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Impact of iso-dose levels on pre-treatment quality assurance in volumetric modulated arc therapy
Impact of iso-dose levels on pre-treatment quality assurance in volumetric modulated arc therapy
The current standard of modern radiotherapy pre-treatment evaluation of dose distributions measured using gamma pass perce...
Enhanced urethral identification for radiotherapy planning using fat-suppressed 3D T2-weighted magnetic resonance imaging
Enhanced urethral identification for radiotherapy planning using fat-suppressed 3D T2-weighted magnetic resonance imaging
This study proposes a fat-suppressed three-dimensional T2-weighted (3D-T2W) sequence on magnetic resonance imaging to enha...
Scatter and beam hardening effect corrections in pelvic region cone beam CT images using a convolutional neural network
Scatter and beam hardening effect corrections in pelvic region cone beam CT images using a convolutional neural network
The aim of this study is to remove scattered photons and beam hardening effect in cone beam CT (CBCT) images and make an i...
Optimization of imaging conditions for infant hip imaging using flat panel detectors
Optimization of imaging conditions for infant hip imaging using flat panel detectors
To investigate the optimal low-dose imaging conditions for infant hip radiography, using a commercially available infant p...
External and internal GATE/Geant4 dosimetric calculations on voxelized phantoms
External and internal GATE/Geant4 dosimetric calculations on voxelized phantoms
Monte Carlo simulation employing the GATE (Geant4 Application for Tomographic Emission) code plays a crucial role in radia...
A CT-free deep-learning-based attenuation and scatter correction for copper-64 PET in different time-point scans
A CT-free deep-learning-based attenuation and scatter correction for copper-64 PET in different time-point scans
This study aimed to develop and evaluate a deep-learning model for attenuation and scatter correction in whole-body 64Cu-b...
Human phantom applicability of 3D-printed polylactic acid for X-ray dose analysis: simulation and measurement studies
Human phantom applicability of 3D-printed polylactic acid for X-ray dose analysis: simulation and measurement studies
In recent years, significant research has focused on the fabrication of human phantoms and the evaluation of radiological ...
Investigation of imaging conditions for dental MRI using 3T-MRI system with microscopy coil in clinical situation
Investigation of imaging conditions for dental MRI using 3T-MRI system with microscopy coil in clinical situation
Magnetic resonance imaging (MRI) has been employed to obtain high-resolution images of dental structures using intraoral a...
Comprehensive plan quality assessment of simplified volumetric-modulated arc therapy for lung stereotactic body radiotherapy
Comprehensive plan quality assessment of simplified volumetric-modulated arc therapy for lung stereotactic body radiotherapy
In lung stereotactic body radiation therapy, optimizing plan quality, including dosimetric quality and plan complexity, is...
Development of a tissue water fraction analysis method using quantitative parameter mapping for magnetic resonance imaging
Development of a tissue water fraction analysis method using quantitative parameter mapping for magnetic resonance imaging
The myelin sheath is a multilayered structure that surrounds the axons of nerve cells. It acts as an insulator to ensure r...
Development of myocardial perfusion imaging from coronary angiography for clinical application
Development of myocardial perfusion imaging from coronary angiography for clinical application
This study aimed to generate myocardial perfusion images from coronary angiography (CAG) using Patlak plot analysis and ev...
Generalizable AI approach for detecting projection type and left–right reversal in chest X-rays
Generalizable AI approach for detecting projection type and left–right reversal in chest X-rays
The verification of chest X-ray images involves several checkpoints, including orientation and reversal. To address the ch...
MobileTurkerNeXt: investigating the detection of Bankart and SLAP lesions using magnetic resonance images
MobileTurkerNeXt: investigating the detection of Bankart and SLAP lesions using magnetic resonance images
The landscape of computer vision is predominantly shaped by two groundbreaking methodologies: transformers and convolution...
Decision support using machine learning for predicting adequate bladder filling in prostate radiotherapy: a feasibility study
Decision support using machine learning for predicting adequate bladder filling in prostate radiotherapy: a feasibility study
This study aimed to develop a model for predicting the bladder volume ratio between daily CBCT and CT to determine adequat...
An updated overview of radiomics-based artificial intelligence (AI) methods in breast cancer screening and diagnosis
An updated overview of radiomics-based artificial intelligence (AI) methods in breast cancer screening and diagnosis
Current imaging methods for diagnosing breast cancer (BC) are associated with limited sensitivity and specificity and mode...
Effect of frame rate on image quality in cardiology evaluated using an indirect conversion dynamic flat-panel detector
Effect of frame rate on image quality in cardiology evaluated using an indirect conversion dynamic flat-panel detector
To verify the effect of the frame rate on image quality in cardiology, we used an indirect conversion dynamic flat-panel d...
LIT-Unet: a lightweight and effective model for medical image segmentation
LIT-Unet: a lightweight and effective model for medical image segmentation
This study aimed to design a simple and efficient automatic segmentation model for medical images, so as to facilitate doc...