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Datasets:
kreininmv
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MS-Thesis

Tasks:
Image-to-Image
Tags:
medical
CT
flow-matching
image-translation
phase-translation
nifti
License:
Dataset card Files
xet
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MS-Thesis Dataset (CT Phase Translation Dataset for Flow Matching)

Dataset Description

This dataset contains paired CT scans for training Flow Matching models on CT phase translation tasks. The dataset was created as part of a Master's degree thesis focused on translating between native (non-contrast) and arterial phase CT images using generative flow-based models.

Dataset Summary

  • Task: CT phase translation (native -> arterial phase)
  • Modality: Computed Tomography (CT)
  • File Format: NIfTI (.nii.gz)
  • Registration: ANTs (Advanced Normalization Tools) with antsRegistrationSyN[so] transform
  • Spatial Alignment: All images are registered in original spacing.
  • Time: It took about 2 hours of time on a 128-core CPU server to register each of the images.

Dataset Structure

  • art.nii.gz: Arterial phase CT scan
  • nat.nii.gz: Native phase CT scan
  • body_mask.nii.gz: Body segmentation mask

Splits

Split Number of Cases Description
Train 80 cases Training set
Test 20 cases Testing set
Validation 20 cases Validation set

Data Collection and Preprocessing

Registration Pipeline

All images underwent spatial registration using ANTs (Advanced Normalization Tools):

  1. Fixed Image: Native phase CT (nat.nii.gz)
  2. Moving Image: Arterial phase CT (before registration)
  3. Transform Type: antsRegistrationSyN[so] (symmetric normalization with small deformation)
  4. Fixed Image Mask: Body mask applied during registration to focus alignment on anatomical structures

Preprocessing Steps

  1. Body Mask Creation: Automatic segmentation of body region from background
  2. Dust Removal: Both native and arterial phases were cleaned using the body mask to eliminate:
    • External objects (clothing, table artifacts)
    • Scanner noise outside body region
    • Non-anatomical intensities
  3. Purpose: Reduces domain shift and focuses model learning on relevant anatomical transformations.

Quality Control

  • All registrations were verified for anatomical alignment.
  • Images are free of major artifacts that would render them undiagnostic.
  • Intensity values preserved within body mask region.
  • The values on the border of the images that appeared after registration have been removed.
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