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Automated vertebral body image segmentation for medical screening
专利权人:
Anthony Blumfield;Einat Blumfield
发明人:
Anthony Blumfield,Einat Blumfield
申请号:
US13412736
公开号:
US08891848B2
申请日:
2012.03.06
申请国别(地区):
US
年份:
2014
代理人:
摘要:
A method is disclosed for fully automated segmentation of human vertebral body images in a CT (computerized tomography) study with no user interaction and no phantoms, which has resiliency to anatomical abnormalities, and protocol and scanner variations. The method was developed to enable automated detection of osteoporosis in CT studies performed for other clinical reasons. Testing with 1,044 abdominal CTs from multiple sites, resulted in detection of 96.3% of the vertebral bodies and 1% false positives. Of the detected vertebral bodies, 83.3% were segmented adequately for sagittal plane quantitative evaluation of vertebral fractures indicative of osteoporosis. Improved results were observed when selecting the best sagittal plane of 3 for each vertebra, yielding a segmentation success rate of 85.4%. The method is preferably implemented in software as a building block in a system for automated osteoporosis detection.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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