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Pirko I, Johnson AJ, Lohrey AK, Chen Y, Ying J. Deep gray matter T2 hypointensity correlates with disability in a murine model of MS. J Neurol Sci. July 2009;282(1-2):34-38.

Full Text – Open Access

Publication Date
July 2009

How Analyze was Used
“All 3D images were co-registered to a base image using a 6 degree of freedom rigid body registration algorithm in the 3D Voxel Registration module of Analyze, a standard biomedical image analysis software (Analyze 8.1…[Robb 2002, 1999]). The Region of Interest Tool was then used to extract a standard coronal slice from the 3D dataset. To measure intensity, a square region of interest (2×2 pixels) was drawn in the thalamus using the ROI analysis tool in Analyze. Measurements of intensity were taken in two regions, the lateral nucleus and the medio-dorsal nucleus (Fig. 1). Intensity from an identical sized ROI placed in the ventricular cerebrospinal fluid (CSF) was also taken for each subject as a method of intensity normalization. The adjusted intensity by taking ratios of the lateral nucleus and/or the medio-dorsal nucleus to the CSF background was used as the outcome measure (referred to as MEAS/CSF ratio in our study). The normalization for intensity differences across scans is necessary due to varying scanner calibration and shimming between the acquisitions.”

Keywords
Animals
Brain/pathology
Cardiovirus Infections
Disease Models, Animal
Disease Progression
Image Processing, Computer-Assisted
Magnetic Resonance Imaging (MRI)
Mice
Motor Activity
Multiple Sclerosis/pathology/psychology
Severity of Illness Index
Thalamus/pathology
Theilovirus
Time Factors

Author Affiliation(s)
Department of Neurology, University of Cincinnati, 260 Stetson St, Cincinnati, OH 45267, US. (IP, AJJ, AKL, YC)

Department of Public Health Sciences, University of Cincinnati, 260 Stetson St, Cincinnati, OH 45267, US. (JY)

ID# 1240

Tags: Animal Disease Models, Animals, Brain/pathology, Cardiovirus Infections, Computer-Assisted Image Processing, Disease Progression, Magnetic Resonance Imaging (MRI), Mice, Motor Activity, Multiple Sclerosis/pathology/psychology, Severity of Illness Index, Thalamus/pathology, Theilovirus, Time Factors