Morinomiya University of Medical Sciences · Faculty of Medical Technology

Research keywordsPET imaging・attenuation correction・deep learning・respiratory gating・nuclear cardiology・low-dose CT・medical imaging

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• 論文 Generating PET Attenuation Maps via Sim2Real Deep Learning–Based Tissue Composition Estimation Combined with MLACF. Journal of Imaging Informatics in Medicine 37,167-179頁 （共著） 2024/012024 · 論文
• 論文 Impact of respiratory gating and ECG gating on 18F-FDG PET/CT for cardiac sarcoidosis. Journal of Nuclear Cardiology 30(5),1879-1885頁 （共著） 2023/032023 · 論文
• 論文 Pulmonary nodule volumetric accuracy of a deep learning-based reconstruction algorithm in low-dose computed tomography: A phantom study. Physica medica : PM : an international journal devoted to the applications of physics to medicine an 104,1-9頁 （共著） 2022/112022 · 論文
• 論文 Initial evaluation of a new maximum-likelihood attenuation correction factor-based attenuation correction for time-of-flight brain PET. Annals of nuclear medicine 36(4),420-426頁 （共著） 2022/022022 · 論文

• deep learningを利用した新たなbolus tracking法の開発

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