GPU-based gray-level co-occurrence matrix for extracting features from magnetic resonance images

Hsin Yi Tsai, Zhang Hanyu, Che Lun Hung, Hsian Min Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

With the continuously increasing power of computation, especially in the region of parallel computing, computerbased texture analysis, computer-assisted classification methods, automated pathology detections, etc. are more and more commonly performed on medical images, like X-ray, Magnetic Resonance (MR) images, for clinical or scientific purposes. These procedures almost always include a stage of textural feature extraction, which usually requires an extensive computation. In this paper, we propose a GPGPU (General-purpose computing on graphics processing units)-based parallel method to accelerate the extraction of a set of features based on the Gray-Level Co-Occurrence Matrix (GLCM) which is a second order statistic that characterizes textures. Performance evaluation of the proposed method implemented with CUDA C is carried out on various GPU devices by comparing to its serial counterpart which is implemented in both Matlab and C on a single node. A series of experimental tests focused on Magnetic Resonance (MR) brain images demonstrate that the proposed method is very efficient and superior to the serial counterpart. A speedup of about 30 & 2013; 100 fold is achieved in general.

Original languageEnglish
Title of host publicationProceedings - 14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages391-396
Number of pages6
ISBN (Electronic)9781538608401
DOIs
StatePublished - 27 Nov 2017
Event14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017 - Exeter, Devon, United Kingdom
Duration: 21 Jun 201723 Jun 2017

Publication series

NameProceedings - 14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017
Volume2017-November

Conference

Conference14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017
Country/TerritoryUnited Kingdom
CityExeter, Devon
Period21/06/1723/06/17

Keywords

  • GPGPU
  • Gray-level co-occurrence matrix
  • Magnetic resonance imaging (MRI)
  • Texture features extraction

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