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A machine learning-based approach to identify peripheral artery disease using texture features from contrast-enhanced magnetic resonance imaging
A machine learning-based approach to identify peripheral artery disease using texture features from contrast-enhanced magnetic resonance imaging
In 2019 > 113 million people suffered from peripheral artery disease (PAD) whereas approximately 6.5 million people age...
Correcting synthetic MRI contrast-weighted images using deep learning
Correcting synthetic MRI contrast-weighted images using deep learning
Magnetic resonance imaging (MRI) is an important non-invasive clinical imaging modality that does not use ionizing radiati...
Combining variational mode decomposition with regularisation techniques to denoise MRI data
Combining variational mode decomposition with regularisation techniques to denoise MRI data
In this paper, we propose a novel method for removing noise from MRI data by exploiting regularisation techniques combined...
A hybrid 2D-FDTD/3D-MoM method used for the analysis of MRI RF coils
A hybrid 2D-FDTD/3D-MoM method used for the analysis of MRI RF coils
Magnetic resonance imaging (MRI) is an indispensable tool in medical applications [1] and will continue to thrive with the...
Amide proton transfer weighted combined with diffusion kurtosis imaging for predicting lymph node metastasis in cervical cancer
Amide proton transfer weighted combined with diffusion kurtosis imaging for predicting lymph node metastasis in cervical cancer
Cervical cancer (CC) is one of the most common gynecological malignancies worldwide, and its incidence is gradually increa...
Correction of phase offset errors and quantification of background noise, signal-to-noise ratio, and encoded-displacement uncertainty on DENSE MRI for kinematics of the descending thoracic and abdominal aorta
Correction of phase offset errors and quantification of background noise, signal-to-noise ratio, and encoded-displacement uncertainty on DENSE MRI for kinematics of the descending thoracic and abdominal aorta
Displacement encoding with stimulated echoes (DENSE) magnetic resonance imaging (MRI) is a technique that encodes tissue d...
Amide proton transfer-weighted MRI for renal tumors: Comparison with diffusion-weighted imaging
Amide proton transfer-weighted MRI for renal tumors: Comparison with diffusion-weighted imaging
Materials and methodsParticipants with renal tumor underwent preoperative multiparametric MRI, including APTw MRI and DWI....
Characterization of white matter lesions in multiple sclerosis using proton density and T1-relaxation measures
Characterization of white matter lesions in multiple sclerosis using proton density and T1-relaxation measures
Multiple sclerosis (MS) is a chronic inflammatory and neurodegenerative disease of the central nervous system affecting bo...
Automatic liver segmentation and assessment of liver fibrosis using deep learning with MR T1-weighted images in rats
Automatic liver segmentation and assessment of liver fibrosis using deep learning with MR T1-weighted images in rats
Liver fibrosis is the progressive process of repeated injury of hepatocytes by different causes, and excessive deposition ...
Diagnostic performance of 3.0 T unenhanced Dixon water-fat separation coronary MR angiography in patients with low-to-intermediate risk of coronary artery disease
Diagnostic performance of 3.0 T unenhanced Dixon water-fat separation coronary MR angiography in patients with low-to-intermediate risk of coronary artery disease
Coronary artery disease (CAD) remains the leading cause of mortality and morbidity worldwide [1]. In the current routine c...
A machine learning radiomics model based on bpMRI to predict bone metastasis in newly diagnosed prostate cancer patients.
A machine learning radiomics model based on bpMRI to predict bone metastasis in newly diagnosed prostate cancer patients.
Prostate cancer (PCa) is the second most prevalent cancer and the fifth leading cause of death in men worldwide [1]. While...
Three-dimensional non-contrast magnetic resonance lymphography severity stage for upper extremity lymphedema
Three-dimensional non-contrast magnetic resonance lymphography severity stage for upper extremity lymphedema
Lymphedema is a prevalent condition affecting approximately 250 million individuals worldwide [1]. Upper extremity lymphed...
On retrospective k-space subsampling schemes for deep MRI reconstruction
On retrospective k-space subsampling schemes for deep MRI reconstruction
Magnetic Resonance Imaging (MRI) is a widely used medical imaging modality known for its ability to produce high soft tiss...
Field-of-view optimized and constrained undistorted single shot intravoxel incoherent motion diffusion-weighted imaging of the cervix during the menstrual cycle: A prospective study
Field-of-view optimized and constrained undistorted single shot intravoxel incoherent motion diffusion-weighted imaging of the cervix during the menstrual cycle: A prospective study
Cancer in the female reproductive system most frequently occurs in the uterus or cervix, with endometrial cancer and cervi...
Strategically Acquired Gradient Echo (STAGE) Imaging, part IV: Constrained Reconstruction of White Noise (CROWN) Processing as a Means to Improve Signal-to-Noise in STAGE Imaging at 3 Tesla
Strategically Acquired Gradient Echo (STAGE) Imaging, part IV: Constrained Reconstruction of White Noise (CROWN) Processing as a Means to Improve Signal-to-Noise in STAGE Imaging at 3 Tesla
Magnetic resonance imaging (MRI) is inherently a very inefficient imaging modality that requires as much polarization of t...
DCT-net: Dual-domain cross-fusion transformer network for MRI reconstruction
DCT-net: Dual-domain cross-fusion transformer network for MRI reconstruction
Magnetic resonance imaging (MRI) has emerged as a powerful modality for disease diagnosis and treatment planning [1]. It p...
High efficiency free-breathing 3D thoracic aorta vessel wall imaging using self-gating image reconstruction
High efficiency free-breathing 3D thoracic aorta vessel wall imaging using self-gating image reconstruction
Thoracic aortic atherosclerotic plaque is a major cause of ischemic stroke worldwide [1]. 3D black-blood vessel wall magne...
Whole-tumor histogram analysis of multiparametric breast magnetic resonance imaging to differentiate pure mucinous breast carcinomas from Fibroadenomas with high-signal intensity on T2WI
Whole-tumor histogram analysis of multiparametric breast magnetic resonance imaging to differentiate pure mucinous breast carcinomas from Fibroadenomas with high-signal intensity on T2WI
Mucinous breast carcinoma (MBC) is a rare histological type of breast cancer, accounting for about 1% to 6% of all invasiv...
MRI-based radiomics features for the non-invasive prediction of FIGO stage in cervical carcinoma: A multi-center study
MRI-based radiomics features for the non-invasive prediction of FIGO stage in cervical carcinoma: A multi-center study
Cervical carcinoma (CC) is the fourth most common cancer type and cause of cancer mortality in women, with an estimated 60...
A comparative study of multi and single post labeling delay pseudocontinuous arterial spin labeling in patients with carotid artery stenosis
A comparative study of multi and single post labeling delay pseudocontinuous arterial spin labeling in patients with carotid artery stenosis
Arterial Spin Labeling (ASL) is a method for non-contrast-enhanced perfusion imaging mainly used in the brain and offers t...
Diffusion-weighted, intravoxel incoherent motion, and diffusion kurtosis tensor MR imaging in chronic kidney diseases: Correlations with histology
Diffusion-weighted, intravoxel incoherent motion, and diffusion kurtosis tensor MR imaging in chronic kidney diseases: Correlations with histology
The prevalence of chronic kidney disease (CKD), a continuous reduction in renal function leading to renal failure, is stea...
Myelination of preterm brain networks at adolescence
Myelination of preterm brain networks at adolescence
Prematurity and preterm stressors severely affect the development of infants born before 37 weeks of gestation, with incre...
On the loss of image contrast in double-inversion-recovery prepared T2* MRI of Intramyocardial hemorrhage
On the loss of image contrast in double-inversion-recovery prepared T2* MRI of Intramyocardial hemorrhage
Following reperfusion therapy for acute myocardial infarction, at times blood can extravasate into the interstitial space ...
Compensation of concomitant field effects in double diffusion encoding by means of added oscillating gradients
Compensation of concomitant field effects in double diffusion encoding by means of added oscillating gradients
Magnetic gradient fields are essential in magnetic resonance imaging to encode the spatial distribution of the magnetizati...
Convolutional network denoising for acceleration of multi-shot diffusion MRI
Convolutional network denoising for acceleration of multi-shot diffusion MRI
In patients with cancer, diffusion-weighted magnetic resonance imaging (DWI) represents a useful tool to visualize the mai...
Deep learning-based k-space-to-image reconstruction and super resolution for diffusion-weighted imaging in whole-spine MRI
Deep learning-based k-space-to-image reconstruction and super resolution for diffusion-weighted imaging in whole-spine MRI
Diffusion-weighted imaging (DWI) is a functional MRI technique based on the Brownian motion of water molecules [[1], [2], ...
Staging liver fibrosis by a continuous-time random-walk diffusion model
Staging liver fibrosis by a continuous-time random-walk diffusion model
Liver fibrosis is a common outcome of chronic liver disease, characterized by accumulating extracellular matrix proteins s...
Predicting histopathological types and molecular subtype of breast tumors: A comparative study using amide proton transfer-weighted imaging, intravoxel incoherent motion and diffusion kurtosis imaging
Predicting histopathological types and molecular subtype of breast tumors: A comparative study using amide proton transfer-weighted imaging, intravoxel incoherent motion and diffusion kurtosis imaging
Breast cancer, with 1.7 million newly diagnosed patients each year [1], is the leading cause of cancer-related deaths amon...
Influence of scan duration on dynamic contrast -enhanced magnetic resonance imaging pharmacokinetic parameters for brain lesions
Influence of scan duration on dynamic contrast -enhanced magnetic resonance imaging pharmacokinetic parameters for brain lesions
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a perfusion technique that allows a non-invasive charact...
Metal artifact reduction around cervical spine implant using diffusion tensor imaging at 3T: A phantom study
Metal artifact reduction around cervical spine implant using diffusion tensor imaging at 3T: A phantom study
Diffusion Tensor Imaging (DTI) has emerged as a key tool for in-vivo investigation of the central nervous system (i.e. bra...
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