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An optimized method for estimating intracranial volume from magnetic resonance images
Author(s) -
Eritaia Jackie,
Wood Stephen J.,
Stuart Geoffrey W.,
Bridle Nicola,
Dudgeon Paul,
Maruff Paul,
Velakoulis Dennis,
Pantelis Christos
Publication year - 2000
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/1522-2594(200012)44:6<973::aid-mrm21>3.0.co;2-h
Subject(s) - reliability (semiconductor) , sampling (signal processing) , tracing , magnetic resonance imaging , volume (thermodynamics) , computer science , set (abstract data type) , measure (data warehouse) , data mining , computer vision , radiology , medicine , physics , power (physics) , filter (signal processing) , quantum mechanics , programming language , operating system
The accuracy and efficiency of protocols to measure intracranial volume (ICV) from volumetric magnetic resonance imaging (MRI) studies has not been formally analyzed. The ICV of 30 control participants was obtained by tracing every slice of a MRI dataset on which the cranial cavity appeared, and compared with estimated ICVs calculated by progressively selecting one of every x slices (i.e., “1‐in‐ x ”) as a sampling strategy. The reliability and precision of each sampling strategy was then determined. There was virtually no reduction in reliability at the 1‐in‐10 sampling strategy, with a reliability exceeding 0.999. ICV can be confidently traced using a 1‐in‐10 sampling strategy, which should result in significant time savings. Magn Reson Med 44:973–977, 2000. © 2000 Wiley‐Liss, Inc.