Literature DB >> 1938287

Searching for lung nodules. The guidance of visual scanning.

H L Kundel1, C F Nodine, L Toto.   

Abstract

Four subjects searched a chest image for lung nodules using an eye position-dependent display that presented the image of a nodule selectively to either the central or peripheral visual field, while preserving the appearance of the chest. The time required to scan the image and fixate the nodule was shortest for nodules that were both reported and accessible to the peripheral vision. A stepwise concentric reduction in the size of the peripheral field that could access the nodules only affected search performance when the field was less than 5 degrees. (A chest image subtends about 25 degrees.) These data support the hypothesis that the optimal scanning strategy for lung nodules consists of spacing fixation clusters 5 degrees apart, and that peripheral vision only acts as an adjunct in guiding the gaze to inconspicuous nodules.

Mesh:

Year:  1991        PMID: 1938287     DOI: 10.1097/00004424-199109000-00001

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


  14 in total

1.  Computational assessment of visual search strategies in volumetric medical images.

Authors:  Gezheng Wen; Avigael Aizenman; Trafton Drew; Jeremy M Wolfe; Tamara Miner Haygood; Mia K Markey
Journal:  J Med Imaging (Bellingham)       Date:  2016-01-06

2.  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

3.  Visualising scanning patterns of pathologists in the grading of cervical intraepithelial neoplasia.

Authors:  E S M Tiersma; A A W Peters; H A Mooij; G J Fleuren
Journal:  J Clin Pathol       Date:  2003-09       Impact factor: 3.411

4.  The Medical Image Perception Society update on key issues for image perception research.

Authors:  Elizabeth A Krupinski; Kevin S Berbaum
Journal:  Radiology       Date:  2009-08-25       Impact factor: 11.105

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

Review 7.  Review of prospects and challenges of eye tracking in volumetric imaging.

Authors:  Antje C Venjakob; Claudia R Mello-Thoms
Journal:  J Med Imaging (Bellingham)       Date:  2015-09-29

8.  Comparative study of computational visual attention models on two-dimensional medical images.

Authors:  Gezheng Wen; Brenda Rodriguez-Niño; Furkan Y Pecen; David J Vining; Naveen Garg; Mia K Markey
Journal:  J Med Imaging (Bellingham)       Date:  2017-05-10

9.  Can a Machine Learn from Radiologists' Visual Search Behaviour and Their Interpretation of Mammograms-a Deep-Learning Study.

Authors:  Suneeta Mall; Patrick C Brennan; Claudia Mello-Thoms
Journal:  J Digit Imaging       Date:  2019-10       Impact factor: 4.056

10.  Modeling visual search behavior of breast radiologists using a deep convolution neural network.

Authors:  Suneeta Mall; Patrick C Brennan; Claudia Mello-Thoms
Journal:  J Med Imaging (Bellingham)       Date:  2018-08-11
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