Cortical reconstruction using implicit surface evolution: accuracy and precision analysis.

Abstract:

:Two different studies were conducted to assess the accuracy and precision of an algorithm developed for automatic reconstruction of the cerebral cortex from T1-weighted magnetic resonance (MR) brain images. Repeated scans of three different brains were used to quantify the precision of the algorithm, and manually selected landmarks on different sulcal regions throughout the cortex were used to analyze the accuracy of the three reconstructed surfaces: inner, central, and pial. We conclude that the algorithm can find these surfaces in a robust fashion and with subvoxel accuracy, typically with an accuracy of one third of a voxel, although this varies with brain region and cortical geometry. Parameters were adjusted on the basis of this analysis in order to improve the algorithm's overall performance.

journal_name

Neuroimage

journal_title

NeuroImage

authors

Tosun D,Rettmann ME,Naiman DQ,Resnick SM,Kraut MA,Prince JL

doi

10.1016/j.neuroimage.2005.08.061

keywords:

subject

Has Abstract

pub_date

2006-02-01 00:00:00

pages

838-52

issue

3

eissn

1053-8119

issn

1095-9572

pii

S1053-8119(05)00653-1

journal_volume

29

pub_type

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