VRKidney for Serially Sectioned Image Processing and 3D Reconstruction by Using Visible Korean Human Data Set

A common approach when reconstructing a 3D model from medical images is to do segmentation and registration manually and reconstruct these images in Maya or other 3D modeling software. To afford an effective interaction with serially sectioned medical images and reconstructed 3D models, we propose VRKidney. This medical simulation software acts as a common VR tools on computer for man-machine interaction. By integrating image registration, segmentation and reconstruction, VRKidney provides a fast registration and segmentation method using ITK and an interactive manipulation using VTK. This paper discusses the implementation of VRKidney for serially sectioned images and 3D models of human kidney and provides an initial evaluation of the usability of VRKidney in virtual human functions simulation.