| Smith, Rhodri L., Wells, Kevin, Jones, John, Dasari, Paul, Lindsay, Cliff and King, Michael 2013. Toward a framework for high resolution parametric respiratory motion modelling. Presented at: 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC), Seoul, South Korea, 27 October-2 November 2013. 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC). IEEE, 1--4. 10.1109/NSSMIC.2013.6829294 |
Abstract
A framework to facilitate the realization of dynamic MRI data with simultaneously increased temporal and spatial resolution is proposed. Deformable registration to a reference frame of spatially sparse, high temporally resolved two dimensional sagittal slices acquired sequentially across a volunteers lateral dimension serve as a subset of incomplete observation of full three dimensional vector fields. Registration of an averaged, re-binned, single respiratory cycle with full spatial sampling serves as a basis for estimation of full three dimensional vector fields derived from the sparse subset. The inverse of the estimated full 3D vector fields from sparse measurements allows propagation of a high resolution, re binned static volume with breathing modes derived from the sparse dynamic data. Proof of concept experiments are undertaken with the anthropomorphic XCAT phantom. A quantitative evaluation of full vector fields derived from sparse samples in comparison to their ground truth results in a mean error of the order of 1mm. A qualitative assessment of the motion of a propagated high resolution static MRI volume is presented.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Status: | Published |
| Schools: | Medicine |
| Publisher: | IEEE |
| ISBN: | 9781479905348 |
| Last Modified: | 22 Jan 2020 15:30 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/126776 |
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