A multivolume visualization method for spatially aligned volumes after 3D/3D image registration

Abstract : Objective. A new method for the visualization of spatially 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. Materials and methods. First, we form a vectorial volume from spatially aligned multi-volume after 3D registration. 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. Results. 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. Discussion. According to the levels where the data intermixing occurs, our method mixes the data at the earliest level so that it is called the acquisition level intermixing method.