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Published March 5, 2020 | Version 1.0
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Gel phantom data for dynamic X-ray tomography

  • 1. University of Helsinki
  • 2. Finnish Food Authority, University of Helsinki

Description

The gel phantom was constructed to simulate diffusion of liquids inside plant stems, namely the flow of iodine-based contrast agents used in high resolution tomographic X-ray imaging of plants. In order to test different reconstruction methods, this radiation resistant phantom with similar diffusion properties was constructed.

A more detailed documentation can be found on arXiv: https://arxiv.org/abs/2003.02841

The phantom consists of a 50 ml Falcon test tube filled with agarose gel. After the agarose solidified, five cavities were made into the gel and filled with 20% sucrose solution to guarantee the diffusion by directing osmosis to the gel body. In addition densely punctured plastic straws were placed in the cavities to simulate cellular passages such as phloem plasmodesmata and to slow down the lateral diffusion.

The primary measurements consisted of 17 consecutive time frames, with initial stage of no contrast agent followed
by steady increase and diffusion into the gel body over time. Each round of measurements consist of 360 projections with a fanbeam microCT-scanner, but we used only the central plane of the cone beam, resulting in 2D fan beam geometry.

Data is given in two different resolutions corresponding to reconstructions of size 256 x 256 or 512 x 512, (GelPhantomData_b4.mat and GelPhantomData_b2.mat respectively). In addition to the primary measurements, a more densely sampled measurements from the first time step and an additional 18th time step are provided in GelPhantom_extra_frames.mat.

The measurements are stored in special data structures containing all the necessary metadata. In combination with the MATLAB toolboxes this allows for easy application of forward operators and reconstruction algorithms.

This is demonstrated using the included example codes. These require ASTRA Toolbox, Spot Linear Operator Toolbox and HelTomo Toolbox for MATLAB.

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Additional details

Related works

Is documented by
Software documentation: https://arxiv.org/abs/2003.02841 (URL)