Evaluation of linear and nonlinear tomosynthetic reconstruction methods in digital mammography
Information Services, Academic Computing Services; Department of Cell Biology; Department of Radiology
Breast Neoplasms; Female; Humans; Mammography; Phantoms, Imaging; *Radiographic Image Enhancement; Sensitivity and Specificity
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.
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Citation: Acad Radiol. 2001 Mar;8(3):219-24. Link to article on publisher's site
Suryanarayanan, Sankararaman; Karellas, Andrew; Vedantham, Srinivasan; Baker, Stephen P.; Glick, Stephen J.; D'Orsi, Carl J.; and Webber, Richard L., "Evaluation of linear and nonlinear tomosynthetic reconstruction methods in digital mammography" (2001). Information Technology Publications and Presentations. Paper 78.