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Automatic knee cartilage and bone segmentation using multi-stage convolutional neural networks: data from the osteoarthritis initiative
DiscussionThe framework learns to automatically segment knee cartilage tissues and bones from MR images acquired with two sequences, producing efficient, accurate quantifications at varying disease severities. (Source: Magnetic Resonance Materials in Physics, Biology and Medicine)
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - June 8, 2021 Category: Materials Science Source Type: research

New method for quantification of intratumoral heterogeneity: a feasibility study on Ktrans maps from preclinical DCE-MRI
DiscussionICF are potential imaging biomarkers for anti-angiogenic therapy assessment. The presented method may be expected to have advantages with respect to texture analysis-based methods regarding interpretability of results and setup of standardized image analysis protocols. (Source: Magnetic Resonance Materials in Physics, Biology and Medicine)
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - June 6, 2021 Category: Materials Science Source Type: research

Test –retest assessment of non-contrast MRI sequences to characterise and quantify the small bowel wall in healthy participants
This study showed variable results between the different parameters measured. Test –retest repeatability was at least acceptable for all parameters except pseudo-diffusion coefficient D*. Good inter- and intra-observer agreement was obtained for T2, ADC and D, with these parameters performing best in this technical validation study. (Source: Magnetic Resonance Materials in Physics, Biology and Medicine)
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - June 5, 2021 Category: Materials Science Source Type: research

IVIM –DKI for differentiation between prostate cancer and benign prostatic hyperplasia: comparison of 1.5 T vs. 3 T MRI
DiscussionIn comparison with the IVIM –DKI model at 3 T, IVIM–DKI signal modeled with the TV penalty function at 1.5 T showed lower estimation errors. The proposed novel model can be utilized for improved detection of prostate lesions. (Source: Magnetic Resonance Materials in Physics, Biology and Medicine)
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - May 29, 2021 Category: Materials Science Source Type: research

Quantitative comparison of subcortical and ventricular volumetry derived from MPRAGE and MP2RAGE images using different brain morphometry software
ConclusionMP2RAGE sequences and MorphoBox are valid options for assessing subcortical and ventricular volumes, in the same way as MPRAGE and FIRST or ALVIN, accepted tools for clinical research. However, caution is needed when comparing volumes obtained with different tools. (Source: Magnetic Resonance Materials in Physics, Biology and Medicine)
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - May 29, 2021 Category: Materials Science Source Type: research

In memoriam: John R. Mallard (1927 –2021)
(Source: Magnetic Resonance Materials in Physics, Biology and Medicine)
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - May 20, 2021 Category: Materials Science Source Type: research

Contribution of preclinical MRI to responsible animal research: living up to the 3R principle
(Source: Magnetic Resonance Materials in Physics, Biology and Medicine)
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - May 19, 2021 Category: Materials Science Source Type: research

Survey of water proton longitudinal relaxation in liver in vivo
DiscussionThe within-study between-subject CoV incorporates repeatability error and true between-subject variation. Between-study variation also incorporates between-population variation, together with bias from interactions between methodology and physiology. While quantitative relaxometry ultimately requires validation with phantoms and analysis of propagation of errors, this survey allows investigators to compare their ownR1 and variability values with the range of existing literature. (Source: Magnetic Resonance Materials in Physics, Biology and Medicine)
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - May 12, 2021 Category: Materials Science Source Type: research

Comparison of 2D and 3D quiescent-interval slice-selective non-contrast MR angiography in patients with peripheral artery disease
DiscussionThe prototype 3D tsSOS-QISS technique provides similar accuracy in patients with PAD to a standard commercially available 2D-QISS technique, indicating that the use of relatively thick slices does not limit the diagnostic performance of 2D-QISS. However, subjective image quality for branch vessel depiction is improved using the 3D approach. (Source: Magnetic Resonance Materials in Physics, Biology and Medicine)
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - May 8, 2021 Category: Materials Science Source Type: research

Whole-brain 3D MR fingerprinting brain imaging: clinical validation and feasibility to patients with meningioma
ConclusionsPhantom measurements indicate that the proposed 3D-MRF sequence relaxometry estimations are valid and reproducible. For in vivo, entire brain coverage was obtained in clinically feasible time and allows quantitative assessment of meningioma in clinical practice. (Source: Magnetic Resonance Materials in Physics, Biology and Medicine)
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - May 4, 2021 Category: Materials Science Source Type: research

Identification of intra-individual variation in intracranial arterial flow by MRI and the effect on computed hemodynamic descriptors
ConclusionThis study identified 10% of intra-individual mean flow variation on phase-contrast MR. Intra-individual flow variation resulted in a non-negligible variation in wall shear stress, but relatively small variation in low shear area in hemodynamic calculations. (Source: Magnetic Resonance Materials in Physics, Biology and Medicine)
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - April 11, 2021 Category: Materials Science Source Type: research

Influence of motion correction on the visual analysis of cardiac magnetic resonance stress perfusion imaging
ConclusionsThe comparison of perfusion images acquired during free-breathing and post-processed with and without motion correction demonstrated that both methods led to a consistent evaluation of the perfusion pattern, while the image quality and the reader ’s subjective confidence to assess the images were rated more favorably for MoCo. (Source: Magnetic Resonance Materials in Physics, Biology and Medicine)
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - April 11, 2021 Category: Materials Science Source Type: research

Overestimation of grey matter atrophy in glioblastoma patients following radio(chemo)therapy
ConclusionsFor accurate normal tissue volume measurements in brain tumour patients using SPM, abnormal tissue needs to be masked prior to segmentation, however, this is not necessary when using FSL. (Source: Magnetic Resonance Materials in Physics, Biology and Medicine)
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - March 31, 2021 Category: Materials Science Source Type: research

Transfer learning in deep neural network-based receiver coil sensitivity map estimation
AbstractIntroductionThe success of parallel Magnetic Resonance Imaging algorithms like SENSitivity Encoding (SENSE) depends on an accurate estimation of the receiver coil sensitivity maps. Deep learning-based receiver coil sensitivity map estimation depends upon the size of training dataset and generalization capabilities of the trained neural network. When there is a mismatch between the training and testing datasets, retraining of the neural networks is required from a scratch which is costly and time consuming.Materials and methodsA transfer learning approach, i.e., end-to-end fine-tuning is proposed to address the data...
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - March 27, 2021 Category: Materials Science Source Type: research

Shimming —the forgotten child of in-vivo MR?
(Source: Magnetic Resonance Materials in Physics, Biology and Medicine)
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - March 25, 2021 Category: Materials Science Source Type: research