Investigating skeletal muscle micro-trauma with time-dependent diffusion and the random permeable barrier model.

Repeated muscle micro-trauma may cause severe muscle damage. Diffusion tensor imaging (DTI) exhibits sensitivity to microstructural changes in skeletal muscle. We hypothesize that longer diffusion times enhance sensitivity to micro-trauma and that membrane permeability increases with micro-trauma.

Feasibility of 4D-flow CMR for haemodynamic characterization in hypertrophic cardiomyopathy after septal myectomy with and without anterior mitral valve leaflet extension.

Objectives: The common surgical treatment in patients with obstructive hypertrophic cardiomyopathy is septal myectomy. This involves resection of a segment of the myocardial septum and can be performed with and without concomitant anterior mitral valve leaflet extension (AMVLE). While both approaches have satisfying clinical outcomes, there is a lack of data regarding the added value of concomitant AMVLE.

The effect of mobile phone electromagnetic fields on the human resting state wake EEG and event-related potential: A systematic review and meta-analysis.

The rapid growth of mobile phone usage and its use of radiofrequency electromagnetic fields (RF-EMF) have raised concerns about potential health risks. Researchers have conducted studies to examine the effects of RF-EMF on the brain using electroencephalography (EEG). We conducted a systematic quality assessment and meta-analysis of published research in this field to establish high-quality studies as references for future protocols.

A signal model for fat-suppressed T-mapping and dynamic contrast-enhanced MRI with interrupted spoiled gradient-echo readout.

The conventional gradient-echo steady-state signal model is the basis of various spoiled gradient-echo (SPGR) based quantitative MRI models, including variable flip angle (VFA) MRI and dynamic contrast-enhanced MRI (DCE). However, including preparation pulses, such as fat suppression or saturation bands, disrupts the steady-state and leads to a bias in T and DCE parameter estimates. This work introduces a signal model that improves the accuracy of VFA T-mapping and DCE for interrupted spoiled gradient-echo (I-SPGR) acquisitions.