SplineSplat: 3D Ray Tracing for Higher-Quality Tomography
Youssef Haouchat, Sepand Kashani, Aleix Boquet-Pujadas, Philippe Th\'evenaz, Michael Unser

TL;DR
This paper introduces SplineSplat, a novel 3D ray-tracing method utilizing B-splines and neural networks to improve tomographic reconstruction quality over traditional voxel-based approaches.
Contribution
It presents a new efficient ray-tracing algorithm for 3D volumes represented by B-splines, incorporating neural networks for basis function contribution computation.
Findings
Achieves higher reconstruction quality than traditional voxel-based methods
Handles arbitrary projection geometries effectively
Operates efficiently in well-posed cases without regularization
Abstract
We propose a method to efficiently compute tomographic projections of a 3D volume represented by a linear combination of shifted B-splines. To do so, we propose a ray-tracing algorithm that computes 3D line integrals with arbitrary projection geometries. One of the components of our algorithm is a neural network that computes the contribution of the basis functions efficiently. In our experiments, we consider well-posed cases where the data are sufficient for accurate reconstruction without the need for regularization. We achieve higher reconstruction quality than traditional voxel-based methods.
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Taxonomy
TopicsDigital Image Processing Techniques · Medical Imaging Techniques and Applications · Computer Graphics and Visualization Techniques
