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

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

*Korrespondierende/r Autor/in für diese Arbeit

Publikation: Beitrag in einer FachzeitschriftArtikel

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.

Originalspracheenglisch
Seiten (von - bis)3207-3222
Seitenumfang16
FachzeitschriftBiomedical Optics Express
Jahrgang2
Ausgabenummer11
DOIs
PublikationsstatusVeröffentlicht - 1 Jan 2011

ASJC Scopus subject areas

  • Biotechnology
  • !!Atomic and Molecular Physics, and Optics

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