Literature DB >> 2262541

Visual cues in the interpretation of medical images.

H L Kundel1.   

Abstract

The use of the computer in imaging has provided great versatility for the display of medical image information. In order to be useful in a medical sense, the display must be perceptually acceptable to the human observer, who must be able to extract the relevant diagnostic information from the image. Diagnostic information is defined by the imaging task, and the concept of task-dependent image quality is, therefore, very important. Visualization and estimation tasks may require different visual cues for their performance. Visualization tasks require strong boundary cues, whereas intensity estimation tasks require texture cues. Both tasks can be aided by appropriate image displays. Color can be helpful in estimation tasks, and three-dimensional display can aid visualization tasks. No matter what the task or the image, as long as an observer is needed to read out the information, performance is the final arbiter of the goodness of the image.

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Year:  1990        PMID: 2262541     DOI: 10.1097/00004691-199010000-00003

Source DB:  PubMed          Journal:  J Clin Neurophysiol        ISSN: 0736-0258            Impact factor:   2.177


  3 in total

1.  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

2.  A validated subjective rating of display quality: the Maryland Visual Comfort Scale.

Authors:  F Jacob Seagull; Erica Sutton; Tommy Lee; Carlos Godinez; Gyusung Lee; Adrian Park
Journal:  Surg Endosc       Date:  2010-07-30       Impact factor: 4.584

3.  Introduction to perceptual linearization of video display systems for medical image presentation.

Authors:  B M Hemminger; R E Johnston; J P Rolland; K E Muller
Journal:  J Digit Imaging       Date:  1995-02       Impact factor: 4.056

  3 in total

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