سامانه مدیریت نشریات علمی دانشگاه علوم پزشکی مشهد

Ueda, Tomohiro, Yamshita, Kousuke, Kawazoe, Retsu, Sayawaki, Yuta, Morisawa, Yoshiki, Kamezaki, Ryosuke, Ikeda, Ryuji, Shiraishi, Shinya, Uchiyama, Yoshikazu, Ito, Shigeki. (1403). Feasibility of direct brain 18F-fluorodeoxyglucose-positron emission tomography attenuation and high-resolution correction methods using deep learning. , 12(2), 108-119. doi: 10.22038/aojnmb.2024.74875.1522
Tomohiro Ueda; Kousuke Yamshita; Retsu Kawazoe; Yuta Sayawaki; Yoshiki Morisawa; Ryosuke Kamezaki; Ryuji Ikeda; Shinya Shiraishi; Yoshikazu Uchiyama; Shigeki Ito. "Feasibility of direct brain 18F-fluorodeoxyglucose-positron emission tomography attenuation and high-resolution correction methods using deep learning". , 12, 2, 1403, 108-119. doi: 10.22038/aojnmb.2024.74875.1522
Ueda, Tomohiro, Yamshita, Kousuke, Kawazoe, Retsu, Sayawaki, Yuta, Morisawa, Yoshiki, Kamezaki, Ryosuke, Ikeda, Ryuji, Shiraishi, Shinya, Uchiyama, Yoshikazu, Ito, Shigeki. (1403). 'Feasibility of direct brain 18F-fluorodeoxyglucose-positron emission tomography attenuation and high-resolution correction methods using deep learning', , 12(2), pp. 108-119. doi: 10.22038/aojnmb.2024.74875.1522
Ueda, Tomohiro, Yamshita, Kousuke, Kawazoe, Retsu, Sayawaki, Yuta, Morisawa, Yoshiki, Kamezaki, Ryosuke, Ikeda, Ryuji, Shiraishi, Shinya, Uchiyama, Yoshikazu, Ito, Shigeki. Feasibility of direct brain 18F-fluorodeoxyglucose-positron emission tomography attenuation and high-resolution correction methods using deep learning. , 1403; 12(2): 108-119. doi: 10.22038/aojnmb.2024.74875.1522

Feasibility of direct brain 18F-fluorodeoxyglucose-positron emission tomography attenuation and high-resolution correction methods using deep learning

Asia Oceania Journal of Nuclear Medicine and Biology
مقاله 2، دوره 12، شماره 2، مهر 2024، صفحه 108-119    اصل مقاله (1.66 M)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.22038/aojnmb.2024.74875.1522
نویسندگان
Tomohiro Ueda* 1؛ Kousuke Yamshita1؛ Retsu Kawazoe1؛ Yuta Sayawaki1؛ Yoshiki Morisawa1؛ Ryosuke Kamezaki2؛ Ryuji Ikeda3؛ Shinya Shiraishi4؛ Yoshikazu Uchiyama5؛ Shigeki Ito6
1Graduate School of Health Sciences, Kumamoto University, Japan
22Kumamoto University Hospital, Japan
3Department of Central Radiology Kumamoto University Hospital, Japan
4Department of Diagnostic Radiology, Faculty of Life Sciences,Kumamoto University, Japan
5Department of Information and Communication Technology, Faculty of Engineering, University of Miyazaki, Japan
6Department of Medical Radiation Sciences, Faculty of Life Sciences, Kumamoto University, Japan
چکیده
Objective(s): To develop the following three attenuation correction (AC) methods for brain 18F-fluorodeoxyglucose-positron emission tomography (PET), using deep learning, and to ascertain their precision levels: (i) indirect method; (ii) direct method; and (iii) direct and high-resolution correction (direct+HRC) method.
Methods: We included 53 patients who underwent cranial magnetic resonance imaging (MRI) and computed tomography (CT) and 27 patients who underwent cranial MRI, CT, and PET. After fusion of the magnetic resonance, CT, and PET images, resampling was performed to standardize the field of view and matrix size and prepare the data set. In the indirect method, synthetic CT (SCT) images were generated, whereas in the direct and direct+HRC methods, a U-net structure was used to generate AC images. In the indirect method, attenuation correction was performed using SCT images generated from MRI findings using U-net instead of CT images. In the direct and direct+HRC methods, AC images were generated directly from non-AC images using U-net, followed by image evaluation. The precision levels of AC images generated using the indirect and direct methods were compared based on the normalized mean squared error (NMSE) and structural similarity (SSIM).
Results: Visual inspection revealed no difference between the AC images prepared using CT-based attenuation correction and those prepared using the three methods. The NMSE increased in the order indirect, direct, and direct+HRC methods, with values of 0.281×10-3, 4.62×10-3, and 12.7×10-3, respectively. Moreover, the SSIM of the direct+HRC method was 0.975.
Conclusion: The direct+HRC method enables accurate attenuation without CT exposure and high-resolution correction without dedicated correction programs.
کلیدواژه‌ها
Brain PET؛ Attenuation correction؛ High-resolution correction؛ DCNN
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