Literature DB >> 11131053

Comparison of tomosynthesis methods used with digital mammography.

S Suryanarayanan1, A Karellas, S Vedantham, S J Glick, C J D'Orsi, S P Baker, R L Webber.   

Abstract

RATIONALE AND
OBJECTIVES: The authors performed this study to investigate the potential applicability of tomosynthesis to digital mammography. Four methods of tomosynthesis-tuned aperture computed tomography (TACT)-backprojection, TACT-iterative restoration, iterative reconstruction with expectation maximization, and Bayesian smoothing-were compared to planar mammography and analyzed in terms of their contrast-detail characteristics. Specific comparisons between the tomosynthesis methods were not attempted in this study.
MATERIALS AND METHODS: A full-field, amorphous, silicon-based, flat-panel digital mammographic system was used to obtain planar and tomosynthesis projection images. A composite tomosynthesis phantom with a centrally located contrast-detail insert was used as the object of interest. The total exposure for multiple views with tomosynthesis was always equal to or less than that for the planar technique. Algorithms were used to reconstruct the object from the acquired projections.
RESULTS: Threshold contrast characteristics with all tomosynthesis reconstruction methods were significantly better than those with planar mammography, even when planar mammography was performed at more than twice the exposure level. Reduction of out-of-plane structural components was observed in all the tomosynthesis methods analyzed.
CONCLUSION: The contrast-detail trends of all the tomosynthesis methods analyzed in this study were better than those of planar mammography. Further optimization of the algorithms could lead to better image reconstruction, which would improve visualization of valuable diagnostic information.

Entities:  

Mesh:

Year:  2000        PMID: 11131053     DOI: 10.1016/s1076-6332(00)80061-6

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  34 in total

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2.  A perceptual evaluation of JPEG 2000 image compression for digital mammography: contrast-detail characteristics.

Authors:  Sankararaman Suryanarayanan; Andrew Karellas; Srinivasan Vedantham; Sandra M Waldrop; Carl J D'Orsi
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3.  Computer-aided detection of clustered microcalcifications in digital breast tomosynthesis: a 3D approach.

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4.  High resolution stationary digital breast tomosynthesis using distributed carbon nanotube x-ray source array.

Authors:  Xin Qian; Andrew Tucker; Emily Gidcumb; Jing Shan; Guang Yang; Xiomara Calderon-Colon; Shabana Sultana; Jianping Lu; Otto Zhou; Derrek Spronk; Frank Sprenger; Yiheng Zhang; Don Kennedy; Tom Farbizio; Zhenxue Jing
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

5.  A novel solid-angle tomosynthesis (SAT) scanning scheme.

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Journal:  Med Phys       Date:  2010-08       Impact factor: 4.071

6.  Digital Breast Tomosynthesis: State of the Art.

Authors:  Srinivasan Vedantham; Andrew Karellas; Gopal R Vijayaraghavan; Daniel B Kopans
Journal:  Radiology       Date:  2015-12       Impact factor: 11.105

7.  Emerging Breast Imaging Technologies on the Horizon.

Authors:  Srinivasan Vedantham; Andrew Karellas
Journal:  Semin Ultrasound CT MR       Date:  2017-09-13       Impact factor: 1.875

8.  Computation of the glandular radiation dose in digital tomosynthesis of the breast.

Authors:  Ioannis Sechopoulos; Sankararaman Suryanarayanan; Srinivasan Vedantham; Carl D'Orsi; Andrew Karellas
Journal:  Med Phys       Date:  2007-01       Impact factor: 4.071

9.  A comparative study of limited-angle cone-beam reconstruction methods for breast tomosynthesis.

Authors:  Yiheng Zhang; Heang-Ping Chan; Berkman Sahiner; Jun Wei; Mitchell M Goodsitt; Lubomir M Hadjiiski; Jun Ge; Chuan Zhou
Journal:  Med Phys       Date:  2006-10       Impact factor: 4.071

Review 10.  Breast cancer imaging: a perspective for the next decade.

Authors:  Andrew Karellas; Srinivasan Vedantham
Journal:  Med Phys       Date:  2008-11       Impact factor: 4.071

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