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Method of sparse-view coded-aperture x-ray diffraction tomography.

Kaichao Liang1,2, Li Zhang1,2, Yuxiang Xing1,2

  • 1Department of Engineering Physics, Tsinghua University, Beijing, 100084, People's Republic of China.

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|February 28, 2023
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Summary
This summary is machine-generated.

A new X-ray diffraction computed tomography (XRD-CT) method, RotationCA-XRDT, significantly improves spatial resolution and reduces scan time for biological sample inspection. This fast, high-resolution technique aids in detecting abnormalities like carcinoma.

Keywords:
coded-aperturesystem modellingx-ray diffraction tomography

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Area of Science:

  • Medical Imaging
  • Biophysics
  • Materials Science

Background:

  • X-ray diffraction (XRD) provides material-specific 'finger-print' information for distinguishing biological tissues.
  • X-ray diffraction tomography (XRDT) offers spatial-resolved XRD pattern distribution, a frontier in biological sample inspection.
  • Conventional XRD computed tomography (XRD-CT) offers high spatial resolution but requires hours for scanning.

Purpose of the Study:

  • To develop an advanced XRDT method that accelerates XRD-CT acquisition while maintaining imaging accuracy.
  • To combine the high spatial resolution of XRD-CT with the fast acquisition of snapshot coded-aperture XRDT (CA-XRDT).
  • To introduce a novel method, sparse-view rotational CA-XRDT (RotationCA-XRDT), for efficient biological sample inspection.

Main Methods:

  • Proposed RotationCA-XRDT, integrating snapshot CA-XRDT with rotational scanning for enhanced spatial resolution.
  • Employed a model-based iterative reconstruction (MBIR) method tailored for RotationCA-XRDT.
  • Developed a refined system model calculation for the MBIR to improve reconstruction image quality.

Main Results:

  • Monte Carlo simulations demonstrated RotationCA-XRDT's capability in detecting 2 mm carcinoma in breast samples with a 15-view scan.
  • Achieved significantly improved spatial resolution compared to existing snapshot CA-XRDT methods.
  • The refined system model enabled MBIR to produce high-quality images with minimal artifacts.

Conclusions:

  • RotationCA-XRDT successfully combines coded-aperture compressed-sensing acquisition with sparse-view scanning for high-resolution XRDT.
  • The proposed method offers superior image resolution compared to current snapshot CA-XRDT techniques.
  • RotationCA-XRDT represents the fastest millimetre-resolution XRDT method, reducing scan times from hours to minutes, with great potential for biological sample inspection.