Magnetic Resonance Materials in Physics, Biology and Medicine 
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This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.Automated abdominal adipose tissue segmentation and volume quantification on longitudinal MRI using 3D convolutional neural networks with multi-contrast inputs
DiscussionACD 3D U-Net and 3D nnU-Net can be automated tools to quantify abdominal SAT/VAT volume rapidly, accurately, and longitudinally in adults with overweight/obesity. (Source: Magnetic Resonance Materials in Physics, Biology and Medicine)
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - February 1, 2024 Category: Materials Science Source Type: research
Rule-based deep learning method for prognosis of neonatal hypoxic-ischemic encephalopathy by using susceptibility weighted image analysis
ConclusionSuch regions that are important in the classification accuracy can interpret the relationship between the brain regions affected by hypoxic-ischemic and neurodevelopmental outcomes of infants with HIE at the age of 2 years. (Source: Magnetic Resonance Materials in Physics, Biology and Medicine)
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - January 22, 2024 Category: Materials Science Source Type: research
Nonuniform sliding-window reconstruction for accelerated dual contrast agent quantification with MR fingerprinting
ConclusionsNonuniform SW-MRF improves the accuracy of matching compared to uniform SW-MRF, allowing higher accelerated concentration mapping for preclinical systems. (Source: Magnetic Resonance Materials in Physics, Biology and Medicine)
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - January 13, 2024 Category: Materials Science Source Type: research
Detection of hypoplastic left heart syndrome anatomy from cardiovascular magnetic resonance images using machine learning
This study presents a tailor-made neural network architecture for detection of 7 distinctive anatomic landmarks in CMR images of patients with hypoplastic left heart syndrome (HLHS) in Fontan circulation or healthy controls and demonstrates the potential of the spatial arrangement of the landmarks to identify HLHS. The method was applied to the axial SSFP CMR scans of 46 patients with HLHS and 33 healthy controls.ResultsThe displacement between predicted and annotated landmark had a standard deviation of 8 –17 mm and was larger than the interobserver variability by a factor of 1.1–2.0. A high overall classification ac...
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - January 12, 2024 Category: Materials Science Source Type: research
STEAM-SASHA: a novel approach for blood- and fat-suppressed native T1 measurement in the right ventricular myocardium
DiscussionSTEAM-SASHA provides accurate and reproducible T1 in the RV with excellent blood and fat suppression. STEAM-SASHA has potential to provide new insights into pathological changes in the RV in future studies. (Source: Magnetic Resonance Materials in Physics, Biology and Medicine)
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - January 12, 2024 Category: Materials Science Source Type: research
The possible influence of third-order shim coils on gradient –magnet interactions: an inter-field and inter-site study
DiscussionThird-order shim coil configurations can have major impact in gradient –magnet interactions with consequences on potential hardware damage, magnet heating, and image quality going beyond EPI acquisitions. (Source: Magnetic Resonance Materials in Physics, Biology and Medicine)
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - January 10, 2024 Category: Materials Science Source Type: research
Quantification of neurovascular compliance with retrospectively gated phase-contrast MRI
ConclusionBoth methods yielded excellent retest precision. In spite of a large bias, actual and estimated NVC were strongly correlated. (Source: Magnetic Resonance Materials in Physics, Biology and Medicine)
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - January 9, 2024 Category: Materials Science Source Type: research
Field camera input to virtual phantom (ViP) scanner acquisitions for quality assurance of derived MRI quantities: first implementation and proof-of-principle
ConclusionFirst proof-of-principle was discussed and supported by correlation between scanner outputs and the input STO. The work makes no claim that its examples are valid QA methods. It concludes by proposing a new industrial standard for QA without the FC. (Source: Magnetic Resonance Materials in Physics, Biology and Medicine)
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - December 21, 2023 Category: Materials Science Source Type: research
Correction to: Book of Abstracts ESMRMB 2023 Online 39th Annual Scientific Meeting 4 –7 October 2023
(Source: Magnetic Resonance Materials in Physics, Biology and Medicine)
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - December 12, 2023 Category: Materials Science Source Type: research
A short-TR single-echo spin-echo breath-hold method for assessing liver T2
This study investigated a short TR (~100 ms) single-echo spin-echo T2 mapping technique wherein each image (corresponding to a single TE) could be acquired in ~17 s–short enough for a breath-hold. TE images were combined for T2 fitting. To avoid T1 bias, each TE acquisition incremented TR to maintain a constant TR-TE.Materials and methodsExperiments at 1.5T validated the technique ’s accuracy in phantoms, 9 healthy volunteers, and 5 iron overload patients. In phantoms and healthy volunteers, the technique was compared to the conventional approach of constant TR for all TEs. Iron overload results were compared to Fer...
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - December 10, 2023 Category: Materials Science Source Type: research
FastPtx: a versatile toolbox for rapid, joint design of pTx RF and gradient pulses using Pytorch ’s autodifferentiation
ConclusionThe pTx pulse design toolbox can freely optimize gradient and pTx RF waveforms in a short time. This allows for tailoring high-quality pulses in just over a minute. (Source: Magnetic Resonance Materials in Physics, Biology and Medicine)
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - December 8, 2023 Category: Materials Science Source Type: research
Automatic segmentation of the interscapular brown adipose tissue in rats based on deep learning using the dynamic magnetic resonance fat fraction images
ConclusionAn automatic iBAT segmentation method for rats was successfully developed using the dynamic labelled FF images of activated BAT and deep learning network. (Source: Magnetic Resonance Materials in Physics, Biology and Medicine)
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - November 29, 2023 Category: Materials Science Source Type: research
Liver T1 and T2 mapping in a large cohort of healthy subjects: normal ranges and correlation with age and sex
DiscussionLiver T1 and T2 mapping is feasible and reproducible and the provided normal ranges may help to establish diagnosis and progression of various liver diseases. (Source: Magnetic Resonance Materials in Physics, Biology and Medicine)
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - November 29, 2023 Category: Materials Science Source Type: research
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 enhancing low Signal-to-Noise Ratio (SNR) and undersampled MRI in various acquisition protocols. The objective is to determine the validity of differences between different DUNet configurations and their impact on image quality metrics.Materials and MethodsTo achieve this, we trained all DUNets using the same learning rate and number of epochs, with variations in 5 acquisition protocols, 24 loss function weightings, and 2 ground truths. We calculated evaluation metrics for two metric regions of interest (ROI)....
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - November 21, 2023 Category: Materials Science Source Type: research
Improvement of image quality in diffusion-weighted imaging with model-based deep learning reconstruction for evaluations of the head and neck
DiscussionDL-based image reconstruction with the model-based technique effectively provided sufficient image quality in head/neck DWI. (Source: Magnetic Resonance Materials in Physics, Biology and Medicine)
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - November 21, 2023 Category: Materials Science Source Type: research
