Title :
Automatic measurement on CT images for patella dislocation diagnosis
Author :
Qi Kong ; Shaoshan Wang ; Jiushan Yang ; Ruiqi Zou ; Yan Huang ; Yilong Yin ; Jingliang Peng
Author_Institution :
Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan, China
Abstract :
To diagnose the patella dislocation, various angles and distances need to be measured on knee CT images, which was traditionally done by doctors manually. In this work, we propose a novel scheme for automatic measurement on knee CT images to assist doctors diagnosis of patella dislocation. Specifically, we first segment the femur and the patella regions on the CT images, then adopt optimal fitting to obtain the central planes of the femur and the patella bones and, based on which, make the measurement. As experimentally demonstrated, the measured results obtained with our system are highly consistent with those manually made by experienced doctors.
Keywords :
bone; computerised tomography; image segmentation; medical image processing; patient diagnosis; automatic measurement; femur segmentation; knee CT images; optimal fitting; patella bones; patella dislocation diagnosis; patella region; Active contours; Bones; Computed tomography; Image segmentation; Knee; Manuals; Medical services; CT image; Image segmentation; patella dislocation;
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
DOI :
10.1109/ICIP.2013.6738233