A composite registration framework for respiratory motion modelling from 4D MRI

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

2 Citations (Scopus)

Abstract

4D MRI is current gaining attention as an imaging modality which is able to capture inter-cycle variability of respiratory motion. Such information is beneficial for example in radiotherapy planning and delivery. However the motion extracted from 4D MRI is dependant on the method of processing the images. Typically a deformable registration algorithm is used so that the 3D motion of every point in the image can be found. We have used several popular registration algorithms which have been recently published with publicly available data. Our findings suggest that due to the low contrast of 4D MRI, the registration is only accurate near clear boundaries, and less accurate elsewhere, to different degrees depending on the algorithm used. We thus suggest modelling organ deformation as an affine transformation, which is then embedded into the deformation field for more accurate modelling of respiratory motion.

Original languageEnglish
Title of host publication2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467398626
DOIs
Publication statusPublished - 3 Oct 2016
Event2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015 - San Diego, United States
Duration: 31 Oct 20157 Nov 2015

Other

Other2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015
CountryUnited States
CitySan Diego
Period31/10/157/11/15

Fingerprint

Magnetic resonance imaging
composite materials
Composite materials
Radiotherapy
organs
planning
Imaging techniques
Planning
radiation therapy
delivery
Processing
cycles

ASJC Scopus subject areas

  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging
  • Instrumentation

Cite this

Golkar, E., & Abd Rahni, A. A. (2016). A composite registration framework for respiratory motion modelling from 4D MRI. In 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015 [7582229] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSSMIC.2015.7582229

A composite registration framework for respiratory motion modelling from 4D MRI. / Golkar, Ehsan; Abd Rahni, Ashrani Aizzuddin.

2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. 7582229.

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

Golkar, E & Abd Rahni, AA 2016, A composite registration framework for respiratory motion modelling from 4D MRI. in 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015., 7582229, Institute of Electrical and Electronics Engineers Inc., 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015, San Diego, United States, 31/10/15. https://doi.org/10.1109/NSSMIC.2015.7582229
Golkar E, Abd Rahni AA. A composite registration framework for respiratory motion modelling from 4D MRI. In 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015. Institute of Electrical and Electronics Engineers Inc. 2016. 7582229 https://doi.org/10.1109/NSSMIC.2015.7582229
Golkar, Ehsan ; Abd Rahni, Ashrani Aizzuddin. / A composite registration framework for respiratory motion modelling from 4D MRI. 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015. Institute of Electrical and Electronics Engineers Inc., 2016.
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