3D visualization of angiography data is an important preprocessing step in diagnosis of vascular disease. This paper
describes an efficient volume rendering method to emphasize feature-rich region (or focus) in the 3D angiography data.
The method takes the input 3D angiography data and computes the focus with user specification or certain feature
extraction algorithms. Then, a distance map is constructed based on the description of the focused region(s). While
rendering the 3D angiography data, the nonlinear ray tracing method is used and the gradient of the distance volume is
applied to guide ray marching. In the result image, the focused region(s) appears larger than in the normal ray-casting
image, while the context (other regions of the volume) can be still preserved in the image (maybe displayed in a shrink
size). This method avoids deforming the original volume to magnify focus regions, which is expensive to compute, thus
improves the performance.
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