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Published on: October 17, 2018
Multiscale X-ray phase-contrast tomography: From breast CT to micro-CT for virtual histology
L M Arana Peña1, S Donato2, D Bonazza3
1Department of Physics, University of Trieste, Via Alfonso Valerio 2, Trieste I-34127, Italy; INFN Division of Trieste, 34127 Trieste, Italy; Elettra-Sincrotrone Trieste, SS 14 Km 163,5, AREA Science Park, 34149 Basovizza, (Trieste), Italy.
This study optimized propagation-based phase-contrast computed tomography (CT) for multiscale breast imaging. The technique enables high-resolution virtual histology, improving cancer detection and tissue analysis.
Area of Science:
- Medical Imaging
- Biophysics
- Materials Science
Background:
- Traditional X-ray imaging struggles with soft-tissue contrast.
- Propagation-based phase-contrast X-ray imaging enhances soft-tissue visualization.
- Synchrotron facilities provide coherent photon beams necessary for this technique.
Purpose of the Study:
- To optimize propagation-based phase-contrast computed tomography (CT) for multiscale breast imaging.
- To demonstrate the transition from whole breast imaging to virtual histology using this technique.
- To assess the potential of phase-contrast imaging as a clinically compatible tool for breast cancer detection.
Main Methods:
- Utilized propagation-based phase-contrast CT with synchrotron radiation at the Elettra facility.
- Acquired whole breast mastectomy samples using monochromatic X-rays (60 µm pixel size).
- Scanned paraffin-embedded tissue blocks using polychromatic X-rays (4 µm pixel size) for micro-CT.
- Spatially registered images from both methodologies and matched them with conventional histology.
Main Results:
- Achieved high-resolution, low-noise phase-contrast images.
- Demonstrated seamless transition from whole breast imaging to virtual histology of the same sample.
- Enabled precise matching between virtual and conventional histology.
- Clearly discerned breast structures, lesions, and microcalcifications.
Conclusions:
- Propagation-based phase-contrast CT is a promising tool for multiscale breast imaging.
- The technique offers high precision for cancer detection in full breast volumes.
- It complements structure identification in paraffin-embedded tissue samples.
- The approach shows potential as a clinically compatible diagnostic tool.
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