SCI Abstract

search
Evaluation of stopping power ratio of artificial breast implants for carbon-ion radiotherapy
Evaluation of stopping power ratio of artificial breast implants for carbon-ion radiotherapy
The number of patients requiring breast reconstruction with artificial implants has been increasing, and so is the use of ...
Imaging of scattered radiation sources in X-ray radiography using a semiconductor radiation visualization camera
Imaging of scattered radiation sources in X-ray radiography using a semiconductor radiation visualization camera
The objective of this study is to verify whether X-ray can be visualized for imaging scattered radiation sources in X-ray ...
Quantitative assessment of 167Tm isotope production: experimental data analysis and model validation
Quantitative assessment of 167Tm isotope production: experimental data analysis and model validation
167Tm is an effective radioisotope for use in theragnostic purposes. This study aims to find the best alternative routes f...
Directional vector-based quick evaluation method for protective plate effects in X-ray fluoroscopy (DQPEX)
Directional vector-based quick evaluation method for protective plate effects in X-ray fluoroscopy (DQPEX)
One radiation protection measure for medical personnel in X-ray fluoroscopy is using radiation protective plates. A real-t...
Water/fat separate reconstruction for body quantitative susceptibility mapping in MRI
Water/fat separate reconstruction for body quantitative susceptibility mapping in MRI
This study aimed to investigate the cause of susceptibility underestimation in body quantitative susceptibility mapping (Q...
Breast cancer classification based on breast tissue structures using the Jigsaw puzzle task in self-supervised learning
Breast cancer classification based on breast tissue structures using the Jigsaw puzzle task in self-supervised learning
Self-supervised learning (SSL) has gained attention in the medical field as a deep learning approach utilizing unlabeled d...
Noise-related inaccuracies in the quantitative evaluation of CT artifacts
Noise-related inaccuracies in the quantitative evaluation of CT artifacts
Accuracies of measuring the artifact index (AI), a quantitative artifact evaluation index in X-ray CT images, were investi...
Evaluation of gravity effect on liver and spleen volumes using multiposture MRI
Evaluation of gravity effect on liver and spleen volumes using multiposture MRI
Liver and spleen volume measurements are important for early detection and monitoring of liver disease. However, alteratio...
Development of an image quality evaluation system for bedside chest X-ray images using scatter correction processing
Development of an image quality evaluation system for bedside chest X-ray images using scatter correction processing
In plain radiography, scattered X-ray correction processing (Virtual Grid: VG) is used to estimate and correct scattered r...
Dosimetric impact of arc simulation angular resolution in single-isocentre multi-target stereotactic radiosurgery
Dosimetric impact of arc simulation angular resolution in single-isocentre multi-target stereotactic radiosurgery
This study evaluates the dosimetric impact of arc simulation angular resolution in VMAT-based Single Isocentre Multiple Ta...
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...
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 ...
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 ...
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...