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Partially Discrete Tomography with Parametric Level-Set Method

This toolbox solves the computational tomography problem where the object is partially discrete in nature, that means - there is a variation part, called background, where properties varies between 0 and tau < 1, and an anomaly of constant value 1. This kind of objects occur in many applications, from image processing to medical imaging. We use parametric level-set method to represent the anomaly and the smooth regularization (i.e. tikhonov) for background. We compare the proposed method with Total-variation method, DART and P-DART.

Installation

This toolbox requires Matlab version R2016a or later. In particular we require following packages to be pre-install to run this toolbox.

  1. ASTRA-Toolbox
  2. SPOT Operator

Please run startup.m file before running the scripts in example folder.

Paper

The theory and experiment details are available in the paper "A parametric level-set method for partially discrete tomography". The paper is available on ArXiv : arXiv:1704.00568

Feel free to contact me with any questions, suggestions, etc.

Ajinkya Kadu - [email protected]

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