Segmentation of 3D tubular structures based on 3D intensity models and particle filter tracking

Stefan Wörz; William J. Godinez; Karl Rohr

doi:10.1117/12.811705

27 March 2009 Segmentation of 3D tubular structures based on 3D intensity models and particle filter tracking

Stefan Wörz, William J. Godinez, Karl Rohr

Proceedings Volume 7259, Medical Imaging 2009: Image Processing; 72591P (2009) https://doi.org/10.1117/12.811705
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

We introduce a new approach for tracking-based segmentation of 3D tubular structures. The approach is based on a novel combination of a 3D cylindrical intensity model and particle filter tracking. In comparison to earlier work we utilize a 3D intensity model as the measurement model of the particle filter, thus a more realistic 3D appearance model is used that directly represents the image intensities of 3D tubular structures within semiglobal regions-of-interest. We have successfully applied our approach using 3D synthetic images and real 3D MRA image data of the human pelvis.

Citation Download Citation

Stefan Wörz, William J. Godinez, and Karl Rohr "Segmentation of 3D tubular structures based on 3D intensity models and particle filter tracking", Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72591P (27 March 2009); https://doi.org/10.1117/12.811705

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