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Cameron’s impact on space biomedical sciences—expanding insights to Ng and Doi’s article
Cameron’s impact on space biomedical sciences—expanding insights to Ng and Doi’s article
Ng KH, Doi K. John Roderick Cameron: scientist, teacher, mentor, inventor, and philanthropist extraordinaire. Radiol Phys ...
A deep-learning-based scatter correction with water equivalent path length map for digital radiography
A deep-learning-based scatter correction with water equivalent path length map for digital radiography
We proposed a new deep learning (DL) model for accurate scatter correction in digital radiography. The proposed network fe...
Simulation of time–intensity curve based on k-space filling in breast dynamic contrast-enhanced three-dimensional magnetic resonance imaging
Simulation of time–intensity curve based on k-space filling in breast dynamic contrast-enhanced three-dimensional magnetic resonance imaging
This study elucidated the effects of a three-dimensional k-space trajectory incorporating the partial Fourier (PF) techniq...
Assessment of the deep learning-based gamma passing rate prediction system for 1.5 T magnetic resonance-guided linear accelerator
Assessment of the deep learning-based gamma passing rate prediction system for 1.5 T magnetic resonance-guided linear accelerator
Measurement-based verification is impossible for the patient-specific quality assurance (QA) of online adaptive magnetic r...
Monte carlo simulation study on the dose and dose-averaged linear energy transfer distributions in carbon ion radiotherapy
Monte carlo simulation study on the dose and dose-averaged linear energy transfer distributions in carbon ion radiotherapy
Dose-averaged linear energy transfer (LETd) is conventionally evaluated from the relative biological effectiveness (RBE)-L...
New liver window width in detecting hepatocellular carcinoma on dynamic contrast-enhanced computed tomography with deep learning reconstruction
New liver window width in detecting hepatocellular carcinoma on dynamic contrast-enhanced computed tomography with deep learning reconstruction
Changing a window width (WW) alters appearance of noise and contrast of CT images. The aim of this study was to investigat...
Verification of image quality improvement by deep learning reconstruction to 1.5 T MRI in T2-weighted images of the prostate gland
Verification of image quality improvement by deep learning reconstruction to 1.5 T MRI in T2-weighted images of the prostate gland
This study aimed to evaluate whether the image quality of 1.5 T magnetic resonance imaging (MRI) of the prostate ...
Development of a body movement detection system to avoid re-exposure during radiography
Development of a body movement detection system to avoid re-exposure during radiography
During the radiographic examination of the chest and bones in hospitals, communicating and maintaining posture is difficul...
Air inflow into vacuum-type immobilization devices impacts setup errors
Air inflow into vacuum-type immobilization devices impacts setup errors
We aimed to determine the impact of air inflow into vacuum-type immobilization devices (VIDs) on setup errors. We assigned...
Data analysis of average glandular dose in mammography toward revision of the diagnostic reference level of Japan
Data analysis of average glandular dose in mammography toward revision of the diagnostic reference level of Japan
Diagnostic reference level (DRL) for mammography for 2015 and 2020 has been published by J-RIME. More new dose studies are...
Enhanced radio-photodynamic therapy potential of advanced gold-based nanoclusters for breast cancer treatment
Enhanced radio-photodynamic therapy potential of advanced gold-based nanoclusters for breast cancer treatment
The purpose of current study was to assess the impact of ALA-coated gold nanoclusters (Au NPs) on the combined therapeutic...
Visualization of distribution in the vitreous cavity via eye drops using ultra-heavily T2-weighted sequences in MRI: a preliminary study with enucleated pig eyes
Visualization of distribution in the vitreous cavity via eye drops using ultra-heavily T2-weighted sequences in MRI: a preliminary study with enucleated pig eyes
We investigated whether magnetic resonance imaging can visualize the distribution in the vitreous cavity via eye drops of ...
Clinical application of single-shot fast spin-echo sequence for cerebrospinal fluid flow MR imaging
Clinical application of single-shot fast spin-echo sequence for cerebrospinal fluid flow MR imaging
In normal-pressure hydrocephalus, disturbances in cerebrospinal fluid (CSF) circulation occur; therefore, understanding CS...
Multi-institutional questionnaire-based survey on online adaptive radiotherapy performed using commercial systems in Japan in 2023
Multi-institutional questionnaire-based survey on online adaptive radiotherapy performed using commercial systems in Japan in 2023
In this study, we aimed to conduct a survey on the current clinical practice of, staffing for, commissioning of, and staff...
Investigation of distributed learning for automated lesion detection in head MR images
Investigation of distributed learning for automated lesion detection in head MR images
In this study, we investigated the application of distributed learning, including federated learning and cyclical weight t...
Setup time analysis for stereotactic body radiotherapy in O-ring linear accelerator without rotational correction
Setup time analysis for stereotactic body radiotherapy in O-ring linear accelerator without rotational correction
This study analyse setup time (ST) and frequency of on-board imaging for stereotactic abdomen (liver, stomach), lung, and ...
Evaluation of patient radiation dose and risk of cancer from CT examinations
Evaluation of patient radiation dose and risk of cancer from CT examinations
Computed tomography (CT) examinations have been increasingly requested and become the major sources of patient exposure. T...
Deep learning-based attenuation correction method in 99mTc-GSA SPECT/CT hepatic imaging: a phantom study
Deep learning-based attenuation correction method in 99mTc-GSA SPECT/CT hepatic imaging: a phantom study
This study aimed to evaluate a deep learning-based attenuation correction (AC) method to generate pseudo-computed tomograp...
Hierarchical approach for pulmonary-nodule identification from CT images using YOLO model and a 3D neural network classifier
Hierarchical approach for pulmonary-nodule identification from CT images using YOLO model and a 3D neural network classifier
This study aimed to assist doctors in detecting early-stage lung cancer. To achieve this, a hierarchical system that can d...
Impact of gadolinium concentration and cell oxygen levels on radiobiological characteristics of gadolinium neutron capture therapy technique in brain tumor treatment
Impact of gadolinium concentration and cell oxygen levels on radiobiological characteristics of gadolinium neutron capture therapy technique in brain tumor treatment
Neutron capture therapy (NCT) with various concentrations of gadolinium (157Gd) is one of the treatment modalities for gli...
Gold nanoparticles conjugated with epidermal growth factor and gadolinium for precision delivery of contrast agents in magnetic resonance imaging
Gold nanoparticles conjugated with epidermal growth factor and gadolinium for precision delivery of contrast agents in magnetic resonance imaging
The utilization of contrast agents in magnetic resonance imaging (MRI) has become increasingly important in clinical diagn...
Task-based assessment of resolution properties of CT images with a new index using deep convolutional neural network
Task-based assessment of resolution properties of CT images with a new index using deep convolutional neural network
In this study, we propose a method for obtaining a new index to evaluate the resolution properties of computed tomography ...
Dosimetric comparison of four-dimensional computed tomography based internal target volume against variations in respiratory motion during treatment between volumetric modulated arc therapy and three-dimensional conformal radiotherapy in lung stereotactic body radiotherapy
Dosimetric comparison of four-dimensional computed tomography based internal target volume against variations in respiratory motion during treatment between volumetric modulated arc therapy and three-dimensional conformal radiotherapy in lung stereotactic body radiotherapy
This study focused on the dosimetric impact of variations in respiratory motion during lung stereotactic body radiotherapy...
Knowledge-based model building for treatment planning for prostate cancer using commercial treatment planning quality assurance software tools
Knowledge-based model building for treatment planning for prostate cancer using commercial treatment planning quality assurance software tools
This study devised a method to efficiently launch the RapidPlan model for volumetric-modulated arc therapy for prostate ca...
Study on the radiofrequency transparency of partial-ring oval-shaped prototype PET inserts in a 3 T clinical MRI system
Study on the radiofrequency transparency of partial-ring oval-shaped prototype PET inserts in a 3 T clinical MRI system
The purpose of this study is to evaluate the RF field responses of partial-ring RF-shielded oval-shaped positron emission ...
Creation, evolution, and future challenges of ion beam therapy from a medical physicist’s viewpoint (Part 3): Chapter 3. Clinical research, Chapter 4. Future challenges, Chapter 5. Discussion, and Conclusion
Creation, evolution, and future challenges of ion beam therapy from a medical physicist’s viewpoint (Part 3): Chapter 3. Clinical research, Chapter 4. Future challenges, Chapter 5. Discussion, and Conclusion
Clinical studies of ion beam therapy have been performed at the Lawrence Berkeley Laboratory (LBL), National Institute of ...
A spatio-temporal image analysis for growth of indeterminate pulmonary nodules detected by CT scan
A spatio-temporal image analysis for growth of indeterminate pulmonary nodules detected by CT scan
The objective is to evaluate the performance of computational image classification for indeterminate pulmonary nodules (IP...
Improving the depiction of small intracranial vessels in head computed tomography angiography: a comparative analysis of deep learning reconstruction and hybrid iterative reconstruction
Improving the depiction of small intracranial vessels in head computed tomography angiography: a comparative analysis of deep learning reconstruction and hybrid iterative reconstruction
This study aimed to evaluate the ability of deep learning reconstruction (DLR) compared to that of hybrid iterative recons...
Simplified assessment for chemical exchanged saturation transfer (CEST) imaging: local offset frequency and CEST effect
Simplified assessment for chemical exchanged saturation transfer (CEST) imaging: local offset frequency and CEST effect
The aim of this study is to develop a novel phantom for the evaluation of clinical CEST imaging settings, e.g., B0 and B1 ...
Development and evaluation of an integrated liver nodule diagnostic method by combining the liver segment division and lesion localization/classification models for enhanced focal liver lesion detection
Development and evaluation of an integrated liver nodule diagnostic method by combining the liver segment division and lesion localization/classification models for enhanced focal liver lesion detection
The purpose of the study was to develop a liver nodule diagnostic method that accurately localizes and classifies focal li...
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