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Technical Note: Development and validation of an open data format for CT projection data.

Baiyu Chen1, Xinhui Duan1, Zhicong Yu1

  • 1Department of Radiology, Mayo Clinic, Rochester, Minnesota 55905.

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Summary
This summary is machine-generated.

A new vendor-neutral DICOM format for CT projection data (CT-PD) was developed to enable open sharing. This format allows for accurate CT image reconstruction, facilitating algorithm development and validation.

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Area of Science:

  • Medical Imaging
  • Computational Imaging
  • Radiology

Background:

  • Access to patient CT scan projection data is limited, hindering the development and validation of new reconstruction algorithms.
  • A standardized, vendor-neutral format is crucial for sharing and utilizing this data.

Purpose of the Study:

  • To develop and validate a vendor-neutral format for CT projection data (CT-PD).
  • To establish a foundation for a public library of patient CT projection data.

Main Methods:

  • A DICOM-like format (DICOM-CT-PD) was created, storing attenuation and reconstruction parameters.
  • CT projection data from clinical scanners (Siemens, GE) were converted to DICOM-CT-PD.
  • Off-line CT reconstructions were performed using the DICOM-CT-PD data.

Main Results:

  • Off-line reconstructed CT images showed comparable CT numbers and image noise to commercial reconstructions.
  • Low contrast detectability was similar between off-line and commercial reconstructions.
  • Slight differences in spatial resolution were observed due to varying reconstruction approaches.

Conclusions:

  • A vendor-neutral extended DICOM format (DICOM-CT-PD) was successfully developed for sharing CT projection data.
  • The format accurately stores geometric and attenuation information, enabling reconstruction of comparable CT images.
  • This facilitates open sharing and further research in CT reconstruction algorithms.