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Parallel computation of mutual information on the GPU with application to real-time registration of 3D medical images

Date

2009

Authors

Shams, Ramtin
Sadeghi, Parastoo
Kennedy, Rodney
Hartley, Richard

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

Abstract

Due to processing constraints, automatic image-based registration of medical images has been largely used as a pre-operative tool. We propose a novel method named sort and count for efficient parallelization of mutual information (MI) computation designed for massively multi-processing architectures. Combined with a parallel transformation implementation and an improved optimization algorithm, our method achieves real-time (less than 1. s) rigid registration of 3D medical images using a commodity graphics processing unit (GPU). This represents a more than 50-fold improvement over a standard implementation on a CPU. Real-time registration opens new possibilities for development of improved and interactive intraoperative tools that can be used for enhanced visualization and navigation during an intervention.

Description

Keywords

Keywords: 3D medical image; Graphics Processing Unit; Graphics processor unit (GPU); Graphics processor units; Image-based; Intra-operative; Medical images; Mutual informations; Novel methods; Optimization algorithms; Parallel Computation; Parallel processing; Para Graphics processor unit (GPU); Histogram; Image registration; Mutual information (MI); Parallel processing

Citation

Source

Computer Methods and Programs in Biomedicine

Type

Journal article

Book Title

Entity type

Access Statement

License Rights

DOI

10.1016/j.cmpb.2009.11.004

Restricted until

2037-12-31