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IMAGE-BASED AUTOMATED MEASUREMENT MODEL TO PREDICT PELVIC ORGAN PROLAPSE
专利权人:
Sinan Onal;Paul Bao;Alfredo Weitzenfeld;Susana Karina Lai-Yuen;Stuart Richard Hart
发明人:
Sinan Onal,Susana Karina Lai-Yuen,Paul Bao,Alfredo Weitzenfeld,Stuart Richard Hart
申请号:
US15074640
公开号:
US20160275678A1
申请日:
2016.03.18
申请国别(地区):
US
年份:
2016
代理人:
摘要:
A system and methodology for the automated localization, extraction, and analysis of MRI-based features with clinical information to improve the diagnosis of pelvic organ prolapse (POP). The system can automatically identify reference points for pelvic floor measurements on MRI rapidly and consistent. It provides a prediction model that analyzes the correlation between current and new MRI-based features with clinical information to differentiate patients with and without POP. This system will enable the high throughput analysis of MR images for their correlation with clinical information to better detect POP. The presented system can also be applied to the automated localization and extraction of MRI features for the diagnosis of other diseases where clinical examination is not adequate.
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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