd IEEE Conference on Biomedical Engineering and Sciences, IECBES 2014
AU - Gan, Hong Seng
AU - Tan, Tian Swee
AU - Sayuti, Khairil Amir
AU - Karim, Ahmad Helmy Abdul
AU - Kadir, Mohammed Rafiq Abdul
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014
Y1 - 2014
N2 - Knee osteoarthritis is the second most dreadful disease after cardiovascular diseases. Affected patients will not have any effective cure and face the risk of undergoing total knee replacement in chronic stage. Quantitative analysis enhances our understanding of the pathophysiology of osteoarthritis. Nonetheless, manual segmentation is notorious for time- and resource-intensive. Hence, we propose a multilabel, semiautomated segmentation method based on random walks to facilitate the segmentation process. Random walks method is robust to noise, allows multiple objects segmentation and achieves global minimum solution. Our experiment results indicated that random walks achieved greater efficiency than manual segmentation while preserved the quality of knee cartilage segmentation as measured by the Dice's coefficient.
AB - Knee osteoarthritis is the second most dreadful disease after cardiovascular diseases. Affected patients will not have any effective cure and face the risk of undergoing total knee replacement in chronic stage. Quantitative analysis enhances our understanding of the pathophysiology of osteoarthritis. Nonetheless, manual segmentation is notorious for time- and resource-intensive. Hence, we propose a multilabel, semiautomated segmentation method based on random walks to facilitate the segmentation process. Random walks method is robust to noise, allows multiple objects segmentation and achieves global minimum solution. Our experiment results indicated that random walks achieved greater efficiency than manual segmentation while preserved the quality of knee cartilage segmentation as measured by the Dice's coefficient.
UR - http://www.scopus.com/inward/record.url?scp=84925652634&partnerID=8YFLogxK
U2 - 10.1109/IECBES.2014.7047487
DO - 10.1109/IECBES.2014.7047487
M3 - Conference Proceeding
AN - SCOPUS:84925652634
T3 - IECBES 2014, Conference Proceedings - 2014 IEEE Conference on Biomedical Engineering and Sciences: "Miri, Where Engineering in Medicine and Biology and Humanity Meet"
SP - 210
EP - 213
BT - IECBES 2014, Conference Proceedings - 2014 IEEE Conference on Biomedical Engineering and Sciences
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 8 December 2014 through 10 December 2014
ER -
