Med Biol Eng Comput - Interactive segmentation of plexiform neurofibroma tissue: method and preliminary performance evaluation.

Tópicos

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Resumo

Plexiform neurofibromas (PNs) are a major manifestation of neurofibromatosis-1 (NF1), a common genetic disease involving the nervous system. Treatment decisions are mostly based on a gross assessment of changes in tumor using MRI. Accurate volumetric measurements are rarely performed in this kind of tumors mainly due to its great dispersion, size, and multiple locations. This paper presents a semi-automatic method for segmentation of PN from STIR MRI scans. The method starts with a user-based delineation of the tumor area in a single slice and automatically segments the PN lesions in the entire image based on the tumor connectivity. Experimental results on seven datasets, with lesion volumes in the range of 75-690 ml, yielded a mean absolute volume error of 10 % (after manual adjustment) as compared to manual segmentation by an expert radiologist. The mean computation and interaction time was 13 versus 63 min for manual annotation.

Resumo Limpo

plexiform neurofibroma pns major manifest neurofibromatosi nf common genet diseas involv nervous system treatment decis most base gross assess chang tumor use mri accur volumetr measur rare perform kind tumor main due great dispers size multipl locat paper present semiautomat method segment pn stir mri scan method start userbas delin tumor area singl slice automat segment pn lesion entir imag base tumor connect experiment result seven dataset lesion volum rang ml yield mean absolut volum error manual adjust compar manual segment expert radiologist mean comput interact time versus min manual annot

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