Plexiform neurofibroma tissue classification

L. Weizman; L. Hoch; L. Ben Sira; L. Joskowicz; L. Pratt; S. Constantini; D. Ben Bashat

doi:10.1117/12.877491

14 March 2011 Plexiform neurofibroma tissue classification

L. Weizman, L. Hoch, L. Ben Sira, L. Joskowicz, L. Pratt, S. Constantini, D. Ben Bashat

Proceedings Volume 7962, Medical Imaging 2011: Image Processing; 79623K (2011) https://doi.org/10.1117/12.877491
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

Abstract

Plexiform Neurofibroma (PN) is a major complication of NeuroFibromatosis-1 (NF1), a common genetic disease that involving the nervous system. PNs are peripheral nerve sheath tumors extending along the length of the nerve in various parts of the body. Treatment decision is based on tumor volume assessment using MRI, which is currently time consuming and error prone, with limited semi-automatic segmentation support. We present in this paper a new method for the segmentation and tumor mass quantification of PN from STIR MRI scans. The method starts with a user-based delineation of the tumor area in a single slice and automatically detects the PN lesions in the entire image based on the tumor connectivity. Experimental results on seven datasets yield a mean volume overlap difference of 25% as compared to manual segmentation by expert radiologist with a mean computation and interaction time of 12 minutes vs. over an hour for manual annotation. Since the user interaction in the segmentation process is minimal, our method has the potential to successfully become part of the clinical workflow.

Citation Download Citation

L. Weizman, L. Hoch, L. Ben Sira, L. Joskowicz, L. Pratt, S. Constantini, and D. Ben Bashat "Plexiform neurofibroma tissue classification", Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79623K (14 March 2011); https://doi.org/10.1117/12.877491

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