Jung, Florian ; Wesarg, Stefan (2010)
3D Registration Based on Normalized Mutual Information : Performance of CPU vs. GPU Implementation.
Bildverarbeitung für die Medizin 2010.
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Medical image registration is time-consuming but can be sped up employing parallel processing on the GPU. Normalized mutual information (NMI) is a well performing similarity measure for performing multi-modal registration. We present CUDA based solutions for computing NMI on the GPU and compare the results obtained by rigidly registering multi-modal data sets with a CPU based implementation. Our tests with RIRE data sets show a speed-up of factor 5 to 7 for our best GPU implementation.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2010 |
| Autor(en): | Jung, Florian ; Wesarg, Stefan |
| Art des Eintrags: | Bibliographie |
| Titel: | 3D Registration Based on Normalized Mutual Information : Performance of CPU vs. GPU Implementation |
| Sprache: | Englisch |
| Publikationsjahr: | 2010 |
| Verlag: | Springer, Berlin; Heidelberg; New York |
| Reihe: | Informatik aktuell |
| Veranstaltungstitel: | Bildverarbeitung für die Medizin 2010 |
| Kurzbeschreibung (Abstract): | Medical image registration is time-consuming but can be sped up employing parallel processing on the GPU. Normalized mutual information (NMI) is a well performing similarity measure for performing multi-modal registration. We present CUDA based solutions for computing NMI on the GPU and compare the results obtained by rigidly registering multi-modal data sets with a CPU based implementation. Our tests with RIRE data sets show a speed-up of factor 5 to 7 for our best GPU implementation. |
| Freie Schlagworte: | Forschungsgruppe Medical Computing (MECO), Parallelization, Registration, Medical imaging, Comparison, Compute Unified Device Architecture (CUDA) |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 12 Nov 2018 11:16 |
| Letzte Änderung: | 12 Nov 2018 11:16 |
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