Analysis of Geometric Accuracy in Digital Breast Tomosynthesis Reconstruction

Bakić, Predrag R.; Ringer, Peter; Kuo, Johnny; Ng, Susan; Maidment, Andrew D. A.

doi:10.1007/978-3-642-13666-5_9

Cited by 8 publications

(6 citation statements)

References 4 publications

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“…This finding is complementary to prior work on computer breast phantoms demonstrating that fiducial markers can be located with higher precision in a supersampled reconstruction. 25 It is important to determine the effect of super-resolution on noise, and to evaluate the potential benefits of super-resolution using a task-based approach. A future clinical study is also merited to assess the clinical impact of super-resolution in DBT.…”

Section: Discussionmentioning

confidence: 99%

Observation of super‐resolution in digital breast tomosynthesis

Acciavatti

Maidment

2012

Medical Physics

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Section: Discussionmentioning

confidence: 99%

Observation of super‐resolution in digital breast tomosynthesis

Acciavatti

Maidment

2012

Medical Physics

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“…The partial volume is subsequently obtained as (16) The error of the Monte Carlo method is defined as: (17) As shown in the Appendix B, (A8), . Therefore, from (15) we obtain: (18) can be estimated using the sample mean square error (MSE): (19) where T denotes the total number of partial volume voxels. The following subsection discusses estimates of .…”

Section: A Accuracy Assessment Of the Pv Computationmentioning

confidence: 99%

Description and Characterization of a Novel Method for Partial Volume Simulation in Software Breast Phantoms

Chen

Bakić

Maidment

et al. 2015

IEEE Trans. Med. Imaging

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A modification to our previous simulation of breast anatomy is proposed to improve the quality of simulated x-ray projections images. The image quality is affected by the voxel size of the simulation. Large voxels can cause notable spatial quantization artifacts; small voxels extend the generation time and increase the memory requirements. An improvement in image quality is achievable without reducing voxel size by the simulation of partial volume averaging in which voxels containing more than one simulated tissue type are allowed. The linear x-ray attenuation coefficient of voxels is, thus, the sum of the linear attenuation coefficients weighted by the voxel subvolume occupied by each tissue type. A local planar approximation of the boundary surface is employed. In the two-material case, the partial volume in each voxel is computed by decomposition into up to four simple geometric shapes. In the three-material case, by application of the Gauss-Ostrogradsky theorem, the 3D partial volume problem is converted into one of a few simpler 2D surface area problems. We illustrate the benefits of the proposed methodology on simulated x-ray projections. An efficient encoding scheme is proposed for the type and proportion of simulated tissues in each voxel. Monte Carlo simulation was used to evaluate the quantitative error of our approximation algorithms.

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“…The reconstructed images were obtained using a backprojection filtered reconstruction algorithm. 2,3 Quality of simulated phantom images was visually assessed by clinical radiologists from the Breast Imaging Center of the Hospital of the University of Pennsylvania, who emphasized the high level of realism. Examples of their comments about the digital mammograms simulated using phantoms of various glandularities included: 54 "Images appear fairly realistic," "Ligaments prominent with lower density--as in clinical images," "Denser phantoms appear more realistic--tissue appears fairly realistic in terms of distribution and density.…”

Section: Ivb Breast Phantoms With Different Number and Distributionmentioning

confidence: 99%

“…In another application, the geometric accuracy of DBT reconstruction was validated in the presence of realistically simulated parenchymal patterns. 3 The clinical realism of our phantom is reflected in the appearance of the parenchymal pattern which makes up the anatomical noise in projection mammography. In mammography, the parenchymal pattern, formed by the overlapping projections of breast anatomical structures, 4 exhibits a power spectrum with 1/f b (b % 3) proportionality to the spatial frequency.…”

Section: Introductionmentioning

confidence: 99%