SPASM: segmentation of sparse and arbitrarily oriented cardiac MRI data using a 3D-ASM

Authors:
Hans C. van Assen;Mikhail G. Danilouchkine;Alejandro F. Frangi;Sebastián Ordás;Jos J. M. Westenberg;Johan H. C. Reiber;Boudewijn P. F. Lelieveldt
Affiliations:
Div. of Image Processing, Dep. of Radiology, Leiden University Medical Center, Leiden, Netherlands;Div. of Image Processing, Dep. of Radiology, Leiden University Medical Center, Leiden, Netherlands;Computational Imaging Laboratory, Department of Technology, Universitat Pompeu Fabra, Barcelona, Spain;Computational Imaging Laboratory, Department of Technology, Universitat Pompeu Fabra, Barcelona, Spain;Div. of Image Processing, Dep. of Radiology, Leiden University Medical Center, Leiden, Netherlands;Div. of Image Processing, Dep. of Radiology, Leiden University Medical Center, Leiden, Netherlands;Div. of Image Processing, Dep. of Radiology, Leiden University Medical Center, Leiden, Netherlands
Venue:
FIMH'05 Proceedings of the Third international conference on Functional Imaging and Modeling of the Heart
Year:
2005

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Abstract

In this paper, a new technique (SPASM) based on a 3D-ASM is presented for automatic segmentation of cardiac MRI image data sets consisting of multiple planes with different orientations, and with large undersampled regions. SPASM was applied to sparsely sampled and radially oriented cardiac LV image data. Performance of SPASM has been compared to results from other methods reported in literature. The accuracy of SPASM is comparable to these other methods, but SPASM uses considerably less image data.