Journal of magnetic resonance imaging : JMRI
Journal of magnetic resonance imaging : JMRI
Audio Summaries
Every issue of Journal of magnetic resonance imaging : JMRI moves the field forward, but reading every paper cover-to-cover isn't realistic. OSLR turns each article into a 3-minute audio summary so you can stay current while you commute, round, or work out.
Specialties
Journal of magnetic resonance imaging : JMRI covers research in these specialties.
Recent summaries
The latest articles summarized from Journal of magnetic resonance imaging : JMRI.
B1+rms for Implants: A Review of Intended Use
Jun 12, 2026
The authors aim to clarify the advantages of the B1+rms metric over the Specific Absorption Rate (SAR) for assessing radiofrequency exposure in Active Implantable Medical Devices (AIMDs) during MRI procedures. They highlight that while SAR is traditionally used for patient safety, B1+rms offers a more precise evaluation of AIMD/RF interactions, thereby improving the safety and effectiveness of MR Conditional labeling. The review addresses common confusions regarding B1+rms computation and application, ultimately advocating for its adoption in clinical settings.
Effects of Acute Aerobic Exercise and Task Repetition on the Neural Correlates of Executive Function in Young and Older Adults: A Crossover fMRI Study
Jun 11, 2026
This study investigates how acute aerobic exercise and task repetition influence brain activity related to executive function in young and older adults during a task-switching paradigm. The results indicate that older adults show greater task-related brain activation compared to younger adults, and while task repetition reduces activation across both age groups, acute aerobic exercise appears to preserve certain neural functions without significant behavioral improvements. Overall, the findings suggest that exercise may have a modest impact on executive function neural correlates, particularly in older adults.
MR Imaging-Based Biomarkers for Strength Prediction: A Statistical Shape and Architecture Modeling of Quadriceps Muscles
Jun 11, 2026
The authors investigate whether muscle strength can be predicted using features of muscle shape and architecture, rather than solely relying on muscle mass. Their study, involving 24 healthy subjects, finds that shape-only models significantly improve predictions of eccentric and isometric torque compared to muscle volume alone, suggesting the potential for developing imaging-based biomarkers for muscle strength. However, incorporating architectural features did not enhance model performance, indicating that shape characteristics may be more critical for strength prediction.
