3D point cloud sensors for low-cost medical in-situ visualization

Abstract

Medical in-situ visualization deals with the display of patient specific imaging data at the location where they actually are. To be effective, it requires high end I/O devices, and computationally expensive and time-consuming algorithms. In this paper, we explore the potential simplifications derived from the use of 3D point cloud sensors in medical augmented reality applications by designing a low-cost system that takes advantage of depth data to apply medical imagery to live video streams of patients.