2017-09-19
High-level algorithm prototyping: An example extending the TVR-DART algorithm
Publication
Publication
Operator Discretization Library (ODL) is an open-source Python library for prototyping reconstruction methods for inverse problems, and ASTRA is a high-performance Matlab/Python toolbox for large-scale tomographic reconstruction. The paper demonstrates the feasibility of combining ODL with ASTRA to prototype complex reconstruction methods for discrete tomography. As a case in point, we consider the total-variation regularized discrete algebraic reconstruction technique (TVR-DART). TVR-DART assumes that the object to be imaged consists of a limited number of distinct materials. The ODL/ASTRA implementation of this algorithm makes use of standardized building blocks, that can be combined in a plug-and-play manner. Thus, this implementation of TVR-DART can easily be adapted to account for application specific aspects, such as various noise statistics that come with different imaging modalities.
| Additional Metadata | |
|---|---|
| doi.org/10.1007/978-3-319-66272-5_10 | |
| Discrete Geometry for Computer Imagery | |
|
Ringh, A., Zhuge, J., Palenstijn, W. J., Batenburg, J., & Öktem, O. (2017). High-level algorithm prototyping: An example extending the TVR-DART algorithm. In Lecture Notes in Computer Science/Lecture Notes in Artificial Intelligence (pp. 109–121). doi:10.1007/978-3-319-66272-5_10 |
|
