Related Experiment Video
Updated: May 26, 2026

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
Published on: February 19, 2021
Multiecho Fat-Water Spiral MR Elastography With Distributed Encoding for Simultaneously Imaging Brain and Skull
Alexa M Diano1, Alex M Cerjanic1,2, Olivia M Bailey1
1Department of Biomedical Engineering, University of Delaware, Newark, Delaware, USA.
A new multiecho, multishot spiral MR elastography (MRE) sequence images brain and skull displacement simultaneously. This technique aids in understanding traumatic brain injury biomechanics.
Area of Science:
- Medical Imaging
- Biophysics
- Neuroscience
Background:
- Traumatic brain injury (TBI) computational models require accurate brain-skull displacement data.
- Current Magnetic Resonance Elastography (MRE) methods may not fully capture simultaneous brain and skull motion.
Purpose of the Study:
- Introduce a novel multiecho, multishot spiral MRE sequence.
- Enable simultaneous imaging of brain and skull displacement.
- Utilize joint fat-water reconstruction and distributed motion encoding.
Main Methods:
- Implemented multiple echo times within a high-resolution multishot spiral MRE sequence.
- Captured both water-based brain and fat-based skull signals in a single acquisition.
- Optimized a joint fat-water reconstruction and incorporated distributed motion encoding to reduce scan time.
Main Results:
- Successfully imaged brain and skull displacement concurrently.
- Validated the sequence against a reference EPI MRE scan, showing no significant differences in mechanical properties.
- Observed variable relative brain-skull displacement, with greater brain motion amplitude anteriorly.
Conclusions:
- The developed multiecho fat-water spiral MRE sequence is a promising in vivo tool.
- This technique can quantify brain-skull displacement.
- It holds potential for enhancing computational modeling of TBI.
More Related Videos
10:143D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol
Published on: May 12, 2019
15:48Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014