TY - GEN
T1 - A GPU approach for accelerating 3D deformable registration (DARTEL) on brain biomedical images
AU - Valero-Lara, Pedro
PY - 2013
Y1 - 2013
N2 - Medical image processing is becoming a significant discipline in bioinformatic. Particularly, deformable registration methods are one of the field most important in the biomedical image processing, due to the valuable information provided. However, these methods consume a considerable processing time and memory requirements. Current GPUs have a high number of cores and high memory bandwidth providing an excellent platform for reducing the cost of these methods in terms of processing time. In this work, it is proposed a Graphics Processing Units (GPU)-based implementation of one of the most sophisticated deformable registration algorithms, DARTEL. The experimental results show a processing time reduction higher than 2 hours in typical cases of study. Moreover, the power consumption is also reduced in a significant amount.
AB - Medical image processing is becoming a significant discipline in bioinformatic. Particularly, deformable registration methods are one of the field most important in the biomedical image processing, due to the valuable information provided. However, these methods consume a considerable processing time and memory requirements. Current GPUs have a high number of cores and high memory bandwidth providing an excellent platform for reducing the cost of these methods in terms of processing time. In this work, it is proposed a Graphics Processing Units (GPU)-based implementation of one of the most sophisticated deformable registration algorithms, DARTEL. The experimental results show a processing time reduction higher than 2 hours in typical cases of study. Moreover, the power consumption is also reduced in a significant amount.
KW - Biomedical image processing
KW - CUDA
KW - DARTEL
KW - Deformable registration
KW - GPU
UR - http://www.scopus.com/inward/record.url?scp=84886304713&partnerID=8YFLogxK
U2 - 10.1145/2488551.2488592
DO - 10.1145/2488551.2488592
M3 - Conference contribution
AN - SCOPUS:84886304713
SN - 9788461651337
T3 - ACM International Conference Proceeding Series
SP - 187
EP - 192
BT - Proceedings of the 20th European MPI Users' Group Meeting, EuroMPI 2013
PB - Association for Computing Machinery
T2 - 20th European MPI Users' Group Meeting, EuroMPI 2013
Y2 - 15 September 2013 through 18 September 2013
ER -