A Multi-Volume Visualization Framework for Spatial Aligned Volumes after 3D/3D Image Registration

TL;DR: A new method for the visualization of spatial aligned volumes after 3D/3D image registration is presented, which mix the data at the earliest level so that it is called the acquisition level intermixing method.

Abstract: A new method for the visualization of spatial aligned volumes after 3D/3D image registration is presented in this paper. This work aims at displaying the full information of the multi-volume in the same scene. First, we form a vectorial volume from the spatial aligned multi-volume. Then, a statistical vectorial volume classification method based on neighborhood weighted Gaussian mixture model is applied to analyze the vectorial volume and get material distribution information. Finally, several rendering techniques are adapted to visualize the parameters. We imply an application case: the visualization of preoperative kidney planning system to express our visualization method, but this method is not limited to the specific application case. According to the levels where the data intermixing occurs, our method mix the data at the earliest level so that it is called the acquisition level intermixing method.