Int J Comput Assist Radiol Surg - Boundary estimation of fiber bundles derived from diffusion tensor images.

Tópicos

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Resumo

RPOSE: Diffusion tensor imaging (DTI) is a non-invasive imaging technique that allows estimating the location of white matter tracts based on the measurement of water diffusion properties. Using DTI data, the fiber bundle boundary can be determined to gain information about eloquent structures, which is of major interest for neurosurgical interventions. In this paper, a novel approach for boundary estimation is presented.METHODS: DTI in combination with diverse segmentation algorithms allows estimating the position and course of fiber tracts in the human brain. For additional information about the expansion of the fiber bundle, the introduced iterative approach uses the centerline of a tracked fiber bundle between two regions of interest (ROI). After sampling along this centerline, rays are sent out radially, discrete 2D contours are calculated, and the fiber bundle boundary is estimated in a stepwise manner. For this purpose, each ray is analyzed using several criteria, including anisotropy parameters and angle parameters, to find the boundary point.RESULTS: The novel method for automatically calculating the boundaries has been applied to several artificially generated DTI datasets. Multiple parameters were varied: number of rays per plane, sampling rate and sampled points along the rays. For the DTI data used in the experiments, the method yielded a dice similarity coefficient (DSC) between 74.7 and 91.5%.CONCLUSIONS: In this paper, a novel approach to retrieve significant information about the fiber bundle boundary from DTI data is presented. The method is a contribution to gather important knowledge about high-risk structures in neurosurgical interventions.

Resumo Limpo

rpose diffus tensor imag dti noninvas imag techniqu allow estim locat white matter tract base measur water diffus properti use dti data fiber bundl boundari can determin gain inform eloqu structur major interest neurosurg intervent paper novel approach boundari estim presentedmethod dti combin divers segment algorithm allow estim posit cours fiber tract human brain addit inform expans fiber bundl introduc iter approach use centerlin track fiber bundl two region interest roi sampl along centerlin ray sent radial discret d contour calcul fiber bundl boundari estim stepwis manner purpos ray analyz use sever criteria includ anisotropi paramet angl paramet find boundari pointresult novel method automat calcul boundari appli sever artifici generat dti dataset multipl paramet vari number ray per plane sampl rate sampl point along ray dti data use experi method yield dice similar coeffici dsc conclus paper novel approach retriev signific inform fiber bundl boundari dti data present method contribut gather import knowledg highrisk structur neurosurg intervent

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