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Dynamic Contrast Enhanced Magnetic Resonance Imaging of an Orthotopic Pancreatic Cancer Mouse Model

Dynamic Contrast Enhanced Magnetic Resonance Imaging of an Orthotopic Pancreatic Cancer Mouse Model

Published on: April 18, 2015

Improved dynamic susceptibility contrast (DSC)-MR perfusion estimates by motion correction.

Robert K Kosior¹, Jayme C Kosior, Richard Frayne

¹Department of Electrical and Computer Engineering, University of Calgary, Calgary, Alberta, Canada.

Journal of Magnetic Resonance Imaging : JMRI

|September 27, 2007

Summary

Patient motion during MRI scans significantly impacts quantitative cerebral blood flow (CBF) maps in stroke patients. A motion-correction technique using rigid-body registration improves the accuracy of CBF estimates and lesion delineation.

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Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring

Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring

Published on: December 9, 2010

Area of Science:

Neuroimaging
Medical Physics
Radiology

Background:

Quantitative cerebral blood flow (CBF) mapping is crucial for diagnosing and managing ischemic stroke.
Patient motion during perfusion MRI can introduce significant artifacts, compromising the accuracy of CBF measurements.
Effective motion correction strategies are needed to enhance the diagnostic value of CBF imaging.

Purpose of the Study:

To assess the impact of patient motion on quantitative CBF maps in ischemic stroke patients.
To evaluate the effectiveness of a rigid-body registration-based motion-correction scheme for improving CBF accuracy.

Main Methods:

Perfusion data from 25 ischemic stroke patients were analyzed.
Motion profiles were applied to a brain phantom to validate accuracy.
Rigid-body registration was employed for motion correction.
Realignment parameters and mean CBF in regions of interest were recorded.

Main Results:

Motion correction visibly reduced intervolume misalignment in patient data.
Improved delineation of ischemic lesions and tissue differentiation was observed post-correction.
Significant differences in ischemic lesion CBF were noted in patients with severe motion (P < 0.05).
Phantom data confirmed improved CBF accuracy and high registration precision (<1 mm, <1°).

Conclusions:

Patient motion degrades flow differentiation in CBF maps and can lead to underestimation of ischemic severity.
A registration-based motion correction scheme enhances the reliability of dynamic susceptibility contrast (DSC)-MR perfusion estimates.