pq-space Based Non-Photorealistic Rendering for Augmented Reality

The increasing use of robotic assisted minimally invasive surgery (MIS) provides an ideal environment for using Augmented Reality (AR) for performing image guided surgery. Seamless synthesis of AR depends on a number of factors relating to the way in which virtual objects appear and visually interact with a real environment. Traditional overlaid AR approaches generally suffer from a loss of depth perception. This paper presents a new AR method for robotic assisted MIS, which uses a novel pq-space based non-photorealistic rendering technique for providing see-through vision of the embedded virtual object whilst maintaining salient anatomical details of the exposed anatomical surface. Experimental results with both phantom and in vivo lung lobectomy data demonstrate the visual realism achieved for the proposed method and its accuracy in providing high fidelity AR depth perception.

[1]  Guang-Zhong Yang,et al.  pq-Space Based 2D/3D Registration for Endoscope Tracking , 2003, MICCAI.

[2]  Frank Sauer,et al.  An Augmented Reality Navigation System with a Single-Camera Tracker: System Design and Needle Biopsy Phantom Trial , 2002, MICCAI.

[3]  Ryutarou Ohbuchi,et al.  Merging virtual objects with the real world: seeing ultrasound imagery within the patient , 1992, SIGGRAPH.

[4]  David J. Hawkes,et al.  Design and evaluation of a system for microscope-assisted guided interventions (MAGI) , 1999, IEEE Transactions on Medical Imaging.

[5]  Eric Kolstad,et al.  Egocentric depth judgments in optical, see-through augmented reality , 2007, IEEE Transactions on Visualization and Computer Graphics.

[6]  Nassir Navab,et al.  Depth Perception - A Major Issue in Medical AR: Evaluation Study by Twenty Surgeons , 2006, MICCAI.

[7]  M. Okumura,et al.  Long-term outcomes after a variety of video-assisted thoracoscopic lobectomy approaches for clinical stage IA lung cancer: a multi-institutional study. , 2006, The Journal of thoracic and cardiovascular surgery.

[8]  Peter Burger,et al.  Differential algorithm for the determination of shape from shading using a point light source , 1992, Image Vis. Comput..

[9]  Danail Stoyanov,et al.  A practical approach towards accurate dense 3D depth recovery for robotic laparoscopic surgery , 2005, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.

[10]  Takayuki Okatani,et al.  Shape Reconstruction from an Endoscope Image by Shape from Shading Technique for a Point Light Source at the Projection Center , 1997, Comput. Vis. Image Underst..

[11]  David Hawkes,et al.  Surface transparency makes stereo overlays unpredictable: the implications for augmented reality. , 2003, Studies in health technology and informatics.

[12]  Ron Kikinis,et al.  Medical Image Computing and Computer-Assisted Intervention — MICCAI 2002 , 2002, Lecture Notes in Computer Science.

[13]  Terry M. Peters,et al.  Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003 , 2003, Lecture Notes in Computer Science.

[14]  Lasse Riis Østergaard,et al.  Active Surface Approach for Extraction of the Human Cerebral Cortex from MRI , 2006, MICCAI.