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EvIdent: a functional magnetic resonance image analysis system.

N J Pizzi¹, R A Vivanco, R L Somorjai

¹Institute for Biodiagnostics, National Research Council, 435 Ellice Avenue, Man., R3B 1Y6, Winnipeg, Canada. pizzi@nrc.ca

Artificial Intelligence in Medicine

|January 13, 2001

Summary

EvIdent software aids in detecting novel events in image data, such as neural activations in neuroimages. Its core fuzzy clustering algorithm avoids suspect biological function models for robust exploratory data analysis.

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Area of Science:

Data analysis
Image processing
Neuroimaging

Background:

Exploratory data analysis requires tools for detecting novel events.
Traditional methods may rely on statistically questionable biological function models.

Purpose of the Study:

Introduce EvIdent (EVent IDENTification) software for event detection.
Provide a user-friendly, algorithm-rich platform for exploratory data analysis.

Main Methods:

Utilizes an enhanced fuzzy c-means clustering algorithm.
Focuses on detecting and visualizing events evolving in time and/or frequency.

Main Results:

Enables quick detection and investigation of novel events in image series.

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Demonstrates application in functional magnetic resonance neuroimages for neural activation detection.

Conclusions:

EvIdent offers a robust alternative to model-dependent analyses.
Fuzzy clustering simplifies the detection of emergent phenomena in complex datasets.