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Photon-counting micro-CT scanner for deep learning-enabled small animal perfusion imaging.

Alex Jeffrey Allphin1, Rohan Nadkarni1, Darin P Clark1

  • 1Quantitative Imaging and Analysis Lab, Department of Radiology, Duke University Medical Center, Durham, NC, United States of America.

Physics in Medicine and Biology
|June 27, 2025
PubMed
Summary
This summary is machine-generated.

A new photon-counting micro-CT scanner enables rapid, high-resolution small animal perfusion imaging. This system uses advanced AI for faster image processing and accurate blood flow mapping in preclinical research.

Keywords:
contrast agentsmicro-CTperfusion imagingphoton-counting CTpreclinical

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Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Radiology

Background:

  • Dynamic small animal perfusion imaging is crucial for preclinical research.
  • Current micro-CT systems face limitations in speed and resolution for dynamic studies.

Purpose of the Study:

  • To introduce and validate a benchtop photon-counting micro-CT scanner for dynamic small animal perfusion imaging.
  • To leverage spectral imaging and artificial intelligence for enhanced data processing and analysis.

Main Methods:

  • Developed a photon-counting micro-CT system with a CdTe detector.
  • Utilized a custom perfusion phantom and in vivo mouse models.
  • Employed denoising and perfusion mapping convolutional neural networks (CNNs) for image reconstruction and analysis.

Main Results:

  • Achieved significant noise reduction (1206 HU to 86 HU) using a CNN for denoising.
  • Improved contrast-to-noise ratio for iodine maps (16.4 to 29.4).
  • Perfusion CNN demonstrated superior accuracy (0.04 error) compared to traditional methods (0.06 error).

Conclusions:

  • The photon-counting micro-CT scanner is a versatile platform for high-throughput small animal perfusion imaging.
  • Spectral imaging and AI-driven analysis enhance the utility for preclinical vascular research.
  • Enables advanced, time-resolved studies of disease models and therapeutic interventions.