ArticleJournal of medical physics
Power-law Beta Calculations for Realistic Mammography Images from Egs_cbct Simulation.
Article in Journal of medical physics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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2 authors.
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Abstract
Background: Mammography is the most effective method for the early detection of breast cancer. The glandular tissue in a mammogram acts as anatomic noise and limit the detection of suspicious lesions. Previous studies found that that the power-law form can be used to characterize anatomic noise in mammograms with β-exponent values ranging from 1.5 to 4.0. Purpose: The goal is to determine if the egs_cbct simulation code can successfully simulate the mammography images by extracting the β-values from them. This is done using the power spectrum to quantitatively evaluate and compare the β exponent of the egs_cbct images with previously reported values from the clinical data sets. Materials and Methods: The Results: The obtained values correspond to those found in earlier research using authentic mammography images. The mean β-value for the simulated images was 3.42, with a maximum value of 4.41 and a minimum value of 2.36. The simulated ACR phantom was comparable to that of the mammography unit. Conclusions: Based on the β values, the egs_cbct software can successfully replicate mammography images.
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