On the orientation of mammographic structure

Reiser, Ingrid; Lee, S.; Nishikawa, Robert M.

doi:10.1118/1.3633905

Cited by 26 publications

(19 citation statements)

References 14 publications

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“…Our previous studies have shown that mammographic power-spectra are not radially symmetric, but exhibit elliptical symmetry caused by the “directionality” of fibroglandular tissues, which tend to radiate towards the nipple (Reiser et al, 2011). The PWO is sensitive to this symmetry, which causes a performance difference between the two background types that can be observed for larger signals.…”

Section: Discussionmentioning

confidence: 99%

Validation of a power-law noise model for simulating small-scale breast tissue

2013

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We have validated a small-scale breast tissue model based on power-law noise. A set of 110 patient images served as truth. The statistical model parameters were determined by matching the radially-averaged power-spectrum of the projected simulated tissue with that of the central tomosynthesis patient breast projections. Observer performance in a signal-known exactly detection task in simulated and actual breast backgrounds was compared. Observers included human readers, a pre-whitening observer model and a channelized Hotelling observer model. For all observers, good agreement between performance in the simulated and actual backgrounds was found, both in the tomosynthesis central projections and the reconstructed images. This tissue model can be used for breast x-ray imaging system optimization. The complete statistical description of the model is provided.

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Section: Discussionmentioning

confidence: 99%

Validation of a power-law noise model for simulating small-scale breast tissue

2013

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“…This may be due to the effect of oriented ductal structures in sagittal and axial views, which do not as effectively mask the spherical simulated mass. 37 We note that, for thin sections typically used by the radiologist on the breast CT workstation, 25 the performance differences between views were relatively small.…”

Section: Ivb View Orientationmentioning

confidence: 99%

Effect of slice thickness on detectability in breast CT using a prewhitened matched filter and simulated mass lesions

et al. 2012

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Purpose: Dedicated breast CT (bCT) is an emerging technology with the potential to improve the detection of breast cancer in screening and diagnostic capacities. Typically, the 3D volume reconstructed from the scanner is displayed as sectional images. The purpose of this study was to evaluate the effect of section thickness on the detectability of simulated masses using a prewhitened matched filter (PWMF) as a model observer. Methods: A breast CT scanner has been designed and fabricated in the authors' laboratory with more than 200 women imaged in IRB-approved phase I and phase II trials to date. Of these, 151 bilateral data sets were selected on the basis of low artifact content, sufficient breast coverage, and excluding cases with breast implants. BIRADS breast density ratings were available for 144 of these patients. Spherical mass lesions of diameter 1, 2, 3, 5, 11, and 15 mm were mathematically generated and embedded at random locations within the parenchymal region of each bCT volume. Microcalcifications were not simulated in this study. For each viewing plane (sagittal, axial, and coronal) and section thickness (ranging from 0.3 to 44 mm), section images of the breast parenchyma containing the lesion were generated from the reconstructed bCT data sets by averaging voxels over the length of the section. Using signal known exactly (SKE) model observer methodology, receiver operating characteristic (ROC) curve analysis was performed on each generated projected image using a PWMF based model observer. ROC curves were generated for each breast data set, and the area under the ROC curve (AUC) was evaluated as well as the sensitivity at 95% specificity. Results: For all lesion sizes, performance rises modestly to a peak before falling off substantially as section thickness increases over the range of the study. We find that the optimal section thickness tracks the size of the lesion to be detected linearly with a small positive offset and slopes ranging from 0.27 to 0.44. No significant differences were observed between left and right breasts. Performance measures are negatively correlated with measures of breast density, with an average correlation coefficient of À0.48 for the BIRADS breast density score and À0.81 for the proportion of glandular tissue in the breast interior. Conclusions: This study shows quantitatively how PWMF detection performance of a known lesion size is influenced by section thickness in dedicated breast CT. While the optimal section thickness is tuned to the size of the lesion being detected, overall performance is more robust for thin section images compared to thicker images.

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“…26 However, in the literatures, 22,27,28 the reported b is the result of the radial averaged power spectrum by WOAP with many small ROIs. This would be problematic if the assumption of an isotropic mammogram is not true.…”

Section: Discussionmentioning

confidence: 96%