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.

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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
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article

Generalized Ray Tracing With Basis Functions for Tomographic Projections

Sepand Kashani, Michaël Unser, Youssef Haouchat, P. Thévenaz
IEEE Transactions on Computational Imaging
Medical Imaging Techniques and Applications
article

Generalized Ray Tracing With Basis Functions for Tomographic Projections

Sepand Kashani, Michaël Unser, Youssef Haouchat, P. Thévenaz
article en

Abstract

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.

IEEE Transactions on Computational ImagingVol. 11
Centre d'Imagerie BioMedicale (CH), École Polytechnique Fédérale de Lausanne (CH)
Openalex Percentile: Top 62%
Medical Imaging Techniques and Applications
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Generalized Ray Tracing With Basis Functions for Tomographic Projections — Sepand Kashani, Michaël Unser, et al. · IEEE Transactions on Computational Imaging (2025) | TGRS Research Map | TGRS