24 February 2012 Segmentation of the optic tracts using graph-based techniques
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Abstract
In DBS surgery, electrodes are implanted in specific nuclei of the brain to treat several types of movement disorders. Pre-operative knowledge of the location of the optic tracts may prove useful for pre-operative planning assistance or intra-operative target refinement. In this article we present a semi-automated method to localize the optic tracts in MR. As opposed to previous approaches presented to identify these structures, our methods are able to recover the eccentric shape of the optic tracts. This approach consists of two parts: (1) automatic model construction from manually segmented exemplars and (2) segmentation of structures in unknown images using these models. The segmentation problem is solved by finding an optimal path in a graph. The graph is designed with novel structures that permit the incorporation of prior information from the model into the optimization process and account for several weaknesses of traditional graph-based approaches. The approach achieved mean and maximum surface errors of 0.35 and 1.9 mm in a validation study on 10 images. The results from all experiments were considered acceptable.
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Jack H. Noble, Pierre-François D'Haese, Benoit M. Dawant, "Segmentation of the optic tracts using graph-based techniques", Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83144I (24 February 2012); doi: 10.1117/12.912016; https://doi.org/10.1117/12.912016
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