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Radiological Physics and Technology|October 23, 2024
Deep learning-based approach for acquisition time reduction in ventilation SPECT in patients after lung transplantationMasahiro Nakashima, Ryohei Fukui, Seiichiro Sugimoto, et al.
Radiological Physics and Technology|August 3, 2024
Two-step optimization for accelerating deep image prior-based PET image reconstructionFumio Hashimoto, Yuya Onishi, Kibo Ote, et al.
Radiological Physics and Technology|May 23, 2025
Generalizable AI approach for detecting projection type and left-right reversal in chest X-raysYukino Ohta, Yutaka Katayama, Takao Ichida, et al.
Radiological Physics and Technology|May 13, 2025
Development of a tissue water fraction analysis method using quantitative parameter mapping for magnetic resonance imagingShunsuke Uotani, Yuki Kanazawa, Akihiro Haga, et al.
Radiological Physics and Technology|May 12, 2025
Impact of discrepancies between CT numbers of brain-tissue-equivalent density plug and actual brain tissue on dose calculation accuracyShogo Tsunemine, Shuichi Ozawa, Minoru Nakao, et al.
Radiological Physics and Technology|April 29, 2025
Investigation of imaging conditions for dental MRI using 3T-MRI system with microscopy coil in clinical situationToshiyuki Zaike, Shinya Kotaki, Marino Araragi, et al.
Radiological Physics and Technology|April 1, 2025
Enhanced urethral identification for radiotherapy planning using fat-suppressed 3D T2-weighted magnetic resonance imagingYutaka Kato, Takayoshi Nakaya, Kuniyasu Okudaira, et al.
Radiological Physics and Technology|April 4, 2025
Scatter and beam hardening effect corrections in pelvic region cone beam CT images using a convolutional neural networkSoya Yagi, Keisuke Usui, Koichi Ogawa
Radiological Physics and Technology|March 12, 2025
Initial demonstration of the Scratch-PET concept: an intraoperative PET with a hand-held detectorTaiyo Ishikawa, Yuma Iwao, Go Akamatsu, et al.
Radiological Physics and Technology|June 8, 2024
Verification of image quality improvement by deep learning reconstruction to 1.5 T MRI in T2-weighted images of the prostate glandYoshiomi Sato, Kiyoshi Ohkuma
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