Agus et al. present a light-field-display-based three-dimensional (3D) medical visualization prototype that uses volumetric rendering to enhance depth and shape perception.

The authors use a multiple center of projection (MCOP) approach to project graphics. They accomplish volumetric rendering of large datasets by decomposing the dataset into small cubical bricks and organizing it into an octree structure. The paper includes an in-depth analysis of the user interaction, a perceptual evaluation of depth analysis, and a discussion of layout discrimination performance.

Overall, the paper presents an ideal coverage of the advanced volumetric rendering implementations of 3D radiology systems that support collaborative diagnostic sessions. This prototype will be useful to readers who are working on future designs of computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET) scanning systems.