Tomographic X-Ray Data of a Lotus Root Slice with Reconstruction Code

University of Helsinki researchers provide an open-access dataset of tomographic X-ray data for a single 2D slice of a lotus root. The dataset includes sinograms at two different resolutions, the original measured 360-projection fan-beam sinogram, and corresponding measurement matrices. MATLAB code for reconstructions using filtered back-projection, Landweber iteration, and Tikhonov regularization is also included.

Use Cases

• Benchmarking tomographic reconstruction algorithms based on the provided sinogram data and measurement matrices.
• Testing filtered back-projection methods using the included MATLAB code and documented dataset.
• Evaluating iterative reconstruction techniques like Landweber iteration on real, measured X-ray data.
• Developing educational materials for tomography using a documented, open-access dataset with reconstruction examples.

Strengths

• Includes the original measured 360-projection fan-beam sinogram alongside down-sampled versions.
• Provides MATLAB code for three reconstruction methods: filtered back-projection, Landweber iteration, and Tikhonov regularization.
• Dataset is documented in a peer-reviewed arXiv paper (arxiv.org/abs/1609.07299).

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Helsinki, authored by Tatiana A. Bubba.

Collection Method

Measured X-ray sinogram of a lotus root slice, subsequently down-sampled and processed.