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Non-invasive Parenchymal, Vascular and Metabolic High-frequency Ultrasound and Photoacoustic Rat Deep Brain Imaging

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Dynamic visualization of brain pulsations using amplified MRI: methodology and applications.

Haribalan Kumar¹, Mehmet Kurt², Josh McGeown^3,4

¹GE HealthCare, Tairāwhiti-Gisborne, New Zealand.

Interface Focus

|April 7, 2025

Summary

This study quantifies brain pulsatility using amplified MRI and dynamic mode decomposition. Findings suggest altered brain motion may serve as a biomarker for mild traumatic brain injury and elevated intracranial pressure.

Keywords:

amplified MRI (aMRI)brain imaging cine MRI computer vision dynamic imaging dynamic mode decomposition intracranial pulsatility magnetic resonance imaging pulsatile brain motion

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Area of Science:

Biomechanics
Neuroimaging
Physiology

Background:

Brain pulsatility is crucial for understanding cerebral biomechanics, especially in mild traumatic brain injury (mTBI) and elevated intracranial pressure (ICP).
Quantifying brain tissue motion dynamics can provide insights into neurological conditions.

Purpose of the Study:

To quantify brain tissue pulsations using amplified MRI and analyze spatio-temporal motion dynamics with dynamic mode decomposition (DMD).
To investigate changes in brain pulsatility across various physiological and pathological conditions, including heart rate changes, post-lumbar puncture, and post-brain injury.

Main Methods:

Utilized amplified MRI to capture brain tissue pulsations.
Applied dynamic mode decomposition (DMD) for spatio-temporal analysis of motion data.
Examined four use cases: heart rate variations, pre- and post-lumbar puncture, baseline vs. post-brain injury, and test-retest.

Main Results:

Brain tissue motion significantly varied across different conditions.
DMD identified distinct modes and frequencies linked to physiological changes.
Mild traumatic brain injury (mTBI) cases showed increased pulsatile motion post-injury.
Elevated intracranial pressure (ICP) cases demonstrated altered pulsatility post-lumbar puncture, suggesting potential biomarker utility.

Conclusions:

The dynamical analysis approach offers novel insights into physiological and pathological brain pulsatility.
Altered brain pulsatility patterns may serve as biomarkers for mTBI and ICP.
Larger cohorts are needed to validate findings, but the method shows promise for assessing intracranial dynamics in clinical diagnostics and research.