Automatic detection of bone metastasis in vertebrae by using CT images

Sheng Fang Huang, Kuo Hsien Chiang

研究成果: Conference contribution

3 引文 斯高帕斯(Scopus)

摘要

Commonly diagnosed in advanced breast cancer patients, especially in vertebrae, bone metastases can appear lytic, sclerotic, or anywhere in between these extremes. Given its ability to alter the therapeutic strategy, bone metastases is a critical issue in staging and follow-up of breast cancer. This work presents a novel computer-aided diagnosis (CAD) system to detect metastasis in vertebrae by using whole body computed tomography (CT). An automated method is developed to extract ROIs of trabecular centrum from vertebrae. Eleven texture features and their inter-slice differences are then calculated for each ROI. Next, total 33 features are fed into an artificial neural network (ANN) to determine whether any abnormality occurs in the trabecular centrum. The datasets include 35 breast cancer patients who underwent a whole-body PET/CT scan between 2007 and 2011. The average sensitivity, specificity, and accuracy are 85.4%, 91.8%, and 89.7%, respectively. Capable of identifying possible bone lesions by using CT images, the proposed CAD system can incorporate with features of nuclear medicine images to increase diagnostic accuracy in an automated CAD system for estimating bone metastases quantitatively.

原文English
主出版物標題Lecture Notes in Engineering and Computer Science
編輯A. M. Korsunsky, S. I. Ao, David WL Hukins, Len Gelman, Andrew Hunter
發行者Newswood Limited
頁面1166-1171
頁數6
ISBN(列印)9789881925213
出版狀態Published - 2012
事件2012 World Congress on Engineering, WCE 2012 - London, United Kingdom
持續時間: 2012 七月 42012 七月 6

出版系列

名字Lecture Notes in Engineering and Computer Science
2198
ISSN(列印)2078-0958

Conference

Conference2012 World Congress on Engineering, WCE 2012
國家/地區United Kingdom
城市London
期間12-07-0412-07-06

All Science Journal Classification (ASJC) codes

  • 電腦科學(雜項)

指紋

深入研究「Automatic detection of bone metastasis in vertebrae by using CT images」主題。共同形成了獨特的指紋。

引用此