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Addressing fatty tissue in quantitative susceptibility mapping of human knee cartilage
Addressing fatty tissue in quantitative susceptibility mapping of human knee cartilage
To evaluate the effects of excluding fatty tissue in QSM of human knee cartilage. Gradient echo images from 18 knee-health...
Open-source, MRI-compatible grip force sensor for dynamic muscle imaging
Open-source, MRI-compatible grip force sensor for dynamic muscle imaging
Dynamic MRI synchronised with neuromuscular electrical stimulation (NMES) offers a reproducible method for assessing muscl...
On the measurement errors in SAR supervision introduced by directional couplers
On the measurement errors in SAR supervision introduced by directional couplers
This study proposes a framework for determining the calculation error in online SAR supervision introduced by directional ...
MRI-based texture analysis for breast cancer subtype classification in a multi-ethnic population
MRI-based texture analysis for breast cancer subtype classification in a multi-ethnic population
Breast cancer, the most prevalent cancer among women globally, is classified into molecular subtypes (luminal, HER2-enrich...
Polar Fourier transform in practice: its efficiency and characteristics in reconstructing radially acquired MRI images
Polar Fourier transform in practice: its efficiency and characteristics in reconstructing radially acquired MRI images
The Polar Fourier Transform (PFT) has been proposed as a direct alternative to gridding for reconstructing radially acquir...
Automated adaptive detection and reconstruction of quiescent cardiac phases in free-running whole-heart acquisitions using Synchronicity Maps from PHysiological mOtioN In Cine (SYMPHONIC) MRI
Automated adaptive detection and reconstruction of quiescent cardiac phases in free-running whole-heart acquisitions using Synchronicity Maps from PHysiological mOtioN In Cine (SYMPHONIC) MRI
To reconstruct whole-heart images from free-running acquisitions through automated selection of data acceptance windows (E...
Fatty liver regeneration after partial hepatectomy: an experimental study based on intravoxel incoherent motion and T2 mapping MRI
Fatty liver regeneration after partial hepatectomy: an experimental study based on intravoxel incoherent motion and T2 mapping MRI
To explore the feasibility of assessing liver regeneration (LR) after partial hepatectomy (PH) in a rat model of metabolic...
Comparison of observed image quality and technical image quality parameters in 3D-FLAIR images
Comparison of observed image quality and technical image quality parameters in 3D-FLAIR images
Magnetic resonance imaging (MRI) is a complex medical imaging method where multiple technical and physiological factors ma...
RF phase modulation improves quantitative transient state sequences under constrained conditions
RF phase modulation improves quantitative transient state sequences under constrained conditions
Within gradient-spoiled transient-state MR sequences like Magnetic Resonance Fingerprinting or Magnetic Resonance Spin Tom...
Comparison of $${B}_{1}$$ and SAR efficiency for a high-impedance metamaterial shield with different remote RF arrays at 7 T MRI: A simulation study
Comparison of $${B}_{1}$$ and SAR efficiency for a high-impedance metamaterial shield with different remote RF arrays at 7 T MRI: A simulation study
This study explores high-impedance surface (HIS) metamaterial shields for enhancing the transmit field in whole-body MRI a...
Improving magnetic field homogeneity in prostate MR imaging and spectroscopy using an add-on local external shim coil array
Improving magnetic field homogeneity in prostate MR imaging and spectroscopy using an add-on local external shim coil array
To improve B0 field homogeneity in prostate MR imaging and spectroscopy using a custom-designed 16-channel external local ...
Upright 0.5 T open MR defaecating proctography proof of concept study: the inter- and intra-rater variability of pelvic floor measures using seated proctography
Upright 0.5 T open MR defaecating proctography proof of concept study: the inter- and intra-rater variability of pelvic floor measures using seated proctography
We tested the feasibility, data quality, and reliability of an upright magnetic resonance defaecating proctography (uMRDP)...
MDFNet: a multi-dimensional feature fusion model based on structural magnetic resonance imaging representations for brain age estimation
MDFNet: a multi-dimensional feature fusion model based on structural magnetic resonance imaging representations for brain age estimation
Brain age estimation plays a significant role in understanding the aging process and its relationship with neurodegenerati...
Free-running time-resolved first-pass myocardial perfusion using a multi-scale dynamics decomposition: CMR-MOTUS
Free-running time-resolved first-pass myocardial perfusion using a multi-scale dynamics decomposition: CMR-MOTUS
First-pass myocardial perfusion involves several types of dynamics, including cardiac motion, respiratory motion, bulk mot...
Evaluation of tractography parameters for dentato-rubro-thalamic tract reconstruction during pediatric posterior fossa tumor surgery
Evaluation of tractography parameters for dentato-rubro-thalamic tract reconstruction during pediatric posterior fossa tumor surgery
Intraoperative fiber tractography can help neurosurgeons in localizing eloquent tracts potentially displaced by tumors. In...
A New Method of Modeling the Multi-stage Decision-Making Process of CRT Using Machine Learning with Uncertainty Quantification
A New Method of Modeling the Multi-stage Decision-Making Process of CRT Using Machine Learning with Uncertainty Quantification
Current machine learning-based (ML) models usually attempt to utilize all available patient data to predict patient outcom...
OcuViT: A Vision Transformer-Based Approach for Automated Diabetic Retinopathy and AMD Classification
OcuViT: A Vision Transformer-Based Approach for Automated Diabetic Retinopathy and AMD Classification
Early detection and accurate classification of retinal diseases, such as diabetic retinopathy (DR) and age-related macular...
A Comprehensive Guide to Selecting and (Potentially) Replacing PACS: Navigating the Decision-Making Processes
A Comprehensive Guide to Selecting and (Potentially) Replacing PACS: Navigating the Decision-Making Processes
Selecting a Picture Archiving and Communication System (PACS) is a strategic decision that impacts radiology workflow, com...
Lightweight Transfer Learning Models for Multi-Class Brain Tumor Classification: Glioma, Meningioma, Pituitary Tumors, and No Tumor MRI Screening
Lightweight Transfer Learning Models for Multi-Class Brain Tumor Classification: Glioma, Meningioma, Pituitary Tumors, and No Tumor MRI Screening
Glioma, pituitary tumors, and meningiomas constitute the major types of primary brain tumors. The challenge in achieving a...
MFFC-Net: Multi-feature Fusion Deep Networks for Classifying Pulmonary Edema of a Pilot Study by Using Lung Ultrasound Image with Texture Analysis and Transfer Learning Technique
MFFC-Net: Multi-feature Fusion Deep Networks for Classifying Pulmonary Edema of a Pilot Study by Using Lung Ultrasound Image with Texture Analysis and Transfer Learning Technique
Lung ultrasound (LUS) has been widely used by point-of-care systems in both children and adult populations to provide diff...
Comparative Evaluation of Radiomics and Deep Learning Models for Disease Detection in Chest Radiography
Comparative Evaluation of Radiomics and Deep Learning Models for Disease Detection in Chest Radiography
The application of artificial intelligence (AI) in medical imaging has revolutionized diagnostic practices, enabling advan...
Generating Brain MRI with StyleGAN2-ADA: The Effect of the Training Set Size on the Quality of Synthetic Images
Generating Brain MRI with StyleGAN2-ADA: The Effect of the Training Set Size on the Quality of Synthetic Images
The potential of deep learning for medical imaging is often constrained by limited data availability. Generative models ca...
Exploiting Cross-modal Collaboration and Discrepancy for Semi-supervised Ischemic Stroke Lesion Segmentation from Multi-sequence MRI Images
Exploiting Cross-modal Collaboration and Discrepancy for Semi-supervised Ischemic Stroke Lesion Segmentation from Multi-sequence MRI Images
Accurate ischemic stroke lesion segmentation is useful to define the optimal reperfusion treatment and unveil the stroke e...
Refining the Classroom: The Self-Supervised Professor Model for Improved Segmentation of Locally Advanced Pancreatic Ductal Adenocarcinoma
Refining the Classroom: The Self-Supervised Professor Model for Improved Segmentation of Locally Advanced Pancreatic Ductal Adenocarcinoma
Pancreatic ductal adenocarcinoma (PDAC) is a leading cause of cancer-related deaths, with accurate staging being critical ...
Ethical Considerations in Patient Privacy and Data Handling for AI in Cardiovascular Imaging and Radiology
Ethical Considerations in Patient Privacy and Data Handling for AI in Cardiovascular Imaging and Radiology
The integration of artificial intelligence (AI) into cardiovascular imaging and radiology offers the potential to enhance ...
TCF-Net: A Hierarchical Transformer Convolution Fusion Network for Prostate Cancer Segmentation in Transrectal Ultrasound Images
TCF-Net: A Hierarchical Transformer Convolution Fusion Network for Prostate Cancer Segmentation in Transrectal Ultrasound Images
Accurate prostate segmentation from transrectal ultrasound (TRUS) images is the key to the computer-aided diagnosis of pro...
Localizing Knee Pain via Explainable Bayesian Generative Models and Counterfactual MRI: Data from the Osteoarthritis Initiative
Localizing Knee Pain via Explainable Bayesian Generative Models and Counterfactual MRI: Data from the Osteoarthritis Initiative
Osteoarthritis (OA) pain often does not correlate with magnetic resonance imaging (MRI)-detected structural abnormalities,...
A Deep Learning-Based EffConvNeXt Model for Automatic Classification of Cystic Bronchiectasis: An Explainable AI Approach
A Deep Learning-Based EffConvNeXt Model for Automatic Classification of Cystic Bronchiectasis: An Explainable AI Approach
Cystic bronchiectasis and pneumonia are respiratory conditions that significantly impact morbidity and mortality worldwide...
Facilitating Collaboration Across the Radiology Department by Expanding Access to Real-Time CT Protocols
Facilitating Collaboration Across the Radiology Department by Expanding Access to Real-Time CT Protocols
CT protocols can provide valuable information and guidance to radiologists, technologists, physicists, schedulers, and nur...
FairDITA: Disentangled Image-Text Alignment for Fair Skin Cancer Diagnosis
FairDITA: Disentangled Image-Text Alignment for Fair Skin Cancer Diagnosis
Recent advances in deep learning have significantly improved skin cancer classification, yet concerns regarding algorithmi...
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