Total variation regularization for edge preserving 3D SPECT imaging in high performance computing environments

L. Antonelli, L. Carracciuolo, Michele Ceccarelli, L. D'Amore, A. Murli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

Abstract

Clinical diagnosis environments often require the availability of processed data in real-time, unfortunately, reconstruction times are prohibitive on conventional computers, neither the adoption of expensive parallel computers seems to be a viable solution. Here, we focus on development of mathematical software on high performance architectures for Total Variation based regularization reconstruction of 3D SPECT images. The software exploits the low-cost of Beowulf parallel architectures.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages171-180
Number of pages10
Volume2330 LNCS
EditionPART 2
Publication statusPublished - 1 Dec 2002
Externally publishedYes
EventInternational Conference on Computational Science, ICCS 2002 - Amsterdam, Netherlands
Duration: 21 Apr 200224 Apr 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume2330 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

OtherInternational Conference on Computational Science, ICCS 2002
CountryNetherlands
CityAmsterdam
Period21/4/0224/4/02

Fingerprint

SPECT
Total Variation Regularization
High Performance
Imaging
Mathematical Software
Imaging techniques
Parallel architectures
Computing
Parallel Architectures
Total Variation
Parallel Computers
Regularization
Availability
Real-time
Software
Costs
Architecture

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Antonelli, L., Carracciuolo, L., Ceccarelli, M., D'Amore, L., & Murli, A. (2002). Total variation regularization for edge preserving 3D SPECT imaging in high performance computing environments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 2330 LNCS, pp. 171-180). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2330 LNCS, No. PART 2).

Total variation regularization for edge preserving 3D SPECT imaging in high performance computing environments. / Antonelli, L.; Carracciuolo, L.; Ceccarelli, Michele; D'Amore, L.; Murli, A.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2330 LNCS PART 2. ed. 2002. p. 171-180 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2330 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Antonelli, L, Carracciuolo, L, Ceccarelli, M, D'Amore, L & Murli, A 2002, Total variation regularization for edge preserving 3D SPECT imaging in high performance computing environments. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 2330 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 2330 LNCS, pp. 171-180, International Conference on Computational Science, ICCS 2002, Amsterdam, Netherlands, 21/4/02.
Antonelli L, Carracciuolo L, Ceccarelli M, D'Amore L, Murli A. Total variation regularization for edge preserving 3D SPECT imaging in high performance computing environments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 2330 LNCS. 2002. p. 171-180. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
Antonelli, L. ; Carracciuolo, L. ; Ceccarelli, Michele ; D'Amore, L. ; Murli, A. / Total variation regularization for edge preserving 3D SPECT imaging in high performance computing environments. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2330 LNCS PART 2. ed. 2002. pp. 171-180 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
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