Generalized Ray Tracing With Basis Functions for Tomographic Projections
This work aims at the precise and efficient computation of the x-ray projection of an image represented by a linear combination of general shifted basis functions that typically overlap. We achieve this with a suitable adaptation of ray tracing, which is one of the most efficient methods to compute line integrals. In our work, the cases in which the image is expressed as a spline are of particular relevance. The proposed implementation is applicable to any projection geometry as it computes the forward and backward operators over a collection of arbitrary lines. We validate our work with experiments in the context of inverse problems for image reconstruction to maximize the image quality for a given resolution of the reconstruction grid.
Authors
- Sepand Kashani (ORCID: https://orcid.org/0000-0002-0735-371X)
- Michaël Unser (ORCID: https://orcid.org/0000-0003-1248-2513)
- Youssef Haouchat
- P. Thévenaz
Institutions
- Centre d'Imagerie BioMedicale (CH)
- École Polytechnique Fédérale de Lausanne (CH)
Publication Details
- Journal
- IEEE Transactions on Computational Imaging
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/tci.2025.3611590
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00