Radiological Physics and Technology, a quarterly journal devoted to continuing medical education in the radiological sciences, is the official journal of the Japan Society of Medical Physics and the Japanese Society of Radiological Technology (published in English).
http://link.springer.com/journal/12194
RPT Editorial Committee
Deputy Editors
- Katsuhiro Ichikawa, PhD
- Toshiaki Miyati, PhD
- Takeji Sakae, PhD
- Shiraishi Junji, PhD
- Taiga Yamaya, PhD
- Shiraishi Junji, PhD
- Yoichi Watanabe, PhD
- Noriyuki Kadoya, PhD
| Editor in Chief | Nobuyuki Kanematsu, PhD (QST) |
|---|---|
| Senior Advisers |
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Toward Getting IF
The Impact Factor (IF) is an indicator of how many citations an article has received, and is published annually by Clarivate Analytics for selected journals [1-3]. Until now, IFs were only assigned to journals included in the company’s database, the Science Citation Index Expanded (SCIE). However, starting from 2023, IFs will also be officially assigned to journals included in the Emerging Sources Citation Index (ESCI), the database in which RPT is included. The IF value for RPT in 2023 was 1.7. To increase the IF value in the future, it is essential to further boost the number of citations.
As a journal with an IF, we expect an increase in submissions of excellent academic papers, and RPT aims to be even more highly regarded on an international scale. Achieving this goal requires your active contribution. Please submit your outstanding research results to RPT and cite recently published papers in your academic work to help enhance the impact of your research.
- Saki KASAI「Obtaining an Impact Factor: Radiological Physics and Technology」
- Kunio DOI「Radiological Physics and Technology (RPT): Current Status and its Future」
- Masahiro ENDO「Cited and non-cited Articles: From the Analysis of Articles Published in RPT and Others」
- Nobuyuki KANEMATSU「Manuscript preparation guide for Radiological Physics and Technology」
List of citations for papers published in RPT
The Impact Factor (IF) is calculated from the number of citations for the two years following the year of publication and the year after that.
The list of the number of citations for papers published in each year is as follows
(update at May 29, 2024)
journals published in 2024 journals published in 2023 journals published in 2022 journals published before 2021
How to browse RPT online journal
The international journal “Radiological Physics and Technology” (RPT) is delivered to JSMP members twice a year as a booklet (issued on January 20th and July 20th). In addition, it is also published as an online journal that is published online as soon as each article is accepted, making the latest articles available worldwide.
Procedure to use RPT online journal
- Access JSMP top page
- On the left side of Top page, you can find [My Page] and click it. Enter your membership number and password. (If you do not know the password, please click inquiry function on the login screen.)
- Access online journal from “View Journal「ジャーナルの閲覧」”
Doi Award (土井賞)
The Doi Award recognizes outstanding papers in each field for each volume of RPT.
| Vol. (Year) | Field | First Auther | Title |
|---|---|---|---|
| Vol.16(2023) | Medical Imaging | Akihiro Narita | Method for measuring noise-power spectrum independent of the effect of extracting the region of interest from a noise image |
| Nuclear medicine / Magnetic resonance imaging | Munetaka Nitta | Discrimination of inter-crystal scattering events by signal processing for the X’tal cube PET detector | |
| Radiation Therapy | Kohei Oguma | Virtual clinical trial based on outcome modeling with iteratively redistributed extrapolation data | |
| Vol.15 (2022) | Diagnostic Imaging | Takayuki Okamoto | Patch-based artifact reduction for three-dimensional volume projection data of sparse-view micro-computed tomography |
| Nuclear Medicine,MRI and Informatics | Yuma Iwao | Marker-less and calibration-less motion correction method for brain PET | |
| Radiation Therapy Physics | Akihiro Nohtomi | First optical observation of 10B-neutron capture reactions using a boron-added liquid scintillator for quality assurance in boron neutron capture therapy | |
| Vol.14(2021) | Diagnostic Imaging | Takafumi Nemoto | Effects of sample size and data augmentation on U-Net-based automatic segmentation of various organs |
| Nuclear medicine / Magnetic resonance imaging | Keisuke Matsubara | Iterative framework for image registration and partial volume correction in brain positron emission tomography | |
| Radiation metrology / Radiation therapy physics | Megumi Oya | Investigation of clinical target volume segmentation for whole breast irradiation using three-dimensional convolutional neural networks with gradient-weighted class activation mapping | |
| Vol.13 (2020) | Diagnostic Imaging | Yuya Onishi | Investigation of Pulmonary Nodule Classification Using Multi-Scale Residual Network Enhanced with 3DGAN-Synthesized Volumes |
| Nuclear Medicine,MRI and Informatics | Kazuki Motegi | 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 | |
| Radiation Therapy Physics | Yoshiro Ieko | The impact of 4DCT-ventilation imaging-guided proton therapy on stereotactic body radiotherapy for lung cancer | |
| Vol.12(2019) | Diagnostic Imaging | Masatoshi Saito | Simulation of photon-counting detectors for conversion of dual-energysubtracted computed tomography number to electron density. |
| Nuclear Medicine,MRI and Informatics | Natsuki Minoura | A complementary scheme for automated detection of high‑uptake regions on dedicated breast PET and whole‑body PET/CT. | |
| Radiation Therapy Physics | Noriyuki Kadoya | Evaluation of a 3D-printed heterogeneous anthropomorphic head and neck phantom for patient-specific quality assurance in intensitymodulated radiation therapy | |
| Vol.11 (2018) | Diagnostic Imaging | Chiaki Tominaga | Tilted-wire method for measuring resolution properties of CT images under extremely low-contrast and high-noise conditions |
| Nuclear Medicine,MRI and Informatics | Chiharu Kai | Computer-aided diagnosis with radiogenomics: Analysis of the relationship between genotype and morphological changes in brain magnetic resonance images | |
| Radiation Therapy Physics | Nobuyuki Kanematsu | Estimation of linear energy transfer distribution for broad-beam carbon-ion radiotherapy at the National Institute of Radiological Sciences | |
| Vol.10 (2017) | Diagnostic Imaging | Sayed Ahmad Zikri Bin Sayed Aluwee | Evaluation of pre-surgical models for uterine surgery by use of three-dimensional printing and mold casting |
| Nuclear Medicine,MRI and Informatics | Nobuyuki Kudomi | Fully parametric imaging with reversible tracer 18F-FLT within a reasonable time | |
| Radiation Therapy Physics | Fumio Hashimoto | Dose reduction technique in diagnostic X-ray computed tomography by use of 6-channel multileaf collimators | |
| Vol.9 (2016) | Diagnostic Imaging | Tomomi Takenaga | A computer simulation method for low-dose CT images by use of real high-dose images: a phantom study |
| Nuclear Medicine,MRI and Informatics | Koya Fujimoto | Automatic ROI construction for analyzing time-signal intensity curve in dynamic contrast-enhanced MR imaging of the breast | |
| Radiation Therapy Physics | Kazuki Takegami | Energy dependence measurement of small-type optically stimulated luminescence (OSL) dosimeter by means of characteristic X-rays induced with general diagnostic X-ray equipment | |
| Vol.8 (2016) | Radiation Therapy Physics | Genichiro Wakabayashi | Applicability of self-activation of an NaI scintillator for measurement of photo-neutrons around a high-energy X-ray radiotherapy machine |
| Nuclear Medicine,MRI and Informatics | Seiji Shirakawa | Attenuation correction of 111In planar images by use of dual energy, fundamental study by Monte Carlo simulation | |
| Diagnostic Imaging | Kazuhiro Sato | Aliased noise in X-ray CT images and band-limiting processing as a preventive measure | |
| Vol.7 (2015) | Diagnostic Imaging | Xiangrong Zhou | Development and evaluation of statistical shape modeling for principal inner organs on torso CT images. |
| Nuclear Medicine,MRI and Informatics | Harumasa Kasai | A method for assessing metabolic information on liver and bone marrow by use of double gradient-echo with spectral fat suppression. | |
| Radiation Therapy Physics | Hiroyuki Date | A formulation of cell surviving fraction after radiation exposure. | |
| Vol.6 (2014) | Diagnostic Imaging | Risa Toge | Computerized image-searching method for finding correct patients for misfiled chest radiographs in a PACS server by use of biological fingerprints |
| Radiation Therapy Physics | Mutsumi Tashiro | Technical approach to individualized respiratory-gated carbon-ion therapy for mobile organs | |
| Nuclear Medicine,MRI and Informatics | Yoshiyuki Ishimori | Feasibility of MR perfusion-weighted imaging by use of a time-spatial labeling inversion pulse | |
| Vol.5 (2013) | Diagnostic Imaging | Naoki Kamiya | Automated segmentation of psoas major muscle in X-ray CT images by use of a shape model: preliminary study |
| Radiation Therapy Physics | Satoshi Kida | In-treatment 4D cone-beam CT with image-based respiratory phase recognition | |
| Nuclear Medicine,MRI and Informatics | Kazumasa Inoue | Optimization of injection dose based on noise-equivalent count rate with use of an anthropomorphic pelvis phantom in three-dimensional 18F-FDG PET/CT | |
| Vol.4 (2012) | Diagnostic Imaging | Eiichiro Okumura | 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 |
| Radiation Therapy Physics | Kenya Murase | Simulation and experimental studies on magnetic hyperthermia with use of superparamagnetic iron oxide nanoparticles | |
| Nuclear Medicine,MRI and Informatics | Daiki Magome | Automated segmentation method of white matter and gray matter regions with multiple sclerosis lesions in MR images | |
| Vol.3 (2011) | Nuclear Medicine,MRI and Informatics | Tomoyuki Hasegawa | Creation and application of three-dimensional computer-graphic animations for introduction to radiological physics and technology |
| Radiation Therapy Physics | Shinichiro Mori | Practical approaches to four-dimensional heavy-charged-particle lung therapy | |
| Diagnostic Imaging | Takashi Ohnishi | Three-dimensional motion study of femur, tibia, and patella at the knee joint from bi-plane fluoroscopy and CT images | |
| Vol.2 (2010) | Diagnostic Imaging | Toshihiro Ogura | Study of intra-abdominal fat distribution in sigmoid colon cancer in Japanese patients by use of MDCT data |
| Radiation Therapy Physics and Health Physics | Toshioh Fujibuchi | Measurement of therma l neutron f luence distribution with use of 23Na radioactivation around a medical compact cyclotron | |
| Nuclear Medicine,MRI and Informatics | Taiga Yamaya | Imaging simulations of an “OpenPET” geometry with shifting detector rings | |
| Vol.1 (2009) | Diagnostic Imaging | Rie Tanaka | Development of a cardiac evaluation method using a dynamic flat-panel detector (FPD) system: a feasibility study using a cardiac motion phantom |
| Radiation Therapy Physics and Health Physics | Teiji Nishio | Experimental verification of proton beam monitoring in a human body by use of activity image of positron-emitting nuclei generated by nuclear fragmentation reaction | |
| Nuclear Medicine,MRI and Informatics | Hideaki Haneishi | Simplified simulation of four-layer depth of interaction detector for PET |
Most Citation Award
The Most Citation Award recognizes most cited papers of each volume of RPT during two years after the publication.
| Vol. (Year) | Authors | Paper Title |
|---|---|---|
| Vol.13 (2020) | Hiroshi Fujita | AI-based computer-aided diagnosis (AI-CAD): the latest review to read first” Radiol Phys Technol 13, 6–19 (2020). |
| Ayaka Sakai, Yuya Onishi, Misaki Matsui, Hidetoshi Adachi, Atsushi Teramoto, Kuniaki Saito, Hiroshi Fujita | A method for the automated classification of benign and malignant masses on digital breast tomosynthesis images using machine learning and radiomic features. Radiol Phys Technol 13, 27–36 (2020) | |
| Yohei Inaba, Koichi Chiba, Yuuki Murabayashi, Mime Endo,Kazuki Otomo, Masayuki Zuguchi | An initial investigation of a wireless patient radiation dosimeter for use in interventional radiology” Radiol Phys Technol 13, 321–326 (2020) | |
| Tatsunori Saho, Hideo Onishi | Quantitative comparison of hemodynamics in simulated and 3D angiography models of cerebral aneurysms by use of computational fluid dynamics” Radiol Phys Technol 8, 258–265 (2015) | |
| Vol.12 (2019) | Kaji Shizuo, Kida Satoshi | Overview of image-to-image translation by use of deep neural networks: denoising, super-resolution, modality conversion, and reconstruction in medical imaging. 12, 235-248(2019) |
| Malekzadeh Reza, Mehnati Parinaz, Sooteh Mohammad Yousefi, Mesbahi Asghar | Influence of the size of nano- and microparticles and photon energy on mass attenuation coefficients of bismuth-silicon shields in diagnostic radiology. 12, 325-334(2019) | |
| Hashimoto Fumio, Kakimoto Akihiro, Ota Nozomi, Ito Shigeru, Nishizawa Sadahiko | Automated segmentation of 2D low- dose CT images of the psoas-major muscle using deep convolutional neural networks. 12, 210-215(2019) | |
| Vol.11 (2018) | Haga Akihiro, Wataru Takahashi, Shuri Aoki, Kanabu Nawa, Hideomi Yamashita, Osamu Abe, Keiichi Nakagawa | Classification of early stage non-small cell lung cancers on computed tomographic images into histological types using radiomic features: interobserver delineation variability analysis. 11, 27–35(2018) |
| Toshiyuki Terunuma, Aoi Tokui, Takeji Sakae | Novel real-time tumor-contouring method using deep learning to prevent mistracking in X-ray fluoroscopy. 11, 43–53(2018) | |
| Kajikawa Tomohiro, Noriyuki Kadoya, Kengo Ito, Yoshiki Takayama, Takahiro Chiba, Seiji Tomori, Ken Takada, Keiichi Jingu | Automated prediction of dosimetric eligibility of patients with prostate cancer undergoing intensity- modulated radiation therapy using a convolutional neural network. 11, 320–327(2018) | |
| Vol.10 (2017) | Kenji Suzuki | Overview of deep learning in medical imaging.10, 257–273(2017) |
| Bram van Ginneken | Fifty years of computer analysis in chest imaging:rule-based, machine learning, deep learning.10, 23–32(2017) | |
| Katsuyuki Taguchi | Energy-sensitive photon counting detector-based X-ray computed tomography. 10, 8–22(2017) | |
| Vol.9 (2016) | Nobuyuki Miyahara, Toshiaki Kokubo, Yukihiro Hara, Ayuta Yamada, Takafumi Koike, Yoshihori Arai | Evaluation of X-ray doses and their corresponding biological effects on experimental animals in cone-beam micro-CT scans. 9, 60–68(2016) |
| Rie Tanaka | Dynamic chest radiography: flat-panel detector (FPD) based functional X-ray imaging. 9, 139–53(2016) | |
| Vol.8 (2015) | Tomomi Takenaga, Shigehiko Katsuragawa, Makoto Goto, Masahiro Hatemura, Yoshikazu Uchiyama, Junji Shiraishi | Modulation transfer function measurement of CT images by use of a circular edge method with a logistic curve-fitting technique. 8, 53–59(2015) |
| Kazuki Takegami, Hiroaki Hayashi, Hiroki Okino, Natsumi Kimoto, Itsumi Maehata, Yuki Kanazawa, Tohru Okazaki, Ikuo Kobayashi | Practical calibration curve of small-type optically stimulated luminescence (OSL) dosimeter for evaluation of entrance skin dose in the diagnostic X-ray region. 8, 286–294(2015) | |
| Keiko Morikawa, Fumito Okada, Hiromu Mori | Expiratory computed tomographic techniques: A cause of a poor rate of change in lung volume. 8, 153–159(2015) | |
| Vol.7 (2014) | Takeshi Oono, Fujio Araki, Shoya Tsuduki, Keiichi Kawasaki | Monte Carlo calculation of patient organ doses from computed tomography. 7, 176–182(2014) |
| Atsushi Urikura, Katsuhiko Ichikawa, Takanori Hara, Eiji Nishimaru, | Spatial resolution measurement for iterative reconstruction by use of image-averaging techniques in computed tomography. 7, 358–366(2014) | |
| Hiroshige Mori, Kichiro Koshida, Osamu Ishigamori, Kosuke Matsubara | Evaluation of the effectiveness of X-ray protective aprons in experimental and practical fields. 7, 158–166(2014) |
Outstanding Reviewer Award
The Outstanding Reviewer Award recognizes outstanding reviewers for each volume of RPT.
| Vol. (Year) | Outstanding Reviewers |
|---|---|
| Vol.15 (2020) | 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 | |
| Vol.14 (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 | |
| Vol.13 (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 | |
| Vol.12 (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 |