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dc.contributor.advisor Lo, Joseph Y en_US
dc.contributor.author Mehtaji, Deep Sunil en_US
dc.date.accessioned 2010-05-13T17:50:13Z
dc.date.available 2011-07-26T04:30:04Z
dc.date.issued 2010 en_US
dc.identifier.uri http://hdl.handle.net/10161/2502
dc.description Thesis en_US
dc.description.abstract <p><bold>Purpose:</bold> To assess the quantitative potential of breast tomosynthesis by estimating the percent density of voxelized anthropomorphic breast phantoms. </p> <p><bold>Methods and Materials:</bold>A Siemens breast tomosynthesis system was modeled using Monte Carlo methods and a voxelized anthropomorphic breast phantom. The images generated by the simulation were reconstructed using Siemens filtered back-projection software. The non-uniform background due to scatter, heel effect, and limited angular sampling was estimated by simulating and subtracting images of a uniform 100% fatty breast phantom. To estimate the density of each slice, the total number of fatty and glandular voxels was calculated both before and after applying a thresholding algorithm to classify voxels as fat vs. glandular. Finally, the estimated density of the reconstructed slice was compared to the known percent density of the corresponding slice from the voxelized phantom. This percent density estimation comparison was done for a 35%- and a 60%-dense 5cm breast phantom. </p> <p><bold>Results:</bold> Without thresholding, overall density estimation errors for the central eleven slices were 4.97% and 2.55% for the 35% and 60% dense phantoms, respectively. After thresholding to classify voxels as fat vs. glandular, errors for central eleven were 7.99% and 6.26%, respectively. Voxel to voxel matching of the phantom vs. reconstructed slice demonstrated 75.69% and 75.25% respectively of voxels were correctly classified. </p> <p><bold>Conclusion:</bold> The errors in slice density estimation were <8% for both the phantoms thus implying that quantification of breast density using tomosynthesis is possible. However, limitations of the acquisition and reconstruction process continue to pose challenges in density estimation leading to potential voxel to voxel errors that warrant further investigation.</p> en_US
dc.format.extent 1469311 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject Physics, Fluid and Plasma en_US
dc.subject Engineering, Biomedical en_US
dc.subject antropomorphic en_US
dc.subject breast imaging en_US
dc.subject density estimation en_US
dc.subject phantom en_US
dc.subject quantitation en_US
dc.subject tomosynthesis en_US
dc.title Evaluation of Quantitative Potential of Breast Tomosynthesis Using a Voxelized Anthropomorphic Breast Phantom en_US
dc.type Thesis en_US
dc.department Medical Physics en_US
duke.embargo.months 12 en_US

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