Intuitive mapping of perfusion parameters to glyph shape

Abstract

Perfusion data characterize the regional blood flow in human tissue. For each voxel, a time-intensity curve (TIC) represents the enhancement of a contrast agent (CA). Parameters describing the TIC shape, e.g. the area below the curve (1), maximum (2), and slope (3), characterize the perfusion and have to be derived and integrated for diagnosis. We present the integrated visualization of perfusion parameters based on their intuitive mapping to glyph shape. Glyph attributes such as size, vertical extension and orientation are modified according to (1), (2), and (3) respectively, thereby generating an easy to interpret coding of TIC shape. We further introduce a multi-resolution glyph display and couple our visualizations with a feature specification component.