Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Toward a framework for high resolution parametric respiratory motion modelling

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

Full text not available from this repository.

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: http://orca-mwe.cf.ac.uk/id/eprint/126776

Citation Data

Cited 2 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item