Literature DB >> 3597010

Searching for lung nodules. A comparison of human performance with random and systematic scanning models.

H L Kundel, C F Nodine, D Thickman, L Toto.   

Abstract

The contrast sensitivity of the retina is greatest in the center and decreases rapidly toward the periphery. Therefore, the detection of low-contrast lung nodules depends upon the manner in which the image is sampled by retinal receptors as eye fixations jump across the image during scanning. The scanning performance of two radiologists was compared with two computed models, a systematic and a random scanner. Although radiologists do not seem to have random scanning patterns, their coverage of the image was matched more closely by the random model. This suggests that radiologists employ a scanning strategy that is designed to cover the image of the lungs in a minimum time using the smallest possible visual field. The visual field size that is most effective in detecting nodules during search has a radius of 3.5 degrees visual angle. Nodule detection may be limited by basic neurologic constraints on human scanning performance.

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Mesh:

Year:  1987        PMID: 3597010     DOI: 10.1097/00004424-198705000-00010

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  20 in total

1.  Fundamental properties of medical image perception.

Authors:  S M Pizer; B M ter Haar Romeny
Journal:  J Digit Imaging       Date:  1991-02       Impact factor: 4.056

2.  Teaching search patterns to medical trainees in an educational laboratory to improve perception of pulmonary nodules.

Authors:  William F Auffermann; Brent P Little; Srini Tridandapani
Journal:  J Med Imaging (Bellingham)       Date:  2015-11-06

3.  Adaptation and visual search in mammographic images.

Authors:  Elysse Kompaniez-Dunigan; Craig K Abbey; John M Boone; Michael A Webster
Journal:  Atten Percept Psychophys       Date:  2015-05       Impact factor: 2.199

4.  Characterization of radiologists' search strategies for lung nodule detection: slice-based versus volumetric displays.

Authors:  Xiao Hui Wang; Janet E Durick; Amy Lu; David L Herbert; Saraswathi K Golla; Kristin Foley; C Samia Piracha; Dilip D Shinde; Betty E Shindel; Carl R Fuhrman; Cynthia A Britton; Diane C Strollo; Sherry S Shang; Joan M Lacomis; Walter F Good
Journal:  J Digit Imaging       Date:  2007-09-15       Impact factor: 4.056

5.  Scanners and drillers: characterizing expert visual search through volumetric images.

Authors:  Trafton Drew; Melissa Le-Hoa Vo; Alex Olwal; Francine Jacobson; Steven E Seltzer; Jeremy M Wolfe
Journal:  J Vis       Date:  2013-08-06       Impact factor: 2.240

Review 6.  Informatics in radiology: what can you see in a single glance and how might this guide visual search in medical images?

Authors:  Trafton Drew; Karla Evans; Melissa L-H Võ; Francine L Jacobson; Jeremy M Wolfe
Journal:  Radiographics       Date:  2012-10-25       Impact factor: 5.333

7.  VFS interjudge reliability using a free and directed search.

Authors:  Karen N Bryant; Eileen Finnegan; Kevin Berbaum
Journal:  Dysphagia       Date:  2011-04-12       Impact factor: 3.438

8.  Comparing search patterns in digital breast tomosynthesis and full-field digital mammography: an eye tracking study.

Authors:  Avi Aizenman; Trafton Drew; Krista A Ehinger; Dianne Georgian-Smith; Jeremy M Wolfe
Journal:  J Med Imaging (Bellingham)       Date:  2017-10-27

9.  Measurement of the useful field of view for single slices of different imaging modalities and targets.

Authors:  Miguel A Lago; Ioannis Sechopoulos; François O Bochud; Miguel P Eckstein
Journal:  J Med Imaging (Bellingham)       Date:  2020-02-08

10.  Visual search in breast imaging.

Authors:  Ziba Gandomkar; Claudia Mello-Thoms
Journal:  Br J Radiol       Date:  2019-07-18       Impact factor: 3.039

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