Comparison of real-time visualization of volumetric OCT data sets by CPU-slicing and GPU-ray casting methods

We describe and compare two volume visualization methods for Optical Coherence Tomography (OCT) retinal data sets. One of these methods is CPU-slicing, which is previously reported and used in our visualization engine. The other is GPU-ray casting. Several metrics including image quality, performance, hardware limitations and perception are used to grade the abilities of each method. We also discuss how to combine these methods to make a scalable volume visualization system that supports advanced lighting and dynamic volumetric shadowing techniques on a broad range of hardware. The feasibility of each visualization method for clinical application as well as potential further improvements are discussed.