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《中国物理C》(英文)编辑部
2024年10月30日

Diffraction Enhanced Imaging of Breast Tissue

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LIU Cheng-Lin, ZHANG Yuan, ZHANG Xin-Yi, YANG Wen-Tao, PENG Wei-Jun, SHI Da-Ren, ZHU Pei-Ping, HUANG Wan-Xia and YUAN Qing-Xi. Diffraction Enhanced Imaging of Breast Tissue[J]. Chinese Physics C, 2005, 29(S1): 130-132.
LIU Cheng-Lin, ZHANG Yuan, ZHANG Xin-Yi, YANG Wen-Tao, PENG Wei-Jun, SHI Da-Ren, ZHU Pei-Ping, HUANG Wan-Xia and YUAN Qing-Xi. Diffraction Enhanced Imaging of Breast Tissue[J]. Chinese Physics C, 2005, 29(S1): 130-132. shu
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Received: 2005-10-31
Revised: 1900-01-01
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Diffraction Enhanced Imaging of Breast Tissue

    Corresponding author: ZHANG Xin-Yi,
  • Synchrotron Radiation Research Center, Physics Department, Surface Physics National Key Laboratory of Fudan University, Shanghai 200433, China2 Physics Department of Yancheng Teachers' College, Yancheng 224002, China3 Cancer Hospital, Medical Center of Fudan University, Shanghai 200032, China4 Beijing Synchrotron Radiation Facility, Institute of High Energy Physics, CAS, Beijing 100049, China

Abstract: For evaluating the X-ray diffraction enhanced imaging (DEI) technology in the early diagnosis of breast cancer, the massive samples of normal breast tissue and cancerous one were imaged by DEI method using hard X-rays from 4W1A beamline at the Beijing Synchrotron Radiation Facility (BSRF). DEI images of both normal and cancerous breast tissues have been comparatively analyzed. The results show that diffraction images obtained at the top position of the rocking curve is clear enough and approximately display the structures of the soft tissue. The apparent absorption image is basically similar to the conventional mammography, and there are definite difficulties in distinguishing variant soft-tissues and its ability of finding cancerous soft-tissues is lower than the diffraction image. The inner structures of samples and the differences in shape, size, distribution and structure of the gland for normal and cancerous breast tissues can be clearly shown in refraction images. So, the DEI technology has high value in diagnosing breast cancer and may be an important complementary to early diagnostic method.

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