Advanced

Iterative High Resolution Tomography from Combined High-Low Resolution Sinogram Pairs

Varga, László and Mokso, Rajmund LU (2018) 19th International Workshop on Combinatorial Image Analysis, IWCIA 2018 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11255 LNCS. p.150-163
Abstract

In some cases of tomography we can only gain high resolution projections of the object with only partial coverage, whereas only a small part of the object – a given Region of Interest (ROI) – is fully covered by high resolution projections. In such cases the structures outside the region of interest cause artefacts to appear in the reconstructed image and degrade the image quality of the tomogram. We proposed three new iterative approaches for the accurate reconstruction of the ROI by combining a high resolution set of projections, with low resolution full field of view projections and prior information. We also evaluate our methods reconstructing software phantoms, and compare their performance to other methods in the literature.

Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
GPGPU, Reconstruction, Region of interest, ROI, Sinogram combination, Tomography
host publication
Combinatorial Image Analysis - 19th International Workshop, IWCIA 2018, Proceedings
series title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
editor
Barneva, Reneta P.; Tavares, João Manuel R.S; Brimkov, Valentin E.; ; and
volume
11255 LNCS
pages
14 pages
publisher
Springer Verlag
conference name
19th International Workshop on Combinatorial Image Analysis, IWCIA 2018
conference location
Porto, Portugal
conference dates
2018-11-22 - 2018-11-24
external identifiers
  • scopus:85057403786
ISSN
1611-3349
0302-9743
ISBN
9783030052874
DOI
10.1007/978-3-030-05288-1_12
language
English
LU publication?
yes
id
6bcddc0b-7c5c-4f5b-8e61-7e97f4ba4ba5
date added to LUP
2018-12-10 11:08:26
date last changed
2019-02-20 11:39:40
@inproceedings{6bcddc0b-7c5c-4f5b-8e61-7e97f4ba4ba5,
  abstract     = {<p>In some cases of tomography we can only gain high resolution projections of the object with only partial coverage, whereas only a small part of the object – a given Region of Interest (ROI) – is fully covered by high resolution projections. In such cases the structures outside the region of interest cause artefacts to appear in the reconstructed image and degrade the image quality of the tomogram. We proposed three new iterative approaches for the accurate reconstruction of the ROI by combining a high resolution set of projections, with low resolution full field of view projections and prior information. We also evaluate our methods reconstructing software phantoms, and compare their performance to other methods in the literature.</p>},
  author       = {Varga, László and Mokso, Rajmund},
  booktitle    = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  editor       = {Barneva, Reneta P. and Tavares, João Manuel R.S and Brimkov, Valentin E.},
  isbn         = {9783030052874},
  issn         = {1611-3349},
  keyword      = {GPGPU,Reconstruction,Region of interest,ROI,Sinogram combination,Tomography},
  language     = {eng},
  location     = {Porto, Portugal},
  pages        = {150--163},
  publisher    = {Springer Verlag},
  title        = {Iterative High Resolution Tomography from Combined High-Low Resolution Sinogram Pairs},
  url          = {http://dx.doi.org/10.1007/978-3-030-05288-1_12},
  volume       = {11255 LNCS},
  year         = {2018},
}