High performance edge-preserving regularization in 3D SPECT imaging

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

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

We describe a parallel software for three-dimensional single photon emission computed tomography (SPECT) imaging. The software has been developed within a multi-disciplinary research activity aimed at improving both the mathematical models and the processing time in nuclear medicine. The numerical algorithm implements an edge-preserving regularization approach based on the total variation seminorm for solving the inverse and ill-posed problem describing the SPECT image reconstruction problem. The parallel software has been tested on a low-cost implementation of a parallel architecture made up of a Linux cluster (Beowulf). The proposed approach is compatible with diagnostic times in terms of availability of the results in a suitable turnaround time and of the overall cost of the system infrastructure.

Original languageEnglish
Pages (from-to)115-132
Number of pages18
JournalParallel Computing
Volume34
Issue number2
DOIs
Publication statusPublished - 1 Feb 2008
Externally publishedYes

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Keywords

  • Inverse problems
  • Parallel implementation
  • SPECT imaging
  • Total variation regularization

ASJC Scopus subject areas

  • Computer Science Applications
  • Hardware and Architecture
  • Control and Systems Engineering

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