Application of Active Shape Model to Lumbar Spine X-Ray Image Segmentation and Angle Feature Extraction

• Main Authors: WANG,CHI-FAN, 王啟凡
• Other Authors: HSU,WEI-YEN
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/23201238309311165873

碩士 === 國立中正大學 === 資訊管理系醫療資訊管理研究所 === 104 === In recent years, osteoporosis is one of the important and universality disease in many issues about aging society. Around sixty thousand people have vertebral fracture result from the osteoporosis in Taiwan every year, and percutaneous vertebroplasty can relieve pain from vertebral compression fractures. However, according to the past a few clinical researches, we find out that the patients who take percutaneous vertebroplasty treatment is able to suffer from subsequent fracture within one year, especially on the adjacent fracture. In the past, physician have to measure the angle of lumbar spine manually, then assess whether patient have a subsequent fracture within one year. In this study, we apply active shape model algorithm to segment lumbar spine X-ray image. Next, we extract the angle feature between two endplates automatically. The angle we extract can effectively assist physicians in making professional assessment. This can upgrade the work efficiency and reduce time costs. In the experiments, the segmentation results with proposed method are illustrated and in comparison with those which are segmented manually by physicians. The results indicate that our methods achieve satisfactory results.