Feasibility of direct brain ۱۸F-fluorodeoxyglucose-positron emission tomography attenuation and high-resolution correction methods using deep learning
- سال انتشار: 1403
- محل انتشار: مجله پزشکی هسته ای و زیست شناسی آسیا اقیانوسیه، دوره: 12، شماره: 2
- کد COI اختصاصی: JR_JNMB-12-2_002
- زبان مقاله: انگلیسی
- تعداد مشاهده: 33
نویسندگان
Graduate School of Health Sciences, Kumamoto University, Japan
Graduate School of Health Sciences, Kumamoto University, Japan
Graduate School of Health Sciences, Kumamoto University, Japan
Graduate School of Health Sciences, Kumamoto University, Japan
Graduate School of Health Sciences, Kumamoto University, Japan
۲Kumamoto University Hospital, Japan
Department of Central Radiology Kumamoto University Hospital, Japan
Department of Diagnostic Radiology, Faculty of Life Sciences,Kumamoto University, Japan
Department of Information and Communication Technology, Faculty of Engineering, University of Miyazaki, Japan
Department 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 ۱۸F-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 ۵۳ patients who underwent cranial magnetic resonance imaging (MRI) and computed tomography (CT) and ۲۷ 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 ۰.۲۸۱×۱۰-۳, ۴.۶۲×۱۰-۳, and ۱۲.۷×۱۰-۳, respectively. Moreover, the SSIM of the direct+HRC method was ۰.۹۷۵.Conclusion: The direct+HRC method enables accurate attenuation without CT exposure and high-resolution correction without dedicated correction programs.کلیدواژه ها
Brain PET, Attenuation Correction, high-resolution correction, DCNNاطلاعات بیشتر در مورد COI
COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.
کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.