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Assessing Cortical Cerebral Microinfarcts on High Resolution MR Images

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Published on: November 20, 2015

Visual grading of 2D and 3D functional MRI compared with image-based descriptive measures.

Mattias Ragnehed¹, Olof Dahlqvist Leinhard, Johan Pihlsgård

¹Division of Radiological Sciences, Radiology, IMH, Linköping University, Linköping, Sweden. mattias.ragnehed@liu.se

European Radiology

|September 4, 2009

Summary

Comparing 2D and 3D functional magnetic resonance imaging (fMRI) sequences revealed that descriptive measures like activation volume do not always correlate with diagnostic quality. Including diagnostic quality assessments is crucial for selecting optimal fMRI sequences.

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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

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Area of Science:

Neuroimaging
Medical Imaging Analysis

Background:

Clinical application of functional magnetic resonance imaging (fMRI) relies on selecting optimal imaging sequences.
Evaluating fMRI sequences requires robust quality assessment methods.

Purpose of the Study:

To compare 2D and 3D fMRI sequences.
To assess image quality using both descriptive measures and visual grading characteristics (VGC).

Main Methods:

Comparison of descriptive image measures: activation volume and temporal signal-to-noise ratio (TSNR).
Evaluation using visual grading characteristics (VGC) analysis.

Main Results:

No direct correlation found between activation volume/TSNR and VGC scores.
Improved descriptive measures do not consistently indicate enhanced diagnostic quality in fMRI.

Conclusions:

Descriptive image measures alone are insufficient for comparing fMRI acquisition methods.
Incorporating diagnostic quality assessments is essential for selecting superior fMRI sequences.