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Using Fisher information to approximate ideal-observer performance on detection tasks for lumpy-background images

Fangfang Shen1, Eric Clarkson

  • 1Department of Radiology, University of Arizona, Tucson 85724-5067, USA.

Journal of the Optical Society of America. A, Optics, Image Science, and Vision
|September 21, 2006
PubMed
Summary

This study introduces a computationally efficient approximation for evaluating Bayesian ideal observer performance in medical imaging systems. The Fisher information matrix provides a reliable figure of merit for system evaluation and links detection and estimation tasks.

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Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...