Foveated Model Observers for Visual Search in 3D Medical Images.

ABSTRACT: Model observers have a long history of success in predicting human observer performance in clinically-relevant detection tasks. New 3D image modalities provide more signal information but vastly increase the search space to be scrutinized. Here, we compared standard linear model observers (ideal observers, non-pre-whitening matched filter with eye filter, and various versions of Channelized Hotelling models) to human performance searching in 3D 1/f^2.8 filtered noise images and assessed its relationship to the more traditional location known exactly detection tasks and 2D search. We investigated two different signal types that vary in their detectability away from the point of fixation (visual periphery). We show that the influence of 3D search on human performance interacts with

SUBMITTER: Lago MA 

PROVIDER: S-EPMC7994931 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature