High-performance image reconstruction in fluorescence tomography on desktop computers and graphics hardware

Manuel Freiberger*, Herbert Egger, Manfred Liebmann, Hermann Scharfetter

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

Image reconstruction in fluorescence optical tomography is a three-dimensional nonlinear ill-posed problem governed by a system of partial differential equations. In this paper we demonstrate that a combination of state of the art numerical algorithms and a careful hardware optimized implementation allows to solve this large-scale inverse problem in a few seconds on standard desktop PCs with modern graphics hardware. In particular, we present methods to solve not only the forward but also the non-linear inverse problem by massively parallel programming on graphics processors. A comparison of optimized CPU and GPU implementations shows that the reconstruction can be accelerated by factors of about 15 through the use of the graphics hardware without compromising the accuracy in the reconstructed images.

Original languageEnglish
Pages (from-to)3207-3222
Number of pages16
JournalBiomedical Optics Express
Volume2
Issue number11
DOIs
Publication statusPublished - 1 Jan 2011

ASJC Scopus subject areas

  • Biotechnology
  • Atomic and Molecular Physics, and Optics

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