JOURNAL ARTICLE

A discrete spherical x-ray transform of orientation distribution functions using bounding cubes

I.G. KazantsevS. SchmidtHenning Friis Poulsen

Year: 2009 Journal:   Inverse Problems Vol: 25 (10)Pages: 105009-105009   Publisher: IOP Publishing

Abstract

We investigate a cubed sphere parametrization of orientation space with the aim of constructing a discrete voxelized version of the spherical x-ray transform. For tracing the propagation of a unit great circle through the partition subsets, the frustums of the cubed sphere, a fast procedure is proposed. The circle's parts in each frustum are gnomonically mapped into line segments inside the bounding cubes. The line segments constitute a convex polygon with vertexes indicating frustum exit–entry points. Thus the problem of system matrix calculation is reduced to the tracing of line segments within rectangular voxel arrays partitioning the bounding cubes. Hence algebraic reconstruction techniques can be used in a comprehensive way for orientation distribution function estimation from diffraction data.

Keywords:
Frustum Bounding overwatch Mathematics Line segment Polygon (computer graphics) Ray tracing (physics) Unit sphere Great circle Orientation (vector space) Geometry Bounding volume Line (geometry) Regular polygon Minimum bounding box Spherical harmonics Combinatorics Mathematical analysis Computer science Optics Collision detection Computer vision Artificial intelligence Image (mathematics)

Metrics

17
Cited By
2.62
FWCI (Field Weighted Citation Impact)
26
Refs
0.88
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Medical Imaging Techniques and Applications
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging
Medical Image Segmentation Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Geochemistry and Geologic Mapping
Physical Sciences →  Computer Science →  Artificial Intelligence

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