Technical Program

Paper Detail

Paper:	SU-AM-PS3.2
Session:	Image Guided Detection and Diagnosis
Time:	Sunday, April 9, 10:50 - 12:10
Presentation:	Poster
Title:	A Maximum Likelihood Method for Estimating the Parameters of a Search Model
Authors:	Dev Chakraborty; University of Pittsburgh
	Hong-Jun Yoon; University of Pittsburgh
Abstract:	During case interpretation the radiologist searches a patient's image for possible lesions and marks and rates any perceived suspicious regions. A model is described for the mark-rating pairs generated in such interpretations, which is closely paralleled by the free-response receiver operating characteristic (FROC) paradigm. The search model has parameters quantifying perceived lesion signal-to-noise-ratio, the observer's ability to avoid making false positives, and the observer's ability to find lesions. A method for estimating the model parameters from the observer's FROC or receiver operating characteristic (ROC) data and a preliminary validation of the procedure are described. Since search is a fundamental aspect of many activities in both human and machine vision, the ability to estimate the parameters of the search model from observer data may have considerable significance.

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