TY - JOUR
T1 - A complementary scheme for automated detection of high-uptake regions on dedicated breast PET and whole-body PET/CT
AU - Minoura, Natsuki
AU - Teramoto, Atsushi
AU - Ito, Akari
AU - Yamamuro, Osamu
AU - Nishio, Masami
AU - Saito, Kuniaki
AU - Fujita, Hiroshi
N1 - Publisher Copyright:
© 2019, Japanese Society of Radiological Technology and Japan Society of Medical Physics.
PY - 2019/9/1
Y1 - 2019/9/1
N2 - In this study, we aimed to develop a hybrid method for automated detection of high-uptake regions in the breast and axilla using dedicated breast positron-emission tomography (db PET) and whole-body PET/computed tomography (CT) images. In our proposed method, high-uptake regions in the breast and axilla were detected using db PET images and whole-body PET/CT images. In db PET images, high-uptake regions in the breast were detected using adaptive thresholding technique based on the noise characteristics. In whole-body PET/CT images, the region of the breast that includes the axilla was first extracted using CT images. Next, high-uptake regions in the extracted breast region were detected on the PET images. By integration of the results of the two types of PET images, a final candidate region was obtained. In the experiments, the accuracy of extracting the region of the breast and detection ability was evaluated using clinical data. As a result, all breast regions were extracted correctly. The sensitivity of detection was 0.765, and the number of false positive cases were 1.8, which was 30% better than those on whole-body PET/CT alone. These results suggested that the proposed method, combining the two types of PET images is effective for improving detection performance.
AB - In this study, we aimed to develop a hybrid method for automated detection of high-uptake regions in the breast and axilla using dedicated breast positron-emission tomography (db PET) and whole-body PET/computed tomography (CT) images. In our proposed method, high-uptake regions in the breast and axilla were detected using db PET images and whole-body PET/CT images. In db PET images, high-uptake regions in the breast were detected using adaptive thresholding technique based on the noise characteristics. In whole-body PET/CT images, the region of the breast that includes the axilla was first extracted using CT images. Next, high-uptake regions in the extracted breast region were detected on the PET images. By integration of the results of the two types of PET images, a final candidate region was obtained. In the experiments, the accuracy of extracting the region of the breast and detection ability was evaluated using clinical data. As a result, all breast regions were extracted correctly. The sensitivity of detection was 0.765, and the number of false positive cases were 1.8, which was 30% better than those on whole-body PET/CT alone. These results suggested that the proposed method, combining the two types of PET images is effective for improving detection performance.
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U2 - 10.1007/s12194-019-00516-8
DO - 10.1007/s12194-019-00516-8
M3 - Article
C2 - 31129787
AN - SCOPUS:85067683532
SN - 1865-0333
VL - 12
SP - 260
EP - 267
JO - Radiological Physics and Technology
JF - Radiological Physics and Technology
IS - 3
ER -