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Acquisition-related morphological variability in structural MRI.

Arne Littmann¹, Jens Guehring, Christian Buechel

¹Siemens Medical Solutions, Magnetic Resonance, MREA, Karl-Schall-Str 6, 91052 Erlangen, Germany. arne.littmann@siemens.com

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Summary

Image acquisition imperfections and patient repositioning limit the accuracy of magnetic resonance imaging (MRI) morphometry. Subtle morphological changes in MRI data can be masked by these inherent data limitations.

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Area of Science:

Medical Imaging
Neuroimaging
Biomedical Engineering

Background:

Magnetic resonance imaging (MRI) morphometry aims for precise anatomical measurements but is challenged by image distortions.
Existing image-processing algorithms often overlook the impact of input image imperfections on morphometric validity.

Purpose of the Study:

To characterize site-specific geometric distortions in MRI data.
To assess the extent to which data acquisition imperfections limit the detection of subtle morphological changes in MRI.

Main Methods:

Developed a method to characterize site-specific geometric distortions.
Conducted a long-term study using state-of-the-art MRI scanners, including phantom and human volunteer data.
Accounted for hardware stability and patient repositioning variations.

Main Results:

Phantom data showed maximal relative morphological changes of 1.0 mm (positional) and 2.0% (volumetric).
Human volunteer data exhibited greater variability (up to 5% local gray matter volume change) due to movement and segmentation limitations.
These findings highlight significant morphological variability introduced by the acquisition process.

Conclusions:

MRI data acquisition imperfections, including patient repositioning, can significantly confound the study of subtle morphological changes.
The reliability of MRI morphometry is substantially impacted by inherent limitations in the data acquisition process.
Further research is needed to address these limitations for more accurate morphometric analysis.