TY - GEN
T1 - Supervised classification for customized intraoperative augmented reality visualization
AU - Pauly, Olivier
AU - Katouzian, Amin
AU - Eslami, Abouzar
AU - Fallavollita, Pascal
AU - Navab, Nassir
PY - 2012
Y1 - 2012
N2 - In this paper, we present a fusion algorithm supplemented with appropriate visualization by selecting relevant information from different modalities in mixed and augmented reality (AR). This encompasses a learning based method upon relevance of information, defined by an expert, which ultimately enables confident interventional decisions based on mixed reality (MR) images. The performance of our developed fusion and tailored visualization techniques was evaluated by employing X-ray/optical images during surgery and validated qualitatively using a 5-point Likert scale. Our observations indicated that the proposed technique provided semantic contextual information about underlying pixels and in general was preferred over the traditional pixel-wise linear alpha-blending method.
AB - In this paper, we present a fusion algorithm supplemented with appropriate visualization by selecting relevant information from different modalities in mixed and augmented reality (AR). This encompasses a learning based method upon relevance of information, defined by an expert, which ultimately enables confident interventional decisions based on mixed reality (MR) images. The performance of our developed fusion and tailored visualization techniques was evaluated by employing X-ray/optical images during surgery and validated qualitatively using a 5-point Likert scale. Our observations indicated that the proposed technique provided semantic contextual information about underlying pixels and in general was preferred over the traditional pixel-wise linear alpha-blending method.
KW - CamC
KW - Fusion
KW - Medical Augmented Reality
KW - Relevant Information
KW - Visualization
KW - X-ray
UR - http://www.scopus.com/inward/record.url?scp=84873563450&partnerID=8YFLogxK
U2 - 10.1109/ISMAR.2012.6402589
DO - 10.1109/ISMAR.2012.6402589
M3 - Conference contribution
AN - SCOPUS:84873563450
SN - 9781467346603
T3 - ISMAR 2012 - 11th IEEE International Symposium on Mixed and Augmented Reality 2012, Science and Technology Papers
SP - 311
EP - 312
BT - ISMAR 2012 - 11th IEEE International Symposium on Mixed and Augmented Reality 2012, Science and Technology Papers
T2 - 11th IEEE and ACM International Symposium on Mixed and Augmented Reality, ISMAR 2012
Y2 - 5 November 2012 through 8 November 2012
ER -