Sparse appearance model based registration of 3D ultrasound images

Authors:
K. Y. Esther Leung;Marijn van Stralen;Gerard van Burken;Marco M. Voormolen;Attila Nemes;Folkert J. ten Cate;Nico de Jong;Antonius F. W. van der Steen;Johan H. C. Reiber;Johan G. Bosch
Affiliations:
Biomedical Engineering, Thoraxcenter, Erasmus MC, Rotterdam, the Netherlands;Biomedical Engineering, Thoraxcenter, Erasmus MC, Rotterdam, the Netherlands;Biomedical Engineering, Thoraxcenter, Erasmus MC, Rotterdam, the Netherlands;Biomedical Engineering, Thoraxcenter, Erasmus MC, Rotterdam, the Netherlands;Biomedical Engineering, Thoraxcenter, Erasmus MC, Rotterdam, the Netherlands;Biomedical Engineering, Thoraxcenter, Erasmus MC, Rotterdam, the Netherlands;Biomedical Engineering, Thoraxcenter, Erasmus MC, Rotterdam, the Netherlands;Biomedical Engineering, Thoraxcenter, Erasmus MC, Rotterdam, the Netherlands;Div. Image Processing, Dept. of Radiology, Leiden University Medical Center, Leiden, the Netherlands;Biomedical Engineering, Thoraxcenter, Erasmus MC, Rotterdam, the Netherlands
Venue:
Miar'06 Proceedings of the Third international conference on Medical Imaging and Augmented Reality
Year:
2006

Citing 2
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Abstract

In this paper, we propose a sparse appearance model based registration algorithm for segmenting 3D echocardiograms. The end-diastolic model is built in 3D sparsely on 2D planes, representing the anatomical 4-chamber, 2-chamber, and short-axis views. Ultrasound specific intensity normalization and shape-based intensity modeling are employed. The model is matched in an intensity-based registration approach, by perturbing appearance and pose parameters simultaneously. Leave-one-out experiments on 10 patients reveal significant improvement in the segmentation using the normalized cross-correlation metric. The registration method will allow fully automatic extraction of the standard views as used in echocardiography. This will aid in the selection of images for inter- and intra-patient comparison and may provide an alternative for a complete 3D AAM.