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 language | English |
|---|---|
| Title of host publication | 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781467398626 |
| DOIs | |
| Publication status | Published - 3 Oct 2016 |
| Event | 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015 - San Diego, United States Duration: 31 Oct 2015 → 7 Nov 2015 |
Other
| Other | 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015 |
|---|---|
| Country | United States |
| City | San Diego |
| Period | 31/10/15 → 7/11/15 |
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ASJC Scopus subject areas
- Nuclear and High Energy Physics
- Radiology Nuclear Medicine and imaging
- Instrumentation
Cite this
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 proceeding › Conference contribution
}
TY - GEN
T1 - A composite registration framework for respiratory motion modelling from 4D MRI
AU - Golkar, Ehsan
AU - Abd Rahni, Ashrani Aizzuddin
PY - 2016/10/3
Y1 - 2016/10/3
N2 - 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.
AB - 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.
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U2 - 10.1109/NSSMIC.2015.7582229
DO - 10.1109/NSSMIC.2015.7582229
M3 - Conference contribution
BT - 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
ER -