Image Size Influences Visual Search and Perception of Hemorrhages When Reading Cranial CT

Abstract

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What do we know about volumetric medical image interpretation?: a review of the basic science and medical image perception literatures

“…For example, researchers found that artificially inducing motion cues into static images increased detection ability for both mammograms and chest radiographs (Andia et al, 2009). In addition, researchers tested the prediction that searching in smaller windows would be superior to searching in larger windows in volumetric images because it would increase the ability to detect motion cues using foveal vision (Venjakob, Marnitz, Phillips, & Mello-Thoms, 2016). Although there were no overall differences in accuracy between conditions, a smaller image size was associated with locating abnormalities more quickly.…”

Observer Performance in Computed Tomography Head Reporting

“…42 using CT abdomen and pelvis examinations reflected the complexity of interpreting multiple pathologies in cross-sectional imaging (with volumetric data reconstruction in multiple planes) establishing major discrepancy rates of 25-32%. These perceptual errors in failure to detect disease occurred when multiple lesions were present and combined with a failure of satisfaction of search patterns [42][43][44][45][46][47] . Pinto et al 48 , Stephens et al 49 and Lee et al 50 estimate errors of searching can approximate to 30-43%, and although the reasons are multi-faceted, the main factors are misinterpretations.…”

A collaborative computer aided diagnosis (C-CAD) system with eye-tracking, sparse attentional model, and deep learning

“…Vision scientists have focused on exploring human errors in screening for more than three decades (Kundel et al (1978); Lee et al (2013); McCreadie and Oliver (2009); Al-Moteri et al (2017); Kok and Jarodzka (2017); Venjakob (2015); Drew et al (2013a); Manning et al (2006); Littlefair et al (2017); Tourassi et al (2013)). One way to explore these perceptual errors is to use eye-tracking technology.…”

“…In particular, the interaction between radiologists and computers (either simple PACS or CAD systems) remain untouched except by a few seminal image analysis studies (Drew et al (2013b); Khosravan et al (2016); Venjakob et al (2016)).…”