For example, in some applications, volumetric measurements ofīrain structures are obtained by manually delineating the region of Standard" methods in quantitative magnetic resonance (MR) imaging Identified by the observer, are often regarded as "gold Observer-based methods, where the region of interest is visually Human brain, magnetic resonance imaging, point counting, stereology, Keywords: Cavalieri sampling, coefficient of error, grey matter, Further analysis on MRīrain data from a second human brain shows that the sampling intensity Points per section that are required to achieve a pre-definedĬoefficient of error of the volume estimator. Recommendation for the minimum number of sections and mean number of Large brain data set obtained from coronal MR images, offers a In particular, this table, which is based on subsampling of a Regions, namely grey matter, white matter, and their union, to a given Researchers who are interested in estimating the volume of brain The aim of this study is to derive a reference table for Section, and subsequently applying error prediction formulae to estimate Current practice involves arbitrarilyĬhoosing the number of sections and sampling intensity within each Retrieved from Ĭavalieri sampling and point counting are frequently applied inĬombination with magnetic resonance (MR) imaging to estimate the volume
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APA style: Sampling intensity with fixed precision when estimating volume of human brain compartments.Sampling intensity with fixed precision when estimating volume of human brain compartments." Retrieved from 2008 Slovenian Society for Stereology and Quantitative Image Analysis 29 Dec.
#STEREOLOGY COEFFICIENT OF ERROR FREE#
MLA style: "Sampling intensity with fixed precision when estimating volume of human brain compartments." The Free Library.