Literature DB >> 34307737

High-resolution μ CT imaging for characterizing microcalcification detection performance in breast CT.

Andrew M Hernandez1, Amy E Becker2, Su Hyun Lyu2, Craig K Abbey3, John M Boone1,4.   

Abstract

Purpose: To demonstrate the utility of high-resolution micro-computed tomography ( μ CT ) for determining ground-truth size and shape properties of calcium grains for evaluation of detection performance in breast CT (bCT). Approach: Calcium carbonate grains ( ∼ 200    μ m ) were suspended in 1% agar solution to emulate microcalcifications ( μ Calcs ) within a fibroglandular tissue background. Ground-truth imaging was performed on a commercial μ CT scanner and was used for assessing calcium-grain size and shape, and for generating μ Calc signal profiles. Calcium grains were placed within a realistic breast-shaped phantom and imaged on a prototype bCT system at 3- and 6-mGy mean glandular dose (MGD) levels, and the non-prewhitening detectability was assessed. Additionally, the μ CT -derived signal profiles were used in conjunction with the bCT system characterization (MTF and NPS) to obtain predictions of bCT detectability.
Results: Estimated detectability of the calcium grains on the bCT system ranged from 2.5 to 10.6 for 3 mGy and from 3.8 to 15.3 for 6 mGy with large fractions of the grains meeting the Rose criterion for visibility. Segmentation of μ CT images based on morphological operations produced accurate results in terms of segmentation boundaries and segmented region size. A regression model linking bCT detectability to μ Calc parameters indicated significant effects of μ Calc size and vertical position within the breast phantom. Detectability using μ CT -derived detection templates and bCT statistical properties (MTF and NPS) were in good correspondence with those measured directly from bCT ( R 2 > 0.88 ). Conclusions: Parameters derived from μ CT ground-truth data were shown to produce useful characterizations of detectability when compared to estimates derived directly from bCT. Signal profiles derived from μ CT imaging can be used in conjunction with measured or hypothesized statistical properties to evaluate the performance of a system, or system component, that may not currently be available.
© 2021 Society of Photo-Optical Instrumentation Engineers (SPIE).

Entities:  

Keywords:  breast cancer; breast computed tomography; detectability; micro-computed tomography; microcalcification

Year:  2021        PMID: 34307737      PMCID: PMC8291078          DOI: 10.1117/1.JMI.8.5.052107

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


  27 in total

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Authors:  A E Burgess
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  1999-03       Impact factor: 2.129

2.  The simulation of 3D microcalcification clusters in 2D digital mammography and breast tomosynthesis.

Authors:  Eman Shaheen; Chantal Van Ongeval; Federica Zanca; Lesley Cockmartin; Nicholas Marshall; Jurgen Jacobs; Kenneth C Young; David R Dance; Hilde Bosmans
Journal:  Med Phys       Date:  2011-12       Impact factor: 4.071

3.  Average glandular dose coefficients for pendant-geometry breast CT using realistic breast phantoms.

Authors:  Andrew M Hernandez; John M Boone
Journal:  Med Phys       Date:  2017-08-20       Impact factor: 4.071

4.  Investigation of iterative image reconstruction in low-dose breast CT.

Authors:  Junguo Bian; Kai Yang; John M Boone; Xiao Han; Emil Y Sidky; Xiaochuan Pan
Journal:  Phys Med Biol       Date:  2014-05-01       Impact factor: 3.609

5.  Microcalcification detectability using a bench-top prototype photon-counting breast CT based on a Si strip detector.

Authors:  Hyo-Min Cho; Huanjun Ding; William C Barber; Jan S Iwanczyk; Sabee Molloi
Journal:  Med Phys       Date:  2015-07       Impact factor: 4.071

6.  Effect of noise correlation on detectability of disk signals in medical imaging.

Authors:  K J Myers; H H Barrett; M C Borgstrom; D D Patton; G W Seeley
Journal:  J Opt Soc Am A       Date:  1985-10       Impact factor: 2.129

Review 7.  The potential role of dedicated 3D breast CT as a diagnostic tool: review and early clinical examples.

Authors:  Avice M O'Connell; Andrew Karellas; Srinivasan Vedantham
Journal:  Breast J       Date:  2014-09-08       Impact factor: 2.431

8.  Effects of kV, filtration, dose, and object size on soft tissue and iodine contrast in dedicated breast CT.

Authors:  Andrew M Hernandez; Craig K Abbey; Peymon Ghazi; George Burkett; John M Boone
Journal:  Med Phys       Date:  2020-04-27       Impact factor: 4.071

9.  Shading artifact correction in breast CT using an interleaved deep learning segmentation and maximum-likelihood polynomial fitting approach.

Authors:  Peymon Ghazi; Andrew M Hernandez; Craig Abbey; Kai Yang; John M Boone
Journal:  Med Phys       Date:  2019-06-23       Impact factor: 4.071

10.  Human and model observer performance for lesion detection in breast cone beam CT images with the FDK reconstruction.

Authors:  Minah Han; Byeongjoon Kim; Jongduk Baek
Journal:  PLoS One       Date:  2018-03-15       Impact factor: 3.240

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