ITEM METADATA RECORD
Title: Super-resolution for computed tomography based on discrete tomography
Authors: van Aarle, Wim ×
Batenburg, Kees Joost
Van Gompel, Gert
Van de Casteele, Elke
Sijbers, Jan #
Issue Date: Mar-2014
Series Title: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society vol:23 issue:3 pages:1181-93
Article number: 10.1109/TIP.2013.2297025
Abstract: In computed tomography (CT), partial volume effects impede accurate segmentation of structures that are small with respect to the pixel size. In this paper, it is shown that for objects consisting of a small number of homogeneous materials, the reconstruction resolution can be substantially increased without altering the acquisition process. A super-resolution reconstruction approach is introduced that is based on discrete tomography, in which prior knowledge about the materials in the object is assumed. Discrete tomography has already been used to create reconstructions from a low number of projection angles, but in this paper, it is demonstrated that it can also be applied to increase the reconstruction resolution. Experiments on simulated and real μCT data of bone and foam structures show that the proposed method indeed leads to significantly improved structure segmentation and quantification compared with what can be achieved from conventional reconstructions.
URI: 
ISSN: 1057-7149
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Non-KU Leuven Association publications
× corresponding author
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy

 




All items in Lirias are protected by copyright, with all rights reserved.

© Web of science