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.
Original language | English |
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Pages (from-to) | 133-146 |
Number of pages | 14 |
Journal | Computer Methods and Programs in Biomedicine |
Volume | 99 |
Issue number | 2 |
DOIs | |
Publication status | Published - Aug 2010 |