Evidence map›Paper›PMID 29399622›Full record

ArticleCognitive research: principles and implications2018

Visual adaptation and the amplitude spectra of radiological images.

Elysse Kompaniez-Dunigan, Craig K Abbey, John M Boone, Michael A Webster

Open access · goldAbstract read
In one paragraph

Article in Cognitive research: principles and implications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Serial dependence in the perceptual judgments of radiologists.Cognitive research: principles and implications · 2021
    Article
  8. Fatigue in radiology: a fertile area for future research.The British journal of radiology · 2019
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Elysse Kompaniez-Dunigan1Department of Psychology, University of Nevada, Reno, NV USA.
Craig K Abbey2Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA USA.
John M Boone3Department of Radiology and Biomeidcal Engineering, University of California, Davis, CA USA.
Michael A Webster1Department of Psychology, University of Nevada, Reno, NV USA.
University of Nevada, Reno · USUniversity of California, Davis · USUniversity of California, Santa Barbara · US

Funding

SALIENCE, ADAPTATION, AND NATURAL IMAGE STATISTICSR01EY010834 · NEI · UNIVERSITY OF NEVADA RENO · PI WEBSTER, MICHAEL A · 2000 to 2023
$4.6M
Breast CT: Final Steps to TranslationR01CA181081 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BOONE, JOHN M · 2015 to 2019
$2.9M
COLOR CONTRAST ADAPTATIONR29EY010834 · NEI · UNIVERSITY OF NEVADA RENO · PI WEBSTER, MICHAEL A · 1995 to 1999
–
NCI NIH HHS R01 CA181081NEI NIH HHS R01 EY010834NEI NIH HHS R29 EY010834
6 · The paper itself

Abstract

We examined how visual sensitivity and perception are affected by adaptation to the characteristic amplitude spectra of X-ray mammography images. Because of the transmissive nature of X-ray photons, these images have relatively more low-frequency variability than natural images, a difference that is captured by a steeper slope of the amplitude spectrum (~ - 1.5) compared to the ~ 1/f (slope of - 1) spectra common to natural scenes. Radiologists inspecting these images are therefore exposed to a different balance of spectral components, and we measured how this exposure might alter spatial vision. Observers (who were not radiologists) were adapted to images of normal mammograms or the same images sharpened by filtering the amplitude spectra to shallower slopes. Prior adaptation to the original mammograms significantly biased judgments of image focus relative to the sharpened images, demonstrating that the images are sufficient to induce substantial after-effects. The adaptation also induced strong losses in threshold contrast sensitivity that were selective for lower spatial frequencies, though these losses were very similar to the threshold changes induced by the sharpened images. Visual search for targets (Gaussian blobs) added to the images was also not differentially affected by adaptation to the original or sharper images. These results complement our previous studies examining how observers adapt to the textural properties or phase spectra of mammograms. Like the phase spectrum, adaptation to the amplitude spectrum of mammograms alters spatial sensitivity and visual judgments about the images. However, unlike the phase spectrum, adaptation to the amplitude spectra did not confer a selective performance advantage relative to more natural spectra.

Indexed as

AdaptationBlur perceptionMedical imagesNatural image statisticsSpatial contrast sensitivitySpatial visionVisual search

Identifiers

PMID29399622
PMCPMC5783991
OpenAlexW2800767833

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.