ABSTRACT Paramagnetic deoxyhemoglobin in venous blood is a naturally occurring contrast agent for magnetic resonance imaging (MRI). By accentuating the effects of this agent through the use of gradient-echo techniques in high fields, we demonstrate in vivo images of brain microvasculature

cataract, could hamper efficacy of optically based retinal imaging techniques. Magnetic resonance imaging (MRI), in contrast, is a non-flowmetry; BOLD, blood-oxygen-level-dependent; PVE, partial-volume effect.

Magnetic resonance imaging (MRI) has revolutionized modern medical practice. MRI is an essentially noninvasive tool for eliciting information about both the function and structure of the human body. Investigators who use MRI are faced with many unique challenges in the design, analysis

effects that affects quantitatively image analysis and avoid the application classical intensity-based segmentation and other medical functions. In this Master thesis, a new method for Intensity Inhomogeneity correction at high field is presented. At high field is not possible to achieve the estimation

Cognitive processes are widely distributed across the whole brain, involving interacting and overlapping brain regions. Magnetic resonance imaging (MRI) provides a noninvasive, in vivo, quantitative measurement of psycho-physiologically relevant parameters that are related to cognitive operations

analysis of event-related functional magnetic resonance

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Motion of the patient during magnetic resonance imaging (MRI) introduces artifacts that can severely degrade the images. A method is proposed to correct for artifacts caused by translational motion, using only information contained in the MRI data. Initial simulation results show the algorithm

DISTRIBUTION STATEMENT: Approved for public release; distribution unlimited The views, opinions and/or findings contained in this report are those of the author(s) and should not be construed as an official Department of the Army position, policy or decision unless so designated by other documentation. 19970117 099 OTCQUAIOTDHS

Non-invasive estimation of pulmonary vascular resistance with cardiac magnetic resonance