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)


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.

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
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


名字Lecture Notes in Engineering and Computer Science


Conference2012 World Congress on Engineering, WCE 2012
國家/地區United Kingdom

All Science Journal Classification (ASJC) codes

  • 電腦科學(雜項)


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