Iterative Reconstruction of SPECT Images Using Adaptive Multi-level Refinement

Hanno Schumacher, Stefan Heldmann, Eldad Haber, Bernd Fischer

Abstract

We present a novel method for iterative reconstruction of high resolution images. Our method is based on the observation that constant regions in an image can be represented at much lower resolution than region with fine details. Therefore, we combine adaptive re-finement based on quadtrees with iterative reconstruction to reduce the computational costs. In our experiments we found a speed up factor of approximately two compared to a standard multi-level method.
Original languageEnglish
Title of host publicationBildverarbeitung für die Medizin 2008
EditorsThomas Tolxdorff, Jürgen Braun, Thomas M. Deserno, Alexander Horsch, Heinz Handels, Hans-Peter Meinzer
Number of pages5
Place of PublicationBerlin, Heidelberg
PublisherSpringer Berlin Heidelberg
Publication date01.04.2008
Pages318-322
ISBN (Print)978-3-540-78639-9
ISBN (Electronic)978-3-540-78640-5
DOIs
Publication statusPublished - 01.04.2008
EventWorkshop on Bildverarbeitung fur die Medizin 2008 - Berlin, Germany
Duration: 06.04.200808.04.2008

Fingerprint

Dive into the research topics of 'Iterative Reconstruction of SPECT Images Using Adaptive Multi-level Refinement'. Together they form a unique fingerprint.

Cite this