Rapid Emission Tomography Reconstruction

Simple item page
dc.contributor.authorChidlow, Kenen_US
dc.contributor.authorMöller, Torstenen_US
dc.contributor.editorI. Fujishiro and K. Mueller and A. Kaufmanen_US
dc.date.accessioned2014-01-29T17:38:33Z
dc.date.available2014-01-29T17:38:33Z
dc.date.issued2003en_US
dc.description.abstractWe present new implementations of the Maximum Likelihood Expectation Maximization (EM) algorithm and the related Ordered Subset EM (OSEM) algorithm. Our implementation is based on modern graphics hardware and achieves speedups of over eight times current software implementation, while reducing the RAM required to practical amounts for today's PC's. This is significant as it will make this algorithm practical for clinical use. In order to achieve a large speed up, we present bit splitting over different color channels as an accumulation strategy. We also present a novel hardware implementation for volume rendering emission data without loss of accuracy. Improved results are achieved through incorporation of attenuation correction with only a small speed penalty.en_US
dc.description.seriesinformationVolume Graphicsen_US
dc.identifier.isbn1-58113-745-1en_US
dc.identifier.issn1727-8376en_US
dc.identifier.urihttps://doi.org/10.2312/VG/VG03/015-026en_US
dc.publisherThe Eurographics Associationen_US
dc.titleRapid Emission Tomography Reconstructionen_US
Files
Collections
VG03: Third International Workshop on Volume Graphics 2003