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- Open Access
Elliptical Subject Specific model for respiratory motion
© Burger et al; licensee BioMed Central Ltd. 2012
- Published: 1 February 2012
- Respiratory Motion
- Transformation Matrice
- Rigid Transformation
- Affine Matrix
- Elliptical Model
Novel non-rigid Elliptical model for Subject Specific motion correction for respiratory motion.
Respiratory motion of the heart poses a problem for high resolution cardiac MR imaging. Prospective slice following uses the navigator position immediately prior to the imaging segment to correct the slice positions throughout the segment . The navigator is typically placed over the right hemi-diaphragm and a fixed correction factor is used to adjust for the difference to the motion of the heart. The relationship between the motion of the heart and the superior-inferior motion of the diaphragm is approximately linear although highly subject specific, with an element of hysteresis . We investigated a more complex model to incorporate non rigid transformation of the heart as well as hysteresis.
In this study we investigated the possibility of modelling the respiratory motion of the heart non-rigidly including the hysteretic effect. Nine healthy subjects received MR scanning according to protocols that had been approved by the IRB’s of Imperial College London and University of Cape Town. A single-shot 2D image of the heart, preceded by a navigator, was acquired during each cardiac cycle for ninety cycles. Coronal and sagittal images were acquired with in-plane resolution 1.61x1.88 mm after interpolation.
Images were cropped, segmented and registered non-rigidly to the first image in the series. The first navigator value was used as the reference. In order to account for the hysteresis, respiratory motion was modelled using an ellipse superimposed on a straight line. A cost function set to minimize the RMS-error of the model was used to calibrate each component of the affine matrix model. The model was tested by comparing transformation matrices computed using the navigator outputs for each cardiac cycle and our subject-specific respiratory model to transformation matrices obtained using co-registration.
The process was completely automated in order to be replicable online to allow rapid construction of a subject-specific model from a short pre-scan. The results show that the elliptical model performs better than the linear affine model.
The South African Research Chairs Initiative of the Department of Science and Technology and National Research Foundation of South Africa.
Medical Research Council of South Africa, South Africa / Norway Research Collaboration Programme, and the University of Cape Town.
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