Interactive knee cartilage extraction using efficient segmentation software: data from the osteoarthritis initiative

Hong-Seng Gan, Tian-Swee Tan, Liang-Xuan Wong, Weng-Kit Tham, Khairil Amir Sayuti, Ahmad Helmy Abdul Karim, Mohammed Rafiq bin Abdul Kadir
2014 Bio-medical materials and engineering  
In medical image segmentation, manual segmentation is considered both labor- and time-intensive while automated segmentation often fails to segment anatomically intricate structure accordingly. Interactive segmentation can tackle shortcomings reported by previous segmentation approaches through user intervention. To better reflect user intention, development of suitable editing functions is critical. In this paper, we propose an interactive knee cartilage extraction software that covers three
more » ... portant features: intuitiveness, speed, and convenience. The segmentation is performed using multi-label random walks algorithm. Our segmentation software is simple to use, intuitive to normal and osteoarthritic image segmentation and efficient using only two third of manual segmentation's time. Future works will extend this software to three dimensional segmentation and quantitative analysis.
doi:10.3233/bme-141137 pmid:25227024 fatcat:4u3o7vk4mfhxloaqstj4unjtqi