Improvements in level set segmentation of 3D small animal imagery

Jeffery R Price; Deniz Aykac; Jonathan Wall

doi:10.1117/12.709662

5 March 2007 Improvements in level set segmentation of 3D small animal imagery

Jeffery R Price, Deniz Aykac, Jonathan Wall

Proceedings Volume 6512, Medical Imaging 2007: Image Processing; 651233 (2007) https://doi.org/10.1117/12.709662
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

In this paper, we investigate several improvements to region-based level set algorithms in the context of segmenting x-ray CT data from pre-clinical imaging of small animal models. We incorporate a recently introduced signed distance preserving term into a region-based level set model and provide formulas for a semi-implicit finite difference implementation. We illustrate some pitfalls of topology preserving level sets and introduce the concept of connectivity preservation as a potential alternative. We illustrate the benefits of these improvements on phantom and real data.

Citation Download Citation

Jeffery R Price, Deniz Aykac, and Jonathan Wall "Improvements in level set segmentation of 3D small animal imagery", Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 651233 (5 March 2007); https://doi.org/10.1117/12.709662

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