Literature DB >> 29176920

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

Miguel P Eckstein1, Miguel A Lago1, Craig K Abbey1.   

Abstract

The field of medical image quality has relied on the assumption that metrics of image quality for simple visual detection tasks are a reliable proxy for the more clinically realistic visual search tasks. Rank order of signal detectability across conditions often generalizes from detection to search tasks. Here, we argue that search in 3D images represents a paradigm shift in medical imaging: radiologists typically cannot exhaustively scrutinize all regions of interest with the high acuity fovea requiring detection of signals with extra-foveal areas (visual periphery) of the human retina. We hypothesize that extra-foveal processing can alter the detectability of certain types of signals in medical images with important implications for search in 3D medical images. We compare visual search of two different types of signals in 2D vs. 3D images. We show that a small microcalcification-like signal is more highly detectable than a larger mass-like signal in 2D search, but its detectability largely decreases (relative to the larger signal) in the 3D search task. Utilizing measurements of observer detectability as a function retinal eccentricity and observer eye fixations we can predict the pattern of results in the 2D and 3D search studies. Our findings: 1) suggest that observer performance findings with 2D search might not always generalize to 3D search; 2) motivate the development of a new family of model observers that take into account the inhomogeneous visual processing across the retina (foveated model observers).

Entities:  

Keywords:  3D search; foveated model observers; peripheral processing; visual field

Year:  2017        PMID: 29176920      PMCID: PMC5699444          DOI: 10.1117/12.2255879

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


  26 in total

1.  Search for lesions in mammograms: statistical characterization of observer responses.

Authors:  François O Bochud; Craig K Abbey; Miguel P Eckstein
Journal:  Med Phys       Date:  2004-01       Impact factor: 4.071

2.  Effect of random background inhomogeneity on observer detection performance.

Authors:  J P Rolland; H H Barrett
Journal:  J Opt Soc Am A       Date:  1992-05       Impact factor: 2.129

3.  Effect of dose reduction on the detection of mammographic lesions: a mathematical observer model analysis.

Authors:  Amarpreet S Chawla; Ehsan Samei; Robert Saunders; Craig Abbey; David Delong
Journal:  Med Phys       Date:  2007-08       Impact factor: 4.071

4.  Evaluation of internal noise methods for Hotelling observer models.

Authors:  Yani Zhang; Binh T Pham; Miguel P Eckstein
Journal:  Med Phys       Date:  2007-08       Impact factor: 4.071

5.  Digital breast tomosynthesis: a pilot observer study.

Authors:  Walter F Good; Gordon S Abrams; Victor J Catullo; Denise M Chough; Marie A Ganott; Christiane M Hakim; David Gur
Journal:  AJR Am J Roentgenol       Date:  2008-04       Impact factor: 3.959

Review 6.  CT technology overview: 64-slice and beyond.

Authors:  Patrik Rogalla; Christian Kloeters; Patrick A Hein
Journal:  Radiol Clin North Am       Date:  2009-01       Impact factor: 2.303

7.  Computer-aided detection of masses in digital tomosynthesis mammography: comparison of three approaches.

Authors:  Heang-Ping Chan; Jun Wei; Yiheng Zhang; Mark A Helvie; Richard H Moore; Berkman Sahiner; Lubomir Hadjiiski; Daniel B Kopans
Journal:  Med Phys       Date:  2008-09       Impact factor: 4.071

8.  The effect of nonlinear human visual system components on performance of a channelized Hotelling observer in structured backgrounds.

Authors:  Yani Zhang; Binh T Pham; Miguel P Eckstein
Journal:  IEEE Trans Med Imaging       Date:  2006-10       Impact factor: 10.048

9.  Human observer detection experiments with mammograms and power-law noise.

Authors:  A E Burgess; F L Jacobson; P F Judy
Journal:  Med Phys       Date:  2001-04       Impact factor: 4.071

10.  Automated optimization of JPEG 2000 encoder options based on model observer performance for detecting variable signals in X-ray coronary angiograms.

Authors:  Yani Zhang; Binh T Pham; Miguel P Eckstein
Journal:  IEEE Trans Med Imaging       Date:  2004-04       Impact factor: 10.048

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  10 in total

1.  Measurement of the useful field of view for single slices of different imaging modalities and targets.

Authors:  Miguel A Lago; Ioannis Sechopoulos; François O Bochud; Miguel P Eckstein
Journal:  J Med Imaging (Bellingham)       Date:  2020-02-08

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

Authors:  Miguel A Lago; Craig K Abbey; Bruno Barufaldi; Predrag R Bakic; Susan P Weinstein; Andrew D Maidment; Miguel P Eckstein
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2018-03-07

3.  Evaluation of Search Strategies for Microcalcifications and Masses in 3D Images.

Authors:  Miguel P Eckstein; Miguel A Lago; Craig K Abbey
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2018-03-07

4.  Evaluation of Convolutional Neural Networks for Search in 1/f 2.8 Filtered Noise and Digital Breast Tomosynthesis Phantoms.

Authors:  Aditya Jonnalagadda; Miguel A Lago; Bruno Barufaldi; Predrag R Bakic; Craig K Abbey; Andrew D Maidment; Miguel P Eckstein
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2020-03-16

5.  Medical image quality metrics for foveated model observers.

Authors:  Miguel A Lago; Craig K Abbey; Miguel P Eckstein
Journal:  J Med Imaging (Bellingham)       Date:  2021-08-16

Review 6.  Mandating Limits on Workload, Duty, and Speed in Radiology.

Authors:  Robert Alexander; Stephen Waite; Michael A Bruno; Elizabeth A Krupinski; Leonard Berlin; Stephen Macknik; Susana Martinez-Conde
Journal:  Radiology       Date:  2022-06-14       Impact factor: 29.146

7.  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

8.  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

9.  Search of low-contrast liver lesions in abdominal CT: the importance of scrolling behavior.

Authors:  Alexandre Ba; Marwa Shams; Sabine Schmidt; Miguel P Eckstein; Francis R Verdun; François O Bochud
Journal:  J Med Imaging (Bellingham)       Date:  2020-07-24

Review 10.  What do radiologists look for? Advances and limitations of perceptual learning in radiologic search.

Authors:  Robert G Alexander; Stephen Waite; Stephen L Macknik; Susana Martinez-Conde
Journal:  J Vis       Date:  2020-10-01       Impact factor: 2.240

  10 in total

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