Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) can be used to estimate functional or metabolic parameters which are critical in the diagnosis and treatment of patients with cerebrovascular disease and other brain disorders [1], [2]. The retrieve of hemodynamic parameters from DCE-MRI is essentially an inverse problem. Tikhonov regularization method is one of the deconvolution techniques to obtain hemodynamic parameters such as cerebral blood flow (CBF) and cerebral blood volume (CBV). The effects of some factors, like signal-to-noise ratio, tracer delay and dispersion of arterial input function (AIF), must be analyzed [3],[4].