Literature DB >> 32435080

Interactions of lesion detectability and size across single-slice DBT and 3D DBT.

Miguel A Lago1, Craig K Abbey1, Bruno Barufaldi2, Predrag R Bakic2, Susan P Weinstein2, Andrew D Maidment2, Miguel P Eckstein1.   

Abstract

Three dimensional image modalities introduce a new paradigm for visual search requiring visual exploration of a larger search space than 2D imaging modalities. The large number of slices in the 3D volumes and the limited reading times make it difficult for radiologists to explore thoroughly by fixating with their high resolution fovea on all regions of each slice. Thus, for 3D images, observers must rely much more on their visual periphery (points away from fixation) to process image information. We previously found a dissociation in signal detectability between 2D and 3D search tasks for small signals in synthetic textures evaluated with non-radiologist trained observers. Here, we extend our evaluation to more clinically realistic backgrounds and radiologist observers. We studied the detectability of simulated microcalcifications (MCALC) and masses (MASS) in Digital Breast Tomosynthesis (DBT) utilizing virtual breast phantoms. We compared the lesion detectability of 8 radiologists during free search in 3D DBT and a 2D single-slice DBT (center slice of the 3D DBT). Our results show that the detectability of the microcalcification degrades significantly in 3D DBT with respect to the 2D single-slice DBT. On the other hand, the detectability for masses does not show this behavior and its detectability is not significantly different. The large deterioration of the 3D detectability of microcalcifications relative to masses may be related to the peripheral processing given the high number of cases in which the microcalcification was missed and the high number of search errors. Together, the results extend previous findings with synthetic textures and highlight how search in 3D images is distinct from 2D search as a consequence of the interaction between search strategies and the visibility of signals in the visual periphery.

Entities:  

Keywords:  3D search; detectability; digital breast tomosynthesis; image quality

Year:  2018        PMID: 32435080      PMCID: PMC7237825          DOI: 10.1117/12.2293873

Source DB:  PubMed          Journal:  Proc SPIE Int Soc Opt Eng        ISSN: 0277-786X


  18 in total

1.  Evaluation of JPEG 2000 encoder options: human and model observer detection of variable signals in X-ray coronary angiograms.

Authors:  Yani Zhang; Binh Pham; Miguel P Eckstein
Journal:  IEEE Trans Med Imaging       Date:  2004-05       Impact factor: 10.048

2.  Optimized generation of high resolution breast anthropomorphic software phantoms.

Authors:  David D Pokrajac; Andrew D A Maidment; Predrag R Bakic
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

3.  A visual-search model observer for multislice-multiview SPECT images.

Authors:  Howard C Gifford
Journal:  Med Phys       Date:  2013-09       Impact factor: 4.071

4.  Visual scanning patterns of radiologists searching mammograms.

Authors:  E A Krupinski
Journal:  Acad Radiol       Date:  1996-02       Impact factor: 3.173

5.  Scanners and drillers: characterizing expert visual search through volumetric images.

Authors:  Trafton Drew; Melissa Le-Hoa Vo; Alex Olwal; Francine Jacobson; Steven E Seltzer; Jeremy M Wolfe
Journal:  J Vis       Date:  2013-08-06       Impact factor: 2.240

6.  Assessing radiologist performance using combined digital mammography and breast tomosynthesis compared with digital mammography alone: results of a multicenter, multireader trial.

Authors:  Elizabeth A Rafferty; Jeong Mi Park; Liane E Philpotts; Steven P Poplack; Jules H Sumkin; Elkan F Halpern; Loren T Niklason
Journal:  Radiology       Date:  2012-11-20       Impact factor: 11.105

7.  The role of extra-foveal processing in 3D imaging.

Authors:  Miguel P Eckstein; Miguel A Lago; Craig K Abbey
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2017-03-10

8.  Foveated Model Observers to predict human performance in 3D images.

Authors:  Miguel A Lago; Craig K Abbey; Miguel P Eckstein
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2017-03-10

9.  Visual scanning, pattern recognition and decision-making in pulmonary nodule detection.

Authors:  H L Kundel; C F Nodine; D Carmody
Journal:  Invest Radiol       Date:  1978 May-Jun       Impact factor: 6.016

10.  Abstracts of the Royal College of Radiologists Breast Group Annual Scientific Meeting. Belfast, Northern Ireland. November 1-3, 2009.

Authors: 
Journal:  Breast Cancer Res       Date:  2009-10-26       Impact factor: 6.466

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  3 in total

1.  Foveated Model Observers for Visual Search in 3D Medical Images.

Authors:  Miguel A Lago; Craig K Abbey; Miguel P Eckstein
Journal:  IEEE Trans Med Imaging       Date:  2021-03-02       Impact factor: 10.048

2.  Characteristics of expert search behavior in volumetric medical image interpretation.

Authors:  Lauren H Williams; Ann J Carrigan; Megan Mills; William F Auffermann; Anina N Rich; Trafton Drew
Journal:  J Med Imaging (Bellingham)       Date:  2021-07-14

3.  Comparative observer effects in 2D and 3D localization tasks.

Authors:  Craig K Abbey; Miguel A Lago; Miguel P Eckstein
Journal:  J Med Imaging (Bellingham)       Date:  2021-03-18
  3 in total

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