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Proceedings Paper

Registration-based interpolation applied to cardiac MRI
Author(s): Hildur Ólafsdóttir; Henrik Pedersen; Michael Sass Hansen; Mark Lyksborg; Mads Fogtmann Hansen; Sune Darkner; Rasmus Larsen
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Paper Abstract

Various approaches have been proposed for segmentation of cardiac MRI. An accurate segmentation of the myocardium and ventricles is essential to determine parameters of interest for the function of the heart, such as the ejection fraction. One problem with MRI is the poor resolution in one dimension. A 3D registration algorithm will typically use a trilinear interpolation of intensities to determine the intensity of a deformed template image. Due to the poor resolution across slices, such linear approximation is highly inaccurate since the assumption of smooth underlying intensities is violated. Registration-based interpolation is based on 2D registrations between adjacent slices and is independent of segmentations. Hence, rather than assuming smoothness in intensity, the assumption is that the anatomy is consistent across slices. The basis for the proposed approach is the set of 2D registrations between each pair of slices, both ways. The intensity of a new slice is then weighted by (i) the deformation functions and (ii) the intensities in the warped images. Unlike the approach by Penney et al. 2004, this approach takes into account deformation both ways, which gives more robustness where correspondence between slices is poor. We demonstrate the approach on a toy example and on a set of cardiac CINE MRI. Qualitative inspection reveals that the proposed approach provides a more convincing transition between slices than images obtained by linear interpolation. A quantitative validation reveals significantly lower reconstruction errors than both linear and registration-based interpolation based on one-way registrations.

Paper Details

Date Published: 13 March 2010
PDF: 8 pages
Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 762336 (13 March 2010); doi: 10.1117/12.845057
Show Author Affiliations
Hildur Ólafsdóttir, Technical Univ. of Denmark (Denmark)
Henrik Pedersen, Technical Univ. of Denmark (Denmark)
Glostrup Hospital (Denmark)
Michael Sass Hansen, Technical Univ. of Denmark (Denmark)
Mark Lyksborg, Technical Univ. of Denmark (Denmark)
Mads Fogtmann Hansen, Technical Univ. of Denmark (Denmark)
Sune Darkner, Technical Univ. of Denmark (Denmark)
Rasmus Larsen, Technical Univ. of Denmark (Denmark)


Published in SPIE Proceedings Vol. 7623:
Medical Imaging 2010: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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