Literature DB >> 11153684

The importance of perception research in medical imaging.

E A Krupinski1.   

Abstract

The goal of this paper is to provide the reader with an introduction to the importance of perception research in medical imaging. It is well known that radiologists' performance is not perfect: they make both false positive and false negative decisions, both of which can impact on patient care and treatment. Some of these errors can be attributed to technical difficulties such as underexposing a plain film X-ray image. Such technical explanations cannot, however, account for all the errors that are made; missed lesions are often found in retrospect. These errors can be attributed to perceptual and/or cognitive factors. The study of why these perceptual and cognitive errors occur and what steps can be taken to ameliorate them is a relatively small but growing area in the field of medical imaging. Understanding the capabilities of the human visual system with respect to medical imaging is becoming even more important as we make the transition from the traditional film-based display to soft-copy monitor viewing of medical images. If we understand what the human visual system is capable of, we can tailor the display of medical information to take advantage of these perceptual capacities.

Entities:  

Mesh:

Year:  2000        PMID: 11153684

Source DB:  PubMed          Journal:  Radiat Med        ISSN: 0288-2043


  12 in total

1.  Reducing error in radiographic interpretation.

Authors:  Kate Alexander
Journal:  Can Vet J       Date:  2010-05       Impact factor: 1.008

2.  Investigating the link between radiologists' gaze, diagnostic decision, and image content.

Authors:  Georgia Tourassi; Sophie Voisin; Vincent Paquit; Elizabeth Krupinski
Journal:  J Am Med Inform Assoc       Date:  2013-06-20       Impact factor: 4.497

3.  Bayesian framework inspired no-reference region-of-interest quality measure for brain MRI images.

Authors:  Michael Osadebey; Marius Pedersen; Douglas Arnold; Katrina Wendel-Mitoraj
Journal:  J Med Imaging (Bellingham)       Date:  2017-06-13

4.  Cognitive processing differences of experts and novices when correlating anatomy and cross-sectional imaging.

Authors:  Lonie R Salkowski; Rosemary Russ
Journal:  J Med Imaging (Bellingham)       Date:  2018-05-18

5.  Addressing the coming radiology crisis-the Society for Computer Applications in Radiology transforming the radiological interpretation process (TRIP) initiative.

Authors:  Katherine P Andriole; Richard L Morin; Ronald L Arenson; John A Carrino; Bradley J Erickson; Steven C Horii; David W Piraino; Bruce I Reiner; J Anthony Seibert; Eliot Siegel
Journal:  J Digit Imaging       Date:  2004-11-25       Impact factor: 4.056

6.  Visual expertise in detecting and diagnosing skeletal fractures.

Authors:  Greg Wood; Karen M Knapp; Benjamin Rock; Chris Cousens; Carl Roobottom; Mark R Wilson
Journal:  Skeletal Radiol       Date:  2012-09-01       Impact factor: 2.199

7.  Image Quality Evaluation in Clinical Research: A Case Study on Brain and Cardiac MRI Images in Multi-Center Clinical Trials.

Authors:  Michael Osadebey; Marius Pedersen; Douglas Arnold; Katrina Wendel-Mitoraj
Journal:  IEEE J Transl Eng Health Med       Date:  2018-08-23       Impact factor: 3.316

8.  Distraction in diagnostic radiology: How is search through volumetric medical images affected by interruptions?

Authors:  Lauren H Williams; Trafton Drew
Journal:  Cogn Res Princ Implic       Date:  2017-02-20

9.  Systematic viewing in radiology: seeing more, missing less?

Authors:  Ellen M Kok; Halszka Jarodzka; Anique B H de Bruin; Hussain A N BinAmir; Simon G F Robben; Jeroen J G van Merriënboer
Journal:  Adv Health Sci Educ Theory Pract       Date:  2015-07-31       Impact factor: 3.853

10.  Computational framework for fusing eye movements and spoken narratives for image annotation.

Authors:  Preethi Vaidyanathan; Emily Prud'hommeaux; Cecilia O Alm; Jeff B Pelz
Journal:  J Vis       Date:  2020-07-01       Impact factor: 2.240

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