Paper
3 May 2002 Flat-panel-detector-based cone-beam volume CT breast imaging: phantom and specimen study
Ruola Ning, David L. Conover, Biao Chen, Linda Schiffhauer, Jeanne Cullinan, Yi Ning, 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. A computer simulation study has 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 phantom and specimen experiment is performed to confirm the findings in the computer simulation 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 the patient dose level required for FPD-based CBVCTBI to detect a small tumor (under 5 mm) and a small calcification is 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.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ruola Ning, David L. Conover, Biao Chen, Linda Schiffhauer, Jeanne Cullinan, Yi Ning, and Arvin E. Robinson "Flat-panel-detector-based cone-beam volume CT breast imaging: phantom and specimen study", Proc. SPIE 4682, Medical Imaging 2002: Physics of Medical Imaging, (3 May 2002); https://doi.org/10.1117/12.465562
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Cited by 19 scholarly publications.
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KEYWORDS
Mammography

Breast

Tumors

Sensors

Breast imaging

Prototyping

Computed tomography

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