A GPU approach for accelerating 3D deformable registration (DARTEL) on brain biomedical images

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8 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 20th European MPI Users' Group Meeting, EuroMPI 2013
PublisherAssociation for Computing Machinery
Pages187-192
Number of pages6
ISBN (Print)9788461651337
DOIs
StatePublished - 2013
Externally publishedYes
Event20th European MPI Users' Group Meeting, EuroMPI 2013 - Madrid, Spain
Duration: Sep 15 2013Sep 18 2013

Publication series

NameACM International Conference Proceeding Series

Conference

Conference20th European MPI Users' Group Meeting, EuroMPI 2013
Country/TerritorySpain
CityMadrid
Period09/15/1309/18/13

Keywords

  • Biomedical image processing
  • CUDA
  • DARTEL
  • Deformable registration
  • GPU

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