Literature DB >> 17412094

History of research in medical image perception.

Harold L Kundel1.   

Abstract

Human observers engage in 2 interrelated processes when interpreting medical images: perception and analysis. Perception is the unified awareness of the content of a displayed image that is present while the stimulus is on. Analysis is determining the meaning of the perception in the context of the medical problem that initiated the acquisition of the image. Radiologists have, correctly, regarded image analysis as their primary field of research. They have naively assumed that what they perceive in images is a faithful representation of the images' information content and have not been concerned with perception unless it fails. Failures have stimulated research on quantifying observer performance, defining image quality, and understanding perceptual error. This article traces the historical development of the use of receiver operating characteristic analysis for describing performance, the development of signal-to-noise ratio psychophysical models for defining task-dependent image quality, studies of error in small lesion detection, and the beginnings of studies of the nature of expertise in image interpretation. The history is traced through published articles.

Entities:  

Mesh:

Year:  2006        PMID: 17412094     DOI: 10.1016/j.jacr.2006.02.023

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  19 in total

1.  Diagnostic errors in pediatric radiology.

Authors:  George A Taylor; Stephan D Voss; Patrice R Melvin; Dionne A Graham
Journal:  Pediatr Radiol       Date:  2010-09-09

2.  Reducing error in radiographic interpretation.

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

3.  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

4.  Video summarization based tele-endoscopy: a service to efficiently manage visual data generated during wireless capsule endoscopy procedure.

Authors:  Irfan Mehmood; Muhammad Sajjad; Sung Wook Baik
Journal:  J Med Syst       Date:  2014-07-19       Impact factor: 4.460

5.  The effect of expert knowledge on medical search: medical experts have specialized abilities for detecting serious lesions.

Authors:  Ryoichi Nakashima; Chisaki Watanabe; Eriko Maeda; Takeharu Yoshikawa; Izuru Matsuda; Soichiro Miki; Kazuhiko Yokosawa
Journal:  Psychol Res       Date:  2014-10-01

6.  Clinical Validation Is the Key to Adopting AI in Clinical Practice.

Authors:  Francine L Jacobson; Elizabeth A Krupinski
Journal:  Radiol Artif Intell       Date:  2021-06-16

7.  Search pattern training for evaluation of central venous catheter positioning on chest radiographs.

Authors:  William F Auffermann; Elizabeth A Krupinski; Srini Tridandapani
Journal:  J Med Imaging (Bellingham)       Date:  2018-03-15

8.  Perceptual training: learning versus attentional shift.

Authors:  Soham Banerjee; Trafton Drew; Megan K Mills; William F Auffermann
Journal:  J Med Imaging (Bellingham)       Date:  2019-12-31

Review 9.  Clinical utility of quantitative imaging.

Authors:  Andrew B Rosenkrantz; Mishal Mendiratta-Lala; Brian J Bartholmai; Dhakshinamoorthy Ganeshan; Richard G Abramson; Kirsteen R Burton; John-Paul J Yu; Ernest M Scalzetti; Thomas E Yankeelov; Rathan M Subramaniam; Leon Lenchik
Journal:  Acad Radiol       Date:  2014-10-22       Impact factor: 3.173

10.  Quantitative computed tomography imaging of interstitial lung diseases.

Authors:  Brian J Bartholmai; Sushravya Raghunath; Ronald A Karwoski; Teng Moua; Srinivasan Rajagopalan; Fabien Maldonado; Paul A Decker; Richard A Robb
Journal:  J Thorac Imaging       Date:  2013-09       Impact factor: 3.000

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