Mri estimation of contrast agent concentration in tissue using a neural network approach.

Content Provider	CiteSeerX
Author	Bagher-Ebadian, H. Nagaraja, T. Paudyal, R. Whitton, P. Ledbetter, K. Fenstermacher, J. D. Ewing, J. R.
Abstract	The ability of MRI Contrast Agents (CAs) to quantify such physiological variables as blood flow, vascular volume, and vascular transfer constant can be limited by the mixed (e.g. T2 * and T1), and/or nonlinear, contrast mechanisms encountered [1]. Physiological measurements in humans universally employ small CAs such as Gd-DTPA as a contrast agent. In animals, Gd-DTPA-albumin complex can be used in concentration-time studies to quantify tumor vascular transfer constant (K1 or K
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Subject Keyword	Neural Network Approach Mri Estimation Contrast Agent Concentration Physiological Measurement Small Ca Contrast Mechanism Blood Flow Vascular Volume Mri Contrast Agent Physiological Variable Gd-dtpa-albumin Complex Vascular Transfer Constant Tumor Vascular Transfer Constant Concentration-time Study Contrast Agent
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