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3D Registration Based on Normalized Mutual Information : Performance of CPU vs. GPU Implementation

Jung, Florian ; Wesarg, Stefan (2010)
3D Registration Based on Normalized Mutual Information : Performance of CPU vs. GPU Implementation.
Bildverarbeitung für die Medizin 2010.
Conference or Workshop Item, Bibliographie

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.

Item Type: Conference or Workshop Item
Erschienen: 2010
Creators: Jung, Florian ; Wesarg, Stefan
Type of entry: Bibliographie
Title: 3D Registration Based on Normalized Mutual Information : Performance of CPU vs. GPU Implementation
Language: English
Date: 2010
Publisher: Springer, Berlin; Heidelberg; New York
Series: Informatik aktuell
Event Title: Bildverarbeitung für die Medizin 2010
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.

Uncontrolled Keywords: Forschungsgruppe Medical Computing (MECO), Parallelization, Registration, Medical imaging, Comparison, Compute Unified Device Architecture (CUDA)
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 12 Nov 2018 11:16
Last Modified: 12 Nov 2018 11:16
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