PURPOSE: To acquire high spectral and spatial resolution (HiSS) MR images of the water resonance in rat brain, evaluate the lineshape of the water resonance in small voxels, and compare images derived from HiSS data with conventional images. MATERIALS AND METHODS: Spectroscopic images of rat brain were obtained at 4.7 Tesla using phase encoding gradients only. Spectral resolution in each voxel was approximately 8 Hz and bandwidth was 1,000 Hz. Spatial resolution was approximately 250 microns in 1-mm slices. Images were synthesized to show the water signal integral, peak height, linewidth, resonance frequency, and asymmetry. RESULTS: Two or more resolved components of the water resonance were detected in approximately 14% +/- 6% of voxels in the brains of eight rats. The water resonances in approximately 20% +/- 10% of voxels (n = 8) were highly asymmetric. Images with intensity proportional to water signal peak height, T(2)*, or to selected components of the water resonance showed features that were not evident in conventional images. CONCLUSIONS: The complexity of the water signal reflects the anatomy and physiology of the sub-voxelar environment, and may be a useful source of image contrast. HiSS imaging of brain provides accurate anatomic information, and may improve image contrast and delineation of subtle anatomic features. Copyright 2002 Wiley-Liss, Inc.
PURPOSE: To acquire high spectral and spatial resolution (HiSS) MR images of the water resonance in rat brain, evaluate the lineshape of the water resonance in small voxels, and compare images derived from HiSS data with conventional images. MATERIALS AND METHODS: Spectroscopic images of rat brain were obtained at 4.7 Tesla using phase encoding gradients only. Spectral resolution in each voxel was approximately 8 Hz and bandwidth was 1,000 Hz. Spatial resolution was approximately 250 microns in 1-mm slices. Images were synthesized to show the water signal integral, peak height, linewidth, resonance frequency, and asymmetry. RESULTS: Two or more resolved components of the water resonance were detected in approximately 14% +/- 6% of voxels in the brains of eight rats. The water resonances in approximately 20% +/- 10% of voxels (n = 8) were highly asymmetric. Images with intensity proportional to water signal peak height, T(2)*, or to selected components of the water resonance showed features that were not evident in conventional images. CONCLUSIONS: The complexity of the water signal reflects the anatomy and physiology of the sub-voxelar environment, and may be a useful source of image contrast. HiSS imaging of brain provides accurate anatomic information, and may improve image contrast and delineation of subtle anatomic features. Copyright 2002 Wiley-Liss, Inc.
Authors: Sean Foxley; Xiaobing Fan; Jonathan River; Marta Zamora; Erica Markiewicz; Shunmugavelu Sokka; Gregory S Karczmar Journal: Phys Med Biol Date: 2012-04-13 Impact factor: 3.609
Authors: Abbie M Wood; Milica Medved; Ian D Bacchus; Hania A Al-Hallaq; Akiko Shimauchi; Gillian M Newstead; Olufunmilayo I Olopade; Srirama S Venkataraman; Marko K Ivancevic; Greg S Karczmar Journal: NMR Biomed Date: 2012-11-20 Impact factor: 4.044
Authors: Milica Medved; Marko K Ivancevic; Olufunmilayo I Olopade; Gillian M Newstead; Gregory S Karczmar Journal: Magn Reson Med Date: 2010-06 Impact factor: 4.668
Authors: Milica Medved; Gillian M Newstead; Xiaobing Fan; Yiping P Du; Olufunmilayo I Olopade; Akiko Shimauchi; Marta A Zamora; Gregory S Karczmar Journal: Phys Med Biol Date: 2009-09-09 Impact factor: 3.609
Authors: Sean Foxley; Xiaobing Fan; Devkumar Mustafi; Chad Haney; Marta Zamora; Erica Markiewicz; Milica Medved; Abbie M Wood; Gregory S Karczmar Journal: Magn Reson Med Date: 2009-02 Impact factor: 4.668