Literature DB >> 29376103

Virtual assessment of stereoscopic viewing of digital breast tomosynthesis projection images.

Gezheng Wen1, Ho-Chang Chang1, Jacob Reinhold2, Joseph Y Lo3, Mia K Markey4,5.   

Abstract

Digital breast tomosynthesis (DBT) acquires a series of projection images from different angles as an x-ray source rotates around the breast. Such imaging geometry lends DBT naturally to stereoscopic viewing as two projection images with a reasonable separation angle can easily form a stereo pair. This simulation study assessed the efficacy of stereo viewing of DBT projection images. Three-dimensional computational breast phantoms with realistically shaped synthetic lesions were scanned by three simulated DBT systems. The projection images were combined into a sequence of stereo pairs and presented to a stereomatching-based model observer for deciding lesion presence. Signal-to-noise ratio was estimated, and the detection performance with stack viewing of reconstructed slices was the benchmark. We have shown that: (1) stereo viewing of projection images may underperform stack viewing of reconstructed slices for current DBT geometries; (2) DBT geometries may impact the efficacy of the two viewing modes differently: narrow-arc and wide-arc geometries may be better for stereo viewing and stack viewing, respectively; (3) the efficacy of stereo viewing may be more robust than stack viewing to reductions in dose. While in principle stereo viewing is potentially effective for visualizing DBT data, effective stereo viewing may require specifically optimized DBT image acquisition.

Keywords:  digital breast tomosynthesis; disparity; model observer; reconstruction; stereo matching; stereoscopic viewing

Year:  2018        PMID: 29376103      PMCID: PMC5771135          DOI: 10.1117/1.JMI.5.1.015501

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN: 2329-4302


  51 in total

1.  Two-view and single-view tomosynthesis versus full-field digital mammography: high-resolution X-ray imaging observer study.

Authors:  Matthew G Wallis; Elin Moa; Federica Zanca; Karin Leifland; Mats Danielsson
Journal:  Radiology       Date:  2012-01-24       Impact factor: 11.105

2.  Task-based assessment of breast tomosynthesis: effect of acquisition parameters and quantum noise.

Authors:  I Reiser; R M Nishikawa
Journal:  Med Phys       Date:  2010-04       Impact factor: 4.071

3.  Small nodule detectability evaluation using a generalized scan-statistic model.

Authors:  Lucreţiu M Popescu; Robert M Lewitt
Journal:  Phys Med Biol       Date:  2006-11-15       Impact factor: 3.609

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.  Optimized image acquisition for breast tomosynthesis in projection and reconstruction space.

Authors:  Amarpreet S Chawla; Joseph Y Lo; Jay A Baker; Ehsan Samei
Journal:  Med Phys       Date:  2009-11       Impact factor: 4.071

6.  Disparity Estimation on Stereo Mammograms.

Authors:  Gautam S Muralidhar; Alan C Bovik; Mia K Markey
Journal:  IEEE Trans Image Process       Date:  2015-09       Impact factor: 10.856

Review 7.  A review of breast tomosynthesis. Part II. Image reconstruction, processing and analysis, and advanced applications.

Authors:  Ioannis Sechopoulos
Journal:  Med Phys       Date:  2013-01       Impact factor: 4.071

8.  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

9.  Assessment of a new Distance Randot stereoacuity test.

Authors:  Valeria L N Fu; Eileen E Birch; Jonathan M Holmes
Journal:  J AAPOS       Date:  2006-10       Impact factor: 1.220

10.  Association between power law coefficients of the anatomical noise power spectrum and lesion detectability in breast imaging modalities.

Authors:  Lin Chen; Craig K Abbey; John M Boone
Journal:  Phys Med Biol       Date:  2013-02-19       Impact factor: 3.609

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.