Journal ArticleDOI
Routine quantitative analysis of brain and cerebrospinal fluid spaces with MR imaging
Ron Kikinis,Martha E. Shenton,Guido Gerig,John Martin,Mark S. Anderson,David Metcalf,Charles R.G. Guttmann,Robert W. McCarley,Ferenc A. Jolesz,William E. Lorensen,Harvey E. Cline +10 more
TLDR
A computerized system for processing spin‐echo magnetic resonance (MR) imaging data was implemented to estimate whole brain and cerebrospinal fluid volumes and to display three‐dimensional surface reconstructions of specified tissue classes, showing good reliability for the automated segmentation procedures.Abstract:
A computerized system for processing spin-echo magnetic resonance (MR) imaging data was implemented to estimate whole brain (gray and white matter) and cerebrospinal fluid volumes and to display three-dimensional surface reconstructions of specified tissue classes. The techniques were evaluated by assessing the radiometric variability of MR volume data and by comparing automated and manual procedures for measuring tissue volumes. Results showed (a) the homogeneity of the MR data and (b) that automated techniques were consistently superior to manual techniques. Both techniques, however, were affected by the complexity of the structure, with simpler structures (eg, the intracranial cavity) showing less variability and better spatial correlation of segmentation results between raters. Moreover, the automated techniques were completed for whole brain in a fraction of the time required to complete the equivalent segmentation manually. Additional evaluations included interrater reliability and an evaluation that included longitudinal measurement, in which one subject was imaged sequentially 24 times, with reliability computed from data collected by three raters over 1 year. Results showed good reliability for the automated segmentation procedures.read more
Citations
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Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation
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Adaptive segmentation of MRI data
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Magnetic resonance imaging study of hippocampal volume in chronic, combat-related posttraumatic stress disorder.
Tamara V. Gurvits,Martha E. Shenton,Martha E. Shenton,Hiroto Hokama,Hiroto Hokama,Hirokazu Ohta,Hirokazu Ohta,Natasha B. Lasko,Natasha B. Lasko,Mark W. Gilbertson,Mark W. Gilbertson,Scott P. Orr,Scott P. Orr,Ron Kikinis,Ron Kikinis,Ferenc A. Jolesz,Ferenc A. Jolesz,Robert W. McCarley,Robert W. McCarley,Roger K. Pitman,Roger K. Pitman +20 more
TL;DR: Hippocampal volume was directly correlated with combat exposure, which suggests that traumatic stress may damage the hippocampus and smaller hippocampi volume may be a pre-existing risk factor for combat exposure and/or the development of PTSD upon combat exposure.
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Geometry-Driven Diffusion in Computer Vision
TL;DR: This paper presents a meta-analyses of differential Invariant Signatures and Flows in Computer Vision: a Symmetry Group approach P. Sapiro, A. Tannenbaum, and a Differential Geometric Approach to Anisotropic Diffusion.
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