Three dimensional breast masses autodetection in cone beam breast CT

Xiaohua Zhang; Ruola Ning; Dong Yang

doi:10.1117/12.813860

3 March 2009 Three dimensional breast masses autodetection in cone beam breast CT

Xiaohua Zhang, Ruola Ning, Dong Yang

Proceedings Volume 7260, Medical Imaging 2009: Computer-Aided Diagnosis; 726027 (2009) https://doi.org/10.1117/12.813860
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Cone Beam Breast CT (CBBCT) acquires 3D breast images without compression to the breast. More detailed and accurate information of breast lesions is revealed in CBBCT images. In our research, based on the observation that tumor masses are more concentrated than the surrounding tissues, we designed a weighted average filter and a threedimensional Iris filter to operate on the three-dimensional images. The basic process is: After weighted average filtering and iris filtering, a thresholding is applied to extract suspicious regions. Next, after morphological processing, suspicious regions are sorted based on their average Iris filter responses and the top 10 candidates are selected as detection results. The detection results are marked out and provided to radiologists as CAD system output. In our experiment, our method detects 12 mass locations out of 14 pathology-proven malignant clinical cases.

Citation Download Citation

Xiaohua Zhang, Ruola Ning, and Dong Yang "Three dimensional breast masses autodetection in cone beam breast CT", Proc. SPIE 7260, Medical Imaging 2009: Computer-Aided Diagnosis, 726027 (3 March 2009); https://doi.org/10.1117/12.813860

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