Radiological Physics and Technology - Award Winners
Recipients of Doi Awards for the RPT
2023
- Method for measuring noise-power spectrum independent of the effect of extracting the region of interest from a noise image (by Akihiro Narita et al.)
- Discrimination of inter-crystal scattering events by signal processing for the X’tal cube PET detector (by Munetaka Nitta et al.)
- Virtual clinical trial based on outcome modeling with iteratively redistributed extrapolation data (by Kohei Oguma et al.)
2022
- Patch-based artifact reduction for three-dimensional volume projection data of sparse-view micro-computed tomography. (by Takayuki Okamoto et al.)
- Marker-less and calibration-less motion correction method for brain PET. (by Yuma Iwao et al.)
- First optical observation of 10B-neutron capture reactions using a boron-added liquid scintillator for quality assurance in boron neutron capture therapy. (by Akihiro Nohtomi et al.)
2021
- Effects of sample size and data augmentation on U-Net-based automatic segmentation of various organs (by Takafumi Nemoto et al.)
- Iterative framework for image registration and partial volume correction in brain positron emission tomography (by Keisuke Matsubara et al. for the Alzheimer’s Disease Neuroimaging Initiative) Open access
- Investigation of clinical target volume segmentation for whole breast irradiation using three-dimensional convolutional neural networks with gradient-weighted class activation mapping (by Megumi Oya et al.)
2020
- Investigation of Pulmonary Nodule Classification Using Multi-Scale Residual Network Enhanced with 3DGAN-Synthesized Volumes (by Yuya Onishi et al.)
- Evaluation of bone metastasis burden as an imaging biomarker by quantitative single-photon emission computed tomography/computed tomography for assessing prostate cancer with bone metastasis: a phantom and clinical study (by Kazuki Motegi et al.)
- The impact of 4DCT-ventilation imaging-guided proton therapy on stereotactic body radiotherapy for lung cancer (by Yoshiro Ieko et al.)
2019
- Simulation of photon-counting detectors for conversion of dual-energysubtracted computed tomography number to electron density (by Masatoshi Saito)
- A complementary scheme for automated detection of high‑uptake regions on dedicated breast PET and whole‑body PET/CT (by Natsuki Minoura et al.)
- Evaluation of a 3D-printed heterogeneous anthropomorphic head and neck phantom for patient-specific quality assurance in intensitymodulated radiation therapy (by Noriyuki Kadoya et al.)
2018
- Tilted-wire method for measuring resolution properties of CT images under extremely low- contrast and high-noise conditions (by Chiaki Tominaga et al.)
- Computer-aided diagnosis with radiogenomics: analysis of the relationship between genotype and morphological changes in brain magnetic resonance images (by Chiharu Kai et al.)
- Estimation of linear energy transfer distribution for broad-beam carbon-ion radiotherapy at the National Institute of Radiological Sciences, Japan (by Nobuyuki Kanematsu et al.)
2017
- Evaluation of pre-surgical models for uterine surgery by use of three-dimensional printing and mold casting (by Sayed Ahmad Zikri Bin Sayed Aluwee et al.)
- Fully parametric imaging with reversible tracer 18F-FLT within a reasonable time (by Nobuyuki Kudomi)
- Dose reduction technique in diagnostic X-ray computed tomography by use of 6-channel multileaf collimators (by Fumio Hashimoto)
2016
- A computer simulation method for low-dose CT images by use of real high-dose images: a phantom study (by Tomomi Takenaga et al.)
- Automatic ROI construction for analyzing time-signal intensity curve in dynamic contrast-enhanced MR imaging of the breast (by Koya Fujimoto et al.)
- Energy dependence measurement of small-type optically stimulated luminescence (OSL) dosimeter by means of characteristic X-rays induced with general diagnostic X-ray equipment (by Kazuki Takegami et al.)
2015
- Aliased noise in X-ray CT images and band-limiting processing as a preventive measure (by Kazuhiro Sato et al.)
- Attenuation correction of 111In planar images by use of dual energy, fundamental study by Monte Carlo simulation (by Seiji Shirakawa et al.)
- Applicability of self-activation of an NaI scintillator for measurement of photo-neutrons around a high-energy X-ray radiotherapy machine (by Genichiro Wakabayashi et al.)
2014
- Development and evaluation of statistical shape modeling for principal inner organs on torso CT images (by Xiangrong Zhou et al.)
- A method for assessing metabolic information on liver and bone marrow by use of double gradient-echo with spectral fat suppression (by Harumasa Kasai et al.)
- A formulation of cell surviving fraction after radiation exposure (by Hiroyuki Date et al.)
2013
- Computerized image-searching method for finding correct patients for misfiled chest radiographs in a PACS server by use of biological finger prints (by Risa Toge et al.)
- Feasibility of MR perfusion-weighted imaging by use of a time-spatial labeling inversion pulse (by Yoshiyuki Ishimori et al.)
- Technical approach to individualized respiratory-gated carbon-ion therapy for mobile organs (by Mutsumi Tashiro et al.)
2012
- Automated segmentation of psoas major muscle in X-ray CT images by use of a shape model: preliminary study (by Naoki Kamiya et al.)
- In-treatment 4D cone-beam CT with image-based respiratory phase recognition (by Satoshi Kida et al.)
- Optimization of injection dose based on noise-equivalent count rate with use of an anthropomorphic pelvis phantom in three-dimensional 18F-FDG PET/CT (by Kazumasa Inoue et al.)
2011
- Effectiveness of temporal and dynamic subtraction images of the liver for detection of small HCC on abdominal CT images: comparison of 3D nonlinear image-warping and 3D global-matching techniques (by Eiichiro Okumura et al.)
- Simulation and experimental studies on magnetic hyperthermia with use of superparamagnetic iron oxide nanoparticles (by Kenya Murase et al.)
- Automated segmentation method of white matter and gray matter regions with multiple sclerosis lesions in MR images (by Taiki Magome et al.)
2010
- Creation and application of three-dimensional computer-graphic animations for introduction to radiological physics and technology (by Tomoyuki Hasegawa et al.)
- Practical approaches to four-dimensional heavy-charged-particle lung therapy (by Shinichiro Mori et al.)
- Three-dimensional motion study of femur, tibia, and patella at the knee joint from bi-plane fluoroscopy and CT images (by Takashi Ohnishi et al.)
2009
- Study of intra-abdominal fat distribution in sigmoid colon cancer in Japanese patients by use of MDCT data (by Toshihiro Ogura et al.)
- Measurement of thermal neutron fluence distribution with use of 23Na radioactivation around a medical compact cyclotron (by Toshioh Fujibuchi et al.)
- Imaging simulations of an “OpenPET” geometry with shifting detector rings (by Taiga Yamaya et al.)
2008
- Development of a cardiac evaluation method using a dynamic flat-panel detector (FPD) system: a feasibility study using a cardiac motion phantom (by Rie Tanaka et al.)
- Experimental verification of proton beam monitoring in a human body by use of activity image of positron-emitting nuclei generated by nuclear fragmentation reaction (by Teiji Nishio et al.)
- Simplified simulation of four-layer depth of interaction detector for PET (by Hideaki Haneishi et al.)
Recipients of Most Citation Awards for the RPT
2023
- Segmentation of teeth in panoramic dental X-ray images using U-Net with a loss function weighted on the tooth edge (by Yuya Nishitani et al.)
- Discovery of the luminescence of water during irradiation of radiation at a lower energy than the Cherenkov light threshold (by Seiichi Yamamoto)
- Photon counting detectors and their applications ranging from particle physics experiments to environmental radiation monitoring and medical imaging (by Ryosuke Ota)
2022
- AI-based computer-aided diagnosis (AI-CAD): the latest review to read first (by Hiroshi Fujita)
- A method for the automated classification of benign and malignant masses on digital breast tomosynthesis images using machine learning and radiomic features (by Ayaka Sakai et al.)
- An initial investigation of a wireless patient radiation dosimeter for use in interventional radiology. (by Yohei Inaba et al.)
2021
- Overview of image-to-image translation by use of deep neural networks: denoising, super-resolution, modality conversion, and reconstruction in medical imaging (by Shizuo Kaji & Satoshi Kida)
- Influence of the size of nano- and microparticles and photon energy on mass attenuation coefficients of bismuth–silicon shields in diagnostic radiology (by Reza Malekzadeh et al.)
- Automated segmentation of 2D low-dose CT images of the psoas-major muscle using deep convolutional neural networks (by Fumio Hashimoto et al.)
2020
- Classification of early stage non-small cell lung cancers on computed tomographic images into histological types using radiomic features: interobserver delineation variability analysis (by Akihiro Haga et al.)
- Novel real-time tumor-contouring method using deep learning to prevent mistracking in X-ray fluoroscopy (by Toshiyuki Terunuma et al.)
- Automated prediction of dosimetric eligibility of patients with prostate cancer undergoing intensity- modulated radiation therapy using a convolutional neural network (by Tomohiro Kajikawa et al.)
2019
- Overview of deep learning in medical imaging (by Kenji Suzuki)
- Fifty years of computer analysis in chest imaging: rule-based, machine learning, deep learning (by Bram van Ginneken) Open access
- Energy-sensitive photon counting detector-based X-ray computed tomography (by Katsuyuki Taguchi)
2018
- Evaluation of X-ray doses and their corresponding biological effects on experimental animals in cone-beam micro-CT scans (by Nobuyuki Miyahara et al.) Open access
- Dynamic chest radiography: flat-panel detector (FPD) based functional X-ray imaging (by Rie Tanaka)
2017
- Modulation transfer function measurement of CT images by use of a circular edge method with a logistic curve-fitting technique (by Tomomi Takenaga et al.)
- Practical calibration curve of small-type optically stimulated luminescence (OSL) dosimeter for evaluation of entrance skin dose in the diagnostic X-ray region (by Kazuki Takegami et al.)
- Quantitative comparison of hemodynamics in simulated and 3D angiography models of cerebral aneurysms by use of computational fluid dynamics. (by Tatsunori Saho & Hideo Onishi)
2016
- Monte Carlo calculation of patient organ doses from computed tomography (by Takeshi Oono et al.)
- Spatial resolution measurement for iterative reconstruction by use of image-averaging techniques in computed tomography (by Atsushi Urikura et al.)
- Evaluation of the effectiveness of X-ray protective aprons in experimental and practical fields (by Hiroshige Mori et al.)
Recipients of Outstanding Reviewer Awards
2023
- Akram Hamato, National Institutes for Quantum Science and Technology
- Tatsuya Inoue, Juntendo University
- Hiroyuki Kabasawa, International University of Health and Welfare
- Keisuke Matsubara, Akita Prefectural University
- Eri Matsuyama, University of Fukuchiyama
- Keisuke Yasui, Fujita Health University
2022
- Eleftherios Pappas PhD, National and Kapodistrian University of Athens
- Masatoshi Kondo PhD, Kyushu University
- Weishan Chang PhD, Tokyo Metropolitan University
- Naoki Ohno PhD, Kanazawa University
- Satoshi Ito PhD, Utsunomiya University
- Hiroyuki Kudo PhD, University of Tsukuba
2021
- Hideki Takegawa PhD, Kansai Medical University Hospital
- Yasuo Takatsu PhD, Tokushima Bunri University
- Takashi Ueguchi PhD, National Institute of Information and Communications Technology
- Morihito Shimizu PhD, National Institute of Advanced Industrial Science and Technology
2020
- Mutsumi Tashiro PhD, Heavy Ion Medical Center, Gunma University
- Chisako Muramatsu PhD, Faculty of Data Science, Shiga University
- Pei-Jan Lin PhD, Virginia Commonwealth University Medical Center
- Takashi Hanada PhD, Department of Radiology, Keio University
- Tsutomu Zeniya PhD, Graduate School of Science and Technology, Hirosaki University
- Shunsuke Yonai PhD, Department of Accelerator and Medical Physics, National Institute of Radiological Sciences, QST
2019
- Nobuyuki Kanematsu PhD, Department of Accelerator and Medical Physics, National Institute of Radiological Sciences, QST
- Toru Yamamoto PhD, Faculty of Health Sciences, Hokkaido University
- Kosuke Matsubara PhD, Faculty of Health Sciences, Kanazawa University
- Masanobu Ibaraki PhD, Department of Radiology and Nuclear Medicine, Akita Research Institute of Brain and Blood Vessels
- Satoru Endo PhD, Academy of Science and Technology, Hiroshima University