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Evaluation of linear and nonlinear tomosynthetic reconstruction methods in digital mammography

  • Sankararaman Suryanarayanan
  • , Andrew Karellas
  • , Srinivasan Vedantham
  • , Stephen P. Baker
  • , Stephen J. Glick
  • , Carl J. D'Orsi
  • , Richard L. Webber

Research output: Contribution to journalArticlepeer-review

Abstract

Rationale and Objectives. The purpose of this study was to comparatively evaluate digital planar mammography and both linear and nonlinear tomosynthetic reconstruction methods. Materials and Methods. A "disk" (ie, target) identification study was conducted to compare planar and reconstruction methods. Projective data using a composite phantom with circular disks were acquired in both planar and tomographic modes by using a full-field, digital mammographic system. Two-dimensional projections were reconstructed with both linear (ie, backprojection) and nonlinear (ie, maximization and minimization) tuned-aperture computed tomographic (TACT) methods to produce three-dimensional data sets. Four board-certified radiologists and one 4th-year radiology resident participated as observers. All images were compared by these observers in terms of the number of disks identified. Results. Significant differences (P <. 05, Bonferroni adjusted) were observed between all reconstruction and planar methods. No significant difference, however, was observed between the planar methods, and only a marginally significant difference (P <. 054, Bonferroni adjusted) was observed between TACT-backprojection and TACT-minimization. Conclusion. A combination of linear and nonlinear reconstruction schemes may have potential implications in terms of enhancing image visualization to provide radiologists with valuable diagnostic information.

Original languageEnglish (US)
Pages (from-to)219-224
Number of pages6
JournalAcademic radiology
Volume8
Issue number3
DOIs
StatePublished - 2001
Externally publishedYes

Keywords

  • Breast cancer
  • Digital imaging
  • Mammography
  • TACT
  • Tomosynthesis

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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