Evidence map›Paper›PMID 31572746›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2019

Optimization of the difference-of-Gaussian channel sets for the channelized Hotelling observer.

Christiana Balta, Ramona W Bouwman, Mireille J M Broeders, Nico Karssemeijer, Wouter J H Veldkamp, Ioannis Sechopoulos, Ruben E van Engen

Abstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Christiana BaltaDutch Expert Centre for Screening (LRCB), Nijmegen, The Netherlands.
Ramona W BouwmanDutch Expert Centre for Screening (LRCB), Nijmegen, The Netherlands.ORCID https://orcid.org/0000-0002-5778-9546
Mireille J M BroedersDutch Expert Centre for Screening (LRCB), Nijmegen, The Netherlands.ORCID https://orcid.org/0000-0002-8741-8148
Nico KarssemeijerRadboud University Medical Center, Department of Radiology and Nuclear Medicine, Nijmegen, The Netherlands.
Wouter J H VeldkampLeiden University Medical Centre, Department of Radiology, Leiden, The Netherlands.
Ioannis SechopoulosDutch Expert Centre for Screening (LRCB), Nijmegen, The Netherlands.ORCID https://orcid.org/0000-0001-9615-8205
Ruben E van EngenDutch Expert Centre for Screening (LRCB), Nijmegen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The channelized-Hotelling observer (CHO) was investigated as a surrogate of human observers in task-based image quality assessment. The CHO with difference-of-Gaussian (DoG) channels has shown potential for the prediction of human detection performance in digital mammography (DM) images. However, the DoG channels employ parameters that describe the shape of each channel. The selection of these parameters influences the performance of the DoG CHO and needs further investigation. The detection performance of the DoG CHO was calculated and correlated with the detection performance of three humans who evaluated DM images in 2-alternative forced-choice experiments. A set of DM images of an anthropomorphic breast phantom with and without calcification-like signals was acquired at four different dose levels. For each dose level, 200 square regions-of-interest (ROIs) with and without signal were extracted. Signal detectability was assessed on ROI basis using the CHO with various DoG channel parameters and it was compared to that of the human observers. It was found that varying these DoG parameter values affects the correlation (

Indexed as

2-alternative forced choiceanthropomorphic breast phantomchannelized-Hotelling observerdifference-of-Gaussianmammographymodel observers

Identifiers

PMID31572746
PMCPMC6763759

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Registered trials

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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.