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Cross2SynNet: cross-device–cross-modal synthesis of routine brain MRI sequences from CT with brain lesion
Cross2SynNet: cross-device–cross-modal synthesis of routine brain MRI sequences from CT with brain lesion
CT and MR are often needed to determine the location and extent of brain lesions collectively to improve diagnosis. Howeve...
Linearity and bias of proton density fat fraction across the full dynamic range of 0–100%: a multiplatform, multivendor phantom study using 1.5T and 3T MRI at two sites
Linearity and bias of proton density fat fraction across the full dynamic range of 0–100%: a multiplatform, multivendor phantom study using 1.5T and 3T MRI at two sites
Performance assessments of quantitative determinations of proton density fat fraction (PDFF) have largely focused on the r...
High-resolution prostate diffusion MRI using eddy current-nulled convex optimized diffusion encoding and random matrix theory-based denoising
High-resolution prostate diffusion MRI using eddy current-nulled convex optimized diffusion encoding and random matrix theory-based denoising
To develop and evaluate a technique combining eddy current-nulled convex optimized diffusion encoding (ENCODE) with random...
Fast online spectral-spatial pulse design for subject-specific fat saturation in cervical spine and foot imaging at 1.5 T
Fast online spectral-spatial pulse design for subject-specific fat saturation in cervical spine and foot imaging at 1.5 T
To compensate subject-specific field inhomogeneities and enhance fat pre-saturation with a fast online individual spectral...
Reply to Comment on ‘Nanodiamond incorporated human liver mimicking phantoms: prospective calibration medium of magnetic resonance imaging’
Reply to Comment on ‘Nanodiamond incorporated human liver mimicking phantoms: prospective calibration medium of magnetic resonance imaging’
Department of Metrology and Optoelectronics, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University...
Stop moving: MR motion correction as an opportunity for artificial intelligence
Stop moving: MR motion correction as an opportunity for artificial intelligence
Subject motion is a long-standing problem of magnetic resonance imaging (MRI), which can seriously deteriorate the image q...
Improved reconstruction for highly accelerated propeller diffusion 1.5 T clinical MRI
Improved reconstruction for highly accelerated propeller diffusion 1.5 T clinical MRI
Propeller fast-spin-echo diffusion magnetic resonance imaging (FSE-dMRI) is essential for the diagnosis of Cholesteatoma. ...
Multi-target field control for matrix gradient coils
Multi-target field control for matrix gradient coils
Conventional single-target field control for matrix gradient coils will add control complexity in MRI spatial encoding, su...
Late/delayed gadolinium enhancement in MRI after intravenous administration of extracellular gadolinium-based contrast agents: is it worth waiting?
Late/delayed gadolinium enhancement in MRI after intravenous administration of extracellular gadolinium-based contrast agents: is it worth waiting?
The acquisition of images minutes or even hours after intravenous extracellular gadolinium-based contrast agents (GBCA) ad...
Impact of truncating diffusion MRI scans on diffusional kurtosis imaging
Impact of truncating diffusion MRI scans on diffusional kurtosis imaging
Diffusional kurtosis imaging (DKI) extends diffusion tensor imaging (DTI), characterizing non-Gaussian diffusion effects b...
Diffusion weighted imaging combining respiratory triggering and navigator echo tracking in the upper abdomen
Diffusion weighted imaging combining respiratory triggering and navigator echo tracking in the upper abdomen
To evaluate a new motion correction method, named RT + NV Track, for upper abdominal DWI that combines the res...
A short-TR single-echo spin-echo breath-hold method for assessing liver T2
A short-TR single-echo spin-echo breath-hold method for assessing liver T2
Conventional single-echo spin-echo T2 mapping used for liver iron quantification is too long for breath-holding. This stud...
FastPtx: a versatile toolbox for rapid, joint design of pTx RF and gradient pulses using Pytorch’s autodifferentiation
FastPtx: a versatile toolbox for rapid, joint design of pTx RF and gradient pulses using Pytorch’s autodifferentiation
With modern optimization methods, free optimization of parallel transmit pulses together with their gradient waveforms can...
Liver T1 and T2 mapping in a large cohort of healthy subjects: normal ranges and correlation with age and sex
Liver T1 and T2 mapping in a large cohort of healthy subjects: normal ranges and correlation with age and sex
We established normal ranges for native T1 and T2 values in the human liver using a 1.5 T whole-body imager (Gene...
Automatic segmentation of the interscapular brown adipose tissue in rats based on deep learning using the dynamic magnetic resonance fat fraction images
Automatic segmentation of the interscapular brown adipose tissue in rats based on deep learning using the dynamic magnetic resonance fat fraction images
The study aims to propose an accurate labelling method of interscapular BAT (iBAT) in rats using dynamic MR fat fraction (...
Improvement of image quality in diffusion-weighted imaging with model-based deep learning reconstruction for evaluations of the head and neck
Improvement of image quality in diffusion-weighted imaging with model-based deep learning reconstruction for evaluations of the head and neck
To investigate the utility of deep learning (DL)-based image reconstruction using a model-based approach in head and neck ...
Learning to deep learning: statistics and a paradigm test in selecting a UNet architecture to enhance MRI
Learning to deep learning: statistics and a paradigm test in selecting a UNet architecture to enhance MRI
This study aims to assess the statistical significance of training parameters in 240 dense UNets (DUNets) used for enhanci...
Compressed SVD-based L + S model to reconstruct undersampled dynamic MRI data using parallel architecture
Compressed SVD-based L + S model to reconstruct undersampled dynamic MRI data using parallel architecture
Magnetic Resonance Imaging (MRI) is a highly demanded medical imaging system due to high resolution, large volumetric cove...
Cranial bone imaging using ultrashort echo-time bone-selective MRI as an alternative to gradient-echo based “black-bone” techniques
Cranial bone imaging using ultrashort echo-time bone-selective MRI as an alternative to gradient-echo based “black-bone” techniques
CT is the clinical standard for surgical planning of craniofacial abnormalities in pediatric patients. This study evaluate...
Physiological confounders of renal blood flow measurement
Physiological confounders of renal blood flow measurement
Renal blood flow (RBF) is controlled by a number of physiological factors that can contribute to the variability of its me...
New clinical opportunities of low-field MRI: heart, lung, body, and musculoskeletal
New clinical opportunities of low-field MRI: heart, lung, body, and musculoskeletal
Contemporary whole-body low-field MRI scanners (< 1 T) present new and exciting opportunities for im...
Quantitative imaging through the production chain: from idea to application
Quantitative imaging through the production chain: from idea to application
Conflict of interest Tom Hilbert is an employee of Siemens Healthin...
Synthesis and evaluation of new magneto-fluorescent carbon dot based on manganese citrate for MRI imaging
Synthesis and evaluation of new magneto-fluorescent carbon dot based on manganese citrate for MRI imaging
Medical imaging techniques have widely revolutionized the diagnosis and treatment of various health conditions. Among thes...
A reproducibility study of knee cartilage volume and thickness values derived by fully automatic segmentation based on three-dimensional dual-echo in steady state data from 1.5 T and 3 T magnetic resonance imaging
A reproducibility study of knee cartilage volume and thickness values derived by fully automatic segmentation based on three-dimensional dual-echo in steady state data from 1.5 T and 3 T magnetic resonance imaging
To evaluate the repeatability of cartilage volume and thickness values at 1.5 T MRI using a fully automatic carti...
Subject-specific timing adaption in time-encoded arterial spin labeling imaging
Subject-specific timing adaption in time-encoded arterial spin labeling imaging
One challenge in arterial spin labeling (ASL) is the high variability of arterial transit times (ATT), which causes associ...
Book of Abstracts ESMRMB 2023 Online 39th Annual Scientific Meeting 4–7 October 2023
Book of Abstracts ESMRMB 2023 Online 39th Annual Scientific Meeting 4–7 October 2023
Share this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a sh...
Dynamics of γ-aminobutyric acid concentration in the human brain in response to short visual stimulation
Dynamics of γ-aminobutyric acid concentration in the human brain in response to short visual stimulation
To find a possible quantitative relation between activation-induced fast (< 10 s) changes in the ...
First implementation of dynamic oxygen-17 (17O) magnetic resonance imaging at 7 Tesla during neuronal stimulation in the human brain
First implementation of dynamic oxygen-17 (17O) magnetic resonance imaging at 7 Tesla during neuronal stimulation in the human brain
First implementation of dynamic oxygen-17 (17O) MRI at 7 Tesla (T) during neuronal stimulation in the human brain. Five he...
Comparison of convolutional-neural-networks-based method and LCModel on the quantification of in vivo magnetic resonance spectroscopy
Comparison of convolutional-neural-networks-based method and LCModel on the quantification of in vivo magnetic resonance spectroscopy
Quantification of metabolites concentrations in institutional unit (IU) is important for inter-subject and long-term compa...
The role of gadolinium-based contrast agents in magnetic resonance imaging structured reporting and data systems (RADS)
The role of gadolinium-based contrast agents in magnetic resonance imaging structured reporting and data systems (RADS)
Among the 28 reporting and data systems (RADS) available in the literature, we identified 15 RADS that can be used in Magn...
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