Introduction Relative pressure maps may be calculated from MRI velocity images on a voxel-by-voxel basis using the Navier-Stokes equation [1] to calculate the pressure gradient and numerical integration to generate a relative pressure map [3]. We show the accuracy of the derived pressure maps to be very sensitive to imaging noise and partial volume effects, both of which undermine the fluid dyn...

Transfer function is very important for volume rendering. One common approach is to map the gradient magnitude to opacity transfer functions. However, it catches too many small details. Gradient vector flow (GVF) vectors have large magnitudes in the immediate vicinity of the edges, where the GVF vectors keep coordinate with the vectors of the gradient of the edge map. While in homogeneous regio...

Purpose: Quantitative susceptibility mapping (QSM) enables cerebral venous characterization and physiological measurements, such as oxygen extraction fraction (OEF). The exquisite sensitivity of QSM to deoxygenated blood makes it possible to image small veins; however partial volume effects must be addressed for accurate quantification. We present a new method, Iterative Cylindrical Fitting (IC...