Coding and sampling for compressive x-ray diffraction tomography

Greenberg, Joel A.; Krishnamurthy, Kalyani; Lakshmanan, Manu N.; MacCabe, Kenneth P.; Wolter, Scott D.; Kapadia, Anuj J.; Brady, David J.

doi:10.1117/12.2027128

Cited by 11 publications

(12 citation statements)

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“…Automated material identification can be achieved at each voxel by using a correlation-based classification algorithm in which the estimated coherent scatter form factors are compared with a library of reference form factors (obtained here via standard, non-imaging XRD using a Bruker D2 Phaser system). 2 In this work, we use analytical and numerical models to optimize the imaging system, as described in Ref. 1.…”

Section: Modelingmentioning

confidence: 99%

Optimization of a coded aperture coherent scatter spectral imaging system for medical imaging

et al. 2015

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Coherent scatter X-ray imaging is a technique that provides spatially-resolved information about the molecular structure of the material under investigation, yielding material-specific contrast that can aid medical diagnosis and inform treatment. In this study, we demonstrate a coherent-scatter imaging approach based on the use of coded apertures (known as coded aperture coherent scatter spectral imaging 1, 2 ) that enables fast, dose-efficient, high-resolution scatter imaging of biologically-relevant materials. Specifically, we discuss how to optimize a coded aperture coherent scatter imaging system for a particular set of objects and materials, describe and characterize our experimental system, and use the system to demonstrate automated material detection in biological tissue.

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Section: Modelingmentioning

confidence: 99%

Optimization of a coded aperture coherent scatter spectral imaging system for medical imaging

et al. 2015

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“…For each raster scan position, the coherent scatter intensity as a function of q (momentum transfer) and z position was reconstructed from the 128 × 64 histogram of count data using a MAP iterative reconstruction algorithm developed in Ref. 37. The reconstruction algorithm inversely solves a matrix equation that analytically models the imaging system by projecting the sample into the detector-measurement space (see Appendix B for a more detailed description of the image reconstruction technique used).…”

Section: Imaging Data Acquisition and Image Reconstructionmentioning

confidence: 99%

Accuracy assessment and characterization of x-ray coded aperture coherent scatter spectral imaging for breast cancer classification

et al. 2017

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Although transmission-based x-ray imaging is the most commonly used imaging approach for breast cancer detection, it exhibits false negative rates higher than 15%. To improve cancer detection accuracy, x-ray coherent scatter computed tomography (CSCT) has been explored to potentially detect cancer with greater consistency. However, the 10-min scan duration of CSCT limits its possible clinical applications. The coded aperture coherent scatter spectral imaging (CACSSI) technique has been shown to reduce scan time through enabling single-angle imaging while providing high detection accuracy. Here, we use Monte Carlo simulations to test analytical optimization studies of the CACSSI technique, specifically for detecting cancer in breast samples. An anthropomorphic breast tissue phantom was modeled, a CACSSI imaging system was virtually simulated to image the phantom, a diagnostic voxel classification algorithm was applied to all reconstructed voxels in the phantom, and receiver-operator characteristics analysis of the voxel classification was used to evaluate and characterize the imaging system for a range of parameters that have been optimized in a prior analytical study. The results indicate that CACSSI is able to identify the distribution of cancerous and healthy tissues (i.e., fibroglandular, adipose, or a mix of the two) in tissue samples with a cancerous voxel identification area-under-the-curve of 0.94 through a scan lasting less than 10 s per slice. These results show that coded aperture scatter imaging has the potential to provide scatter images that automatically differentiate cancerous and healthy tissue within samples. Furthermore, the results indicate potential CACSSI imaging system configurations for implementation in subsequent imaging development studies.

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“…The literature considers a variety of reconstruction techniques and experimental methods in BST [2][3][4][5][6][7]. In [3] the authors consider snap shot, pencil beam, coded aperture imaging of crystalline powders, such as NaCl and Al.…”

Section: Introductionmentioning

confidence: 99%

“…In [2,[5][6][7] a number of CAXSI variations are considered, for example, using fan beam sources in [2,5]. In these works, a set of "reference" differential cross section curves is used in the reconstruction algorithm, whereby each pixel is assigned to a material from the reference library based on the normalized correlation between the reconstructed and reference cross section values at the pixel.…”

Section: Introductionmentioning

confidence: 99%

A novel reconstruction technique for two-dimensional Bragg scatter imaging

Webber¹,

Miller²

2021

Preprint

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Here we introduce a new reconstruction technique for two-dimensional Bragg Scattering Tomography (BST), based on the Radon transform models of [arXiv preprint, arXiv:2004.10961 (2020]. Our method uses a combination of ideas from multibang control and microlocal analysis to construct an objective function which can regularize the BST artifacts; specifically the boundary artifacts due to sharp cutoff in sinogram space (as observed in [arXiv preprint, arXiv:2007.00208 (2020)]), and artifacts arising from approximations made in constructing the model used for inversion. We then test our algorithm in a variety of Monte Carlo (MC) simulated examples of practical interest in airport baggage screening and threat detection. The data used in our studies is generated with a novel Monte-Carlo code presented here. The model, which is available from the authors upon request, captures both the Bragg scatter effects described by BST as well as beam attenuation and Compton scatter.

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Coding and sampling for compressive x-ray diffraction tomography

Cited by 11 publications

References 0 publications

Optimization of a coded aperture coherent scatter spectral imaging system for medical imaging

Optimization of a coded aperture coherent scatter spectral imaging system for medical imaging

Accuracy assessment and characterization of x-ray coded aperture coherent scatter spectral imaging for breast cancer classification

A novel reconstruction technique for two-dimensional Bragg scatter imaging

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