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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...
Systematic evaluation of adhesives for implant fixation in multimodal functional brain MRI
Systematic evaluation of adhesives for implant fixation in multimodal functional brain MRI
Invasive multimodal fMRI in rodents is often compromised by susceptibility artifacts from adhesives used to secure cranial...
New physiological insights using multi-TE ASL MRI measuring blood–brain barrier water exchange after caffeine intake
New physiological insights using multi-TE ASL MRI measuring blood–brain barrier water exchange after caffeine intake
Caffeine, a known neurostimulant and adenosine antagonist, affects brain physiology by decreasing cerebral blood flow. It ...
FeCl3 and GdCl3 solutions as superfast relaxation modifiers for agarose gel: a quantitative analysis
FeCl3 and GdCl3 solutions as superfast relaxation modifiers for agarose gel: a quantitative analysis
This study aimed to evaluate the relaxivity and uniformity of agarose gel phantoms added with relaxation modifiers. It is ...
Brain tumor detection and segmentation using deep learning
Brain tumor detection and segmentation using deep learning
Brain tumor detection, classification and segmentation are challenging due to the heterogeneous nature of brain tumors. Di...
Enhancing MRI radiomics feature reproducibility and classification performance in Parkinson’s disease: a harmonization approach to gray-level discretization variability
Enhancing MRI radiomics feature reproducibility and classification performance in Parkinson’s disease: a harmonization approach to gray-level discretization variability
This study aimed to assess the reproducibility of MRI-derived radiomic features across multiple gray-level discretization ...
Morphology of the human inner ear and vestibulocochlear nerve assessed using 7 T MRI
Morphology of the human inner ear and vestibulocochlear nerve assessed using 7 T MRI
To optimize high-resolution 7 T MRI of the cochlea and measure normal cochlea and the cochlear nerve morphometry ...
Deep learning initialized compressed sensing (Deli-CS) in volumetric spatio-temporal subspace reconstruction
Deep learning initialized compressed sensing (Deli-CS) in volumetric spatio-temporal subspace reconstruction
Spatio-temporal MRI methods offer rapid whole-brain multi-parametric mapping, yet they are often hindered by prolonged rec...
Extraction of 3D trajectories of mandibular condyles from 2D real-time MRI
Extraction of 3D trajectories of mandibular condyles from 2D real-time MRI
Computing the trajectories of mandibular condyles directly from MRI could provide a comprehensive examination, providing b...
Design of multi-row parallel-transmit coil arrays for enhanced SAR efficiency with deep brain electrodes at 3T: an electromagnetic simulation study
Design of multi-row parallel-transmit coil arrays for enhanced SAR efficiency with deep brain electrodes at 3T: an electromagnetic simulation study
Tissue heating near the implanted deep brain stimulation (DBS) during magnetic resonance imaging (MRI) poses a significant...
Deep learning for efficient reconstruction of highly accelerated 3D FLAIR MRI in neurological deficits
Deep learning for efficient reconstruction of highly accelerated 3D FLAIR MRI in neurological deficits
To compare compressed sensing (CS) and the Cascades of Independently Recurrent Inference Machines (CIRIM) with respect to ...
Initial assessment of PNS safety for interventionalists during image-guided procedures
Initial assessment of PNS safety for interventionalists during image-guided procedures
This study investigates peripheral nerve stimulation (PNS) safety thresholds for health professionals performing MRI proce...
A method to measure renal inner medullary perfusion using MR renography
A method to measure renal inner medullary perfusion using MR renography
In the kidney, the medulla is most susceptible to damage in case of hampered perfusion or oxygenation. Due to separate reg...
Field-cycling imaging yields repeatable brain R1 dispersion measurement at fields strengths below 0.2 Tesla with optimal fitting routine
Field-cycling imaging yields repeatable brain R1 dispersion measurement at fields strengths below 0.2 Tesla with optimal fitting routine
By rapidly changing magnetic field strength between 0.2 and 200 mT during the pulse sequence Field-Cycling Imaging (FCI) m...
Exploring the potential performance of 0.2 T low-field unshielded MRI scanner using deep learning techniques
Exploring the potential performance of 0.2 T low-field unshielded MRI scanner using deep learning techniques
Using deep learning-based techniques to overcome physical limitations and explore the potential performance of 0.2 T low-f...
s2MRI-ADNet: an interpretable deep learning framework integrating Euclidean-graph representations of Alzheimer’s disease solely from structural MRI
s2MRI-ADNet: an interpretable deep learning framework integrating Euclidean-graph representations of Alzheimer’s disease solely from structural MRI
To establish a multi-dimensional representation solely on structural MRI (sMRI) for early diagnosis of AD. A total of 3377...
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