Comparison of intensity based deformable registration methods for respiratory motion modelling from 4D MRI

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

Abstract

Deformable image registration is a key part of modern medical image processing and analysis. The aim of image registration is to align one image to another image. In this paper, three deformable image registration methods (NiftyReg, MRF-based and lreg) are compared based on their estimated motion field from 4D MRI data for respiratory motion modelling. The result shows that all of these methods are able to extract respiratory motion with different degrees of certainty. In terms of overall displacement for each organ, lreg with piecewise affine transformation produces more realistic motion than NiftyReg and MRF-Based registration. Finally, we can conclude that deformable image registration can be used to extract respiratory motion for applications such as integration into external beam radiotherapy treatment planning and delivery.

Original languageEnglish
Title of host publicationIEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages439-442
Number of pages4
ISBN (Electronic)9781479989966
DOIs
Publication statusPublished - 17 Feb 2016
Event4th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Kuala Lumpur, Malaysia
Duration: 19 Oct 201521 Oct 2015

Other

Other4th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2015
CountryMalaysia
CityKuala Lumpur
Period19/10/1521/10/15

Fingerprint

Image registration
Magnetic resonance imaging
Medical image processing
Radiotherapy
Image analysis
Planning

ASJC Scopus subject areas

  • Computer Science Applications
  • Signal Processing

Cite this

Golkar, E., Abd Rahni, A. A., & Sulaiman, R. (2016). Comparison of intensity based deformable registration methods for respiratory motion modelling from 4D MRI. In IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings (pp. 439-442). [7412231] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSIPA.2015.7412231

Comparison of intensity based deformable registration methods for respiratory motion modelling from 4D MRI. / Golkar, Ehsan; Abd Rahni, Ashrani Aizzuddin; Sulaiman, Riza.

IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. p. 439-442 7412231.

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

Golkar, E, Abd Rahni, AA & Sulaiman, R 2016, Comparison of intensity based deformable registration methods for respiratory motion modelling from 4D MRI. in IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings., 7412231, Institute of Electrical and Electronics Engineers Inc., pp. 439-442, 4th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2015, Kuala Lumpur, Malaysia, 19/10/15. https://doi.org/10.1109/ICSIPA.2015.7412231
Golkar E, Abd Rahni AA, Sulaiman R. Comparison of intensity based deformable registration methods for respiratory motion modelling from 4D MRI. In IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. p. 439-442. 7412231 https://doi.org/10.1109/ICSIPA.2015.7412231
Golkar, Ehsan ; Abd Rahni, Ashrani Aizzuddin ; Sulaiman, Riza. / Comparison of intensity based deformable registration methods for respiratory motion modelling from 4D MRI. IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 439-442
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