Maximum Intensity Projection Weighted by Statistical Cues

Volumetric visualization of medical data is a specific task, as doctors and radiology technicians are not well trained in the field of computer graphics; therefore, algorithms for visualization of medical data must be as intuitive as possible, so that visualization tools employing them would be helpful in medical environment. Visualization of volumetric data acquired by medical imaging could not be effectively used without defining a proper transfer function, which transforms measured intensities to colours and opacity values. Many visualization methods use complex means for designing transfer functions, which could lead to decreased usability of said methods. We propose a modification of MIP, a common volumetric visualization method that uses a simple one-dimensional transfer function for classifying different materials. The goal of our method is to visualize individual tissues from the medical data, present them with minimal effort and enable users to observe areas of interest.