Paper
5 June 2003 Real-time flat-panel detector-based cone beam volume CT breast imaging: phantom and specimen study
Ruola Ning, David L. Conover, Yong Yu, Linda Schiffhauer, Xianghua Lu, Jeanne Cullinan, Arvin E. Robinson
Author Affiliations +
Abstract
Conventional film-screen mammography is the most effective tool for the early detection of breast cancer currently available. However, conventional mammography has relatively low sensitivity to detect small breast cancers (under several millimeters) owing to an overlap in the appearances of benign and malignant lesions, and surrounding structure. The limitations accompanying conventional mammography is to be addressed by incorporating a cone beam volume CT imaging technique with a recently developed flat panel detector. Computer simulation and preliminary studies have been performed to prove the feasibility of developing a flat panel detector-based cone beam volume CT breast imaging (FPD-CBVCTBI) technique. In this study, a specimen experiment is performed to confirm the findings in the computer simulation and previous phantom studies using the current prototype cone beam volume CT scanner. The results indicate that the CBVCTBI technique effectively removes structure overlap and significantly improves the detectability of small breast tumors. More importantly, the results also demonstrate CBVCTBI offers good correlation with pathology images with the radiation dose level less than or equal to that of conventional mammography. The results from this study suggest that FPD-CBVCTBI is a potentially powerful breast-imaging tool.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ruola Ning, David L. Conover, Yong Yu, Linda Schiffhauer, Xianghua Lu, Jeanne Cullinan, and Arvin E. Robinson "Real-time flat-panel detector-based cone beam volume CT breast imaging: phantom and specimen study", Proc. SPIE 5030, Medical Imaging 2003: Physics of Medical Imaging, (5 June 2003); https://doi.org/10.1117/12.480133
Lens.org Logo
CITATIONS
Cited by 6 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Mammography

Breast

Pathology

Tumors

Minerals

Computed tomography

Sensors

Back to Top