@inproceedings{1e0e21a42fc8428d819fd3b986e710b6,
title = "Quantised angular momentum vectors and projection angle distributions for discrete radon transformations",
abstract = "A quantum mechanics based method is presented to generate sets of digital angles that may be well suited to describe projections on discrete grids. The resulting angle sets are an alternative to those derived using the Farey fractions from number theory. The Farey angles arise naturally through the definitions of the Mojette and Finite Radon Transforms. Often a subset of the Farey angles needs to be selected when reconstructing images from a limited number of views. The digital angles that result from the quantisation of angular momentum (QAM) vectors may provide an alternative way to select angle subsets. This paper seeks first to identify the important properties of digital angles sets and second to demonstrate that the QAM vectors are indeed a candidate set that fulfils these requirements. Of particular note is the rare occurrence of degeneracy in the QAM angles, particularly for the half-integral angular momenta angle sets.",
keywords = "Digital angles, Discrete projection, Finite radon transforms, Tomography",
author = "Imants Svalbe and Shekhar Chandra and Andrew Kingston and Gu{\'e}don, {Jean Pierre}",
year = "2006",
doi = "10.1007/11907350_12",
language = "English",
isbn = "3540476512",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "134--145",
booktitle = "Discrete Geometry for Computer Imagery - 13th International Conference, DGCI 2006, Proceedings",
address = "Germany",
note = "13th International Conference on Discrete Geometry for Computer Imagery, DGCI 2006 ; Conference date: 25-10-2006 Through 27-10-2006",
}