Maciel Zortea, Miguel Paredes, et al.
IGARSS 2021
Registration or alignment of medical images in clinical applications requires cost-effective high-performance computing. In this paper, we present a parallel design and implementation of a mutualinformation- based multiresolution nonrigid registration algorithm that takes advantage of the Cell Broadband Engine® (Cell/B.E.) Architecture by exploiting the different levels of parallelism and optimization strategies. The new method was tested with a dualprocessor Cell/B.E. processor-based system. The experiments show an average performance of 1.09 ls per voxel and excellent scalability, demonstrating real-time or near-real-time performance for the computationally demanding task of nonrigid image registration. © 2009 IBM.
Maciel Zortea, Miguel Paredes, et al.
IGARSS 2021
Nanda Kambhatla
ACL 2004
Maurice Hanan, Peter K. Wolff, et al.
DAC 1976
Rajiv Ramaswami, Kumar N. Sivarajan
IEEE/ACM Transactions on Networking