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Technical Note: FreeCT_ICD: An open-source implementation of a model-based iterative reconstruction method using

John M Hoffman1,2, Frédéric Noo3, Stefano Young1

  • 1Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90024, USA.

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|June 3, 2018
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FreeCT_ICD is a new open-source software for iterative reconstruction in CT imaging, offering a balance between computational demands and storage requirements. It provides vendor-independent image reconstruction with acceptable quality for clinical applications.

Keywords:
CT reconstructionfree, FreeCTmodel-based iterativesoftware

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Area of Science:

  • Medical Imaging
  • Computational Imaging
  • Radiology

Background:

  • Open-source tools like FreeCT_wFBP facilitate research in CT imaging parameters.
  • Model-based iterative reconstruction (MBIR) methods offer potential for radiation dose reduction but pose computational challenges.

Purpose of the Study:

  • To develop and release FreeCT_ICD, an open-source implementation of MBIR using coordinate descent optimization.
  • To extend previous open-source CT reconstruction capabilities with an iterative approach.

Main Methods:

  • Developed FreeCT_ICD using a novel model with trilinear interpolation and Joseph's method for efficient system matrix storage.
  • Implemented iterative coordinate descent (ICD) optimization for reconstruction.
  • Evaluated the software on ACR accreditation phantom and pediatric thoracic CT datasets.

Main Results:

  • FreeCT_ICD achieved image quality comparable to clinical standards and FreeCT_wFBP for phantom data.
  • Reconstruction of a pediatric thoracic scan yielded acceptable results.
  • Demonstrated reasonable tradeoffs between storage, computational demands, and image quality.

Conclusions:

  • FreeCT_ICD is a viable open-source MBIR tool for vendor-independent CT image reconstruction.
  • The software offers a practical balance of computational efficiency and image quality.
  • It extends open-source reconstruction capabilities for quantitative imaging and radiomics research.