PURPOSE: To examine the feasibility of using product acquisition software on a 3-T human MRI system to acquire high-resolution structural brain images in the rat. MATERIALS AND METHODS: Three sets of dual spin-echo, high-resolution (0.234 x 0.234 mm in-plane, 0.5 mm thick) images covering the entire rat brain were collected and averaged in 66 min. The images had sufficient signal-to-noise ratio (SNR) and resolution for visual identification and manual outlining of exemplary structures, including the lateral ventricles and dorsal and ventral portions of the hippocampus. Further, the data were adequate for unsupervised, automated segmentation, permitting quantification of the dorsolateral ventricles. The images compared favorably with those collected on a 7-T system. RESULTS: Interrater reliabilities (intraclass correlations) of manual ventricular scoring were greater than 0.97, and manual vs. automated correlations were 0.97. The variability of lateral ventricular size across animals was substantially higher than that of the hippocampus. CONCLUSION: The large variability of some brain structures that can exist across even a highly selected strain of rats can readily be detected with the use of human 3-T systems for the study of small animals.
PURPOSE: To examine the feasibility of using product acquisition software on a 3-T human MRI system to acquire high-resolution structural brain images in the rat. MATERIALS AND METHODS: Three sets of dual spin-echo, high-resolution (0.234 x 0.234 mm in-plane, 0.5 mm thick) images covering the entire rat brain were collected and averaged in 66 min. The images had sufficient signal-to-noise ratio (SNR) and resolution for visual identification and manual outlining of exemplary structures, including the lateral ventricles and dorsal and ventral portions of the hippocampus. Further, the data were adequate for unsupervised, automated segmentation, permitting quantification of the dorsolateral ventricles. The images compared favorably with those collected on a 7-T system. RESULTS: Interrater reliabilities (intraclass correlations) of manual ventricular scoring were greater than 0.97, and manual vs. automated correlations were 0.97. The variability of lateral ventricular size across animals was substantially higher than that of the hippocampus. CONCLUSION: The large variability of some brain structures that can exist across even a highly selected strain of rats can readily be detected with the use of human 3-T systems for the study of small animals.
Authors: Yichien Lee; Olga C Rodriguez; Chris Albanese; Victor Rodrigues Santos; José Antônio Cortes de Oliveira; Ana Luiza Ferreira Donatti; Artur Fernandes; Norberto Garcia-Cairasco; Prosper N'Gouemo; Patrick A Forcelli Journal: Neurobiol Dis Date: 2017-12-21 Impact factor: 5.996
Authors: Natalie M Zahr; Elena L Fasano Crawford; Oliver Hsu; Shara Vinco; Dirk Mayer; Torsten Rohlfing; Edith V Sullivan; Adolf Pfefferbaum Journal: Brain Res Date: 2009-08-26 Impact factor: 3.252
Authors: Natalie M Zahr; Dirk Mayer; Torsten Rohlfing; Michael P Hasak; Oliver Hsu; Shara Vinco; Juan Orduna; Richard Luong; Edith V Sullivan; Adolf Pfefferbaum Journal: Biol Psychiatry Date: 2009-12-30 Impact factor: 13.382
Authors: Natalie M Zahr; Dirk Mayer; Torsten Rohlfing; Juan Orduna; Richard Luong; Edith V Sullivan; Adolf Pfefferbaum Journal: Neuropsychopharmacology Date: 2013-01-10 Impact factor: 7.853