Free-Form Deformations Using Adaptive Control Point Status for Whole Heart MR Segmentation

Authors:
Xiahai Zhuang;Kawal Rhode;Reza Razavi;David J. Hawkes;Sebastien Ourselin
Affiliations:
Centre for Medical Image Computing, Medical Physics Department, University College London, UK WC1E 6BT;Division of Imaging Science, King's College London, UK SE1 7EH;Division of Imaging Science, King's College London, UK SE1 7EH;Centre for Medical Image Computing, Medical Physics Department, University College London, UK WC1E 6BT;Centre for Medical Image Computing, Medical Physics Department, University College London, UK WC1E 6BT
Venue:
FIMH '09 Proceedings of the 5th International Conference on Functional Imaging and Modeling of the Heart
Year:
2009

Citing 5
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Abstract

Whole heart segmentation from cardiac MRI is useful in clinics but challenging due to the large shape variation of the heart and many indistinct boundaries commonly presented in the MR images, especially in pathological cases. Image registration for whole heart MR images has been developed and applied to atlas propagation based segmentation . In this paper, we base on this segmentation framework and propose a new non rigid registration, a free-form deformations (FFDs) registration using adaptive control point status, for the segmentation refinement. This method activates and optimises control points according to the combined information of the deformation field and the heart surface from the atlas to improve the registration performance. The segmentation framework using this registration demonstrates a RMS accuracy of 1.8±0.2 mm in 10 pathological data.