Literature DB >> 8478167

A perceptually based method for enhancing pulmonary nodule recognition.

E A Krupinski1, C F Nodine, H L Kundel.   

Abstract

RATIONALE AND
OBJECTIVES: Feedback of chest areas receiving prolonged gaze durations significantly increases nodule detection performance. Why feedback circling enhances performance when other cueing methods produce equivocal results was assessed.
METHODS: Chest and noise images with nodule targets were used to determine: what type of cue is most effective; whether circling influences the way the eye samples the target; whether circling limits processing of distracting information outside its boundary.
RESULTS: Circling improves performance more than cues with less complete boundaries and increases the accuracy and frequency with which nodules are fixated. Outside distractors were detected less often with than without the circle present.
CONCLUSIONS: Circling isolates the abnormal region from the rest of the image, making disembedding and integration of nodule features more likely and insulates this region from distractors. The facilitative effects of circling are generalizable to other images in which low contrast targets are embedded in noisy backgrounds.

Mesh:

Year:  1993        PMID: 8478167     DOI: 10.1097/00004424-199304000-00004

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


  6 in total

1.  ACR-AAPM-SIIM practice guideline for determinants of image quality in digital mammography.

Authors:  Kalpana M Kanal; Elizabeth Krupinski; Eric A Berns; William R Geiser; Andrew Karellas; Martha B Mainiero; Melissa C Martin; Samir B Patel; Daniel L Rubin; Jon D Shepard; Eliot L Siegel; Judith A Wolfman; Tariq A Mian; Mary C Mahoney
Journal:  J Digit Imaging       Date:  2013-02       Impact factor: 4.056

Review 2.  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

3.  Perceptual enhancement of tumor targets in chest X-ray images.

Authors:  E A Krupinski; C F Nodine; H L Kundel
Journal:  Percept Psychophys       Date:  1993-05

4.  Quantified visual scoring of metastatic melanoma patient treatment response using computed tomography: improving on the current standard.

Authors:  Ronald H Gottlieb; Elizabeth Krupinski; Pavani Chalasani; Lee Cranmer
Journal:  J Digit Imaging       Date:  2012-04       Impact factor: 4.056

5.  The effect of computer-aided detection markers on visual search and reader performance during concurrent reading of CT colonography.

Authors:  Emma Helbren; Thomas R Fanshawe; Peter Phillips; Susan Mallett; Darren Boone; Alastair Gale; Douglas G Altman; Stuart A Taylor; David Manning; Steve Halligan
Journal:  Eur Radiol       Date:  2015-01-12       Impact factor: 5.315

Review 6.  Errors in Mammography Cannot be Solved Through Technology Alone

Authors:  Ernest Usang Ekpo; Maram Alakhras; Patrick Brennan
Journal:  Asian Pac J Cancer Prev       Date:  2018-02-26
  6 in total

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