Reducing execution time in CT angiography and dynamic CT brain image registration through code optimisation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we present a preliminary assessment of code optimisation for automatic intensity-based 3D image registration of dynamic CT (used for CT perfusion imaging) to CT angiography (CTA) images. This registration step is intended to be a pre-processing stage for an automated volumetric CT stroke image diagnosis system. The dynamic CT images were acquired with a gantry tilt and which has to be considered in the image registration step. We have previously shown that tilt correction can be performed implicitly and combined with intensity based registration to the CTA image. The processing time though, may hinder its usefulness in a clinical setting. Hence we show how the processing time can be reduced by around 75% simply by changing the implementation of trilinear interpolation in the registration algorithm. Some prospect for further improvement using GPUs is also touched upon.

Original languageEnglish
Title of host publication2nd International Conference on BioSignal Analysis, Processing and Systems, ICBAPS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages37-40
Number of pages4
ISBN (Electronic)9781538612774
DOIs
Publication statusPublished - 7 Nov 2018
Event2nd International Conference on BioSignal Analysis, Processing and Systems, ICBAPS 2018 - Kuching, Sarawak, Malaysia
Duration: 24 Jul 201826 Jul 2018

Other

Other2nd International Conference on BioSignal Analysis, Processing and Systems, ICBAPS 2018
CountryMalaysia
CityKuching, Sarawak
Period24/7/1826/7/18

Fingerprint

Angiography
Image registration
Brain
Cone-Beam Computed Tomography
Perfusion Imaging
Processing
Stroke
Interpolation
Imaging techniques
Computed Tomography Angiography

Keywords

  • CT angiography
  • CT perfusion
  • dynamic CT
  • GPU
  • image registration
  • stroke

ASJC Scopus subject areas

  • Health Informatics
  • Signal Processing
  • Biomedical Engineering

Cite this

Abd Rahni, A. A., Gunasekaran, G., Arka, I. H., Chell, K., Mohamed Mukari, S. A., & Sahathevan, R. (2018). Reducing execution time in CT angiography and dynamic CT brain image registration through code optimisation. In 2nd International Conference on BioSignal Analysis, Processing and Systems, ICBAPS 2018 (pp. 37-40). [8527409] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICBAPS.2018.8527409

Reducing execution time in CT angiography and dynamic CT brain image registration through code optimisation. / Abd Rahni, Ashrani Aizzuddin; Gunasekaran, Gunawathi; Arka, Israna Hossain; Chell, Kalaivani; Mohamed Mukari, Shahizon Azura; Sahathevan, Ramesh.

2nd International Conference on BioSignal Analysis, Processing and Systems, ICBAPS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 37-40 8527409.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abd Rahni, AA, Gunasekaran, G, Arka, IH, Chell, K, Mohamed Mukari, SA & Sahathevan, R 2018, Reducing execution time in CT angiography and dynamic CT brain image registration through code optimisation. in 2nd International Conference on BioSignal Analysis, Processing and Systems, ICBAPS 2018., 8527409, Institute of Electrical and Electronics Engineers Inc., pp. 37-40, 2nd International Conference on BioSignal Analysis, Processing and Systems, ICBAPS 2018, Kuching, Sarawak, Malaysia, 24/7/18. https://doi.org/10.1109/ICBAPS.2018.8527409
Abd Rahni AA, Gunasekaran G, Arka IH, Chell K, Mohamed Mukari SA, Sahathevan R. Reducing execution time in CT angiography and dynamic CT brain image registration through code optimisation. In 2nd International Conference on BioSignal Analysis, Processing and Systems, ICBAPS 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 37-40. 8527409 https://doi.org/10.1109/ICBAPS.2018.8527409
Abd Rahni, Ashrani Aizzuddin ; Gunasekaran, Gunawathi ; Arka, Israna Hossain ; Chell, Kalaivani ; Mohamed Mukari, Shahizon Azura ; Sahathevan, Ramesh. / Reducing execution time in CT angiography and dynamic CT brain image registration through code optimisation. 2nd International Conference on BioSignal Analysis, Processing and Systems, ICBAPS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 37-40
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