Multiple 2D video/3D medical image registration algorithm Export

@inproceedings{Clarkson00, abstract = {In this paper we propose a novel method to register at least two vide images to a 3D surface model. The potential applications of such a registration method could be in image guided surgery, high precision radiotherapy, robotics or computer vision. Registration is performed by optimizing a similarity measure with respect to the pose parameters. The similarity measure is based on 'photo-consistency' and computes for each surface point, how consistent the corresponding video image information in each view is with a lighting model. We took four video views of a volunteer's face, and used an independent method to reconstruct a surface that was intrinsically registered to the four views. In addition, we extracted a skin surface from the volunteer's MR scan. The surfaces were misregistered from a gold standard pose and our algorithm was used to register both types of surfaces to the video images. For the reconstructed surface, the mean 3D error was 1.53 mm. For the MR surface, the standard deviation of the pose parameters after registration ranged from 0.12 to 0.70 mm and degrees. The performance of the algorithm is accurate, precise and robust.}, author = {Clarkson, M. J. and Rueckert, D. and Hill, D. L. and Hawkes, D. J.}, citeulike-article-id = {6032070}, citeulike-linkout-0 = {http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=PSISDG003979000001000342000001&idtype=cvips&gifs=yes}, citeulike-linkout-1 = {http://link.aip.org/link/?PSI/3979/342}, editor = {Hanson, Kenneth M.}, journal = {Medical Imaging 2000: Image Processing}, keywords = {2d-imaging, 3d-imaging, intensity-based, mutual-information, registration, video}, location = {San Diego, CA, USA}, number = {1}, pages = {342--352}, posted-at = {2009-10-29 13:02:13}, priority = {2}, publisher = {SPIE}, title = {Multiple 2D video/3D medical image registration algorithm}, url = {http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=PSISDG003979000001000342000001&idtype=cvips&gifs=yes}, volume = {3979}, year = {2000} }

TY - CONF ID - Clarkson00 L3 - citeulike-article-id:6032070 N2 - In this paper we propose a novel method to register at least two vide images to a 3D surface model. The potential applications of such a registration method could be in image guided surgery, high precision radiotherapy, robotics or computer vision. Registration is performed by optimizing a similarity measure with respect to the pose parameters. The similarity measure is based on 'photo-consistency' and computes for each surface point, how consistent the corresponding video image information in each view is with a lighting model. We took four video views of a volunteer's face, and used an independent method to reconstruct a surface that was intrinsically registered to the four views. In addition, we extracted a skin surface from the volunteer's MR scan. The surfaces were misregistered from a gold standard pose and our algorithm was used to register both types of surfaces to the video images. For the reconstructed surface, the mean 3D error was 1.53 mm. For the MR surface, the standard deviation of the pose parameters after registration ranged from 0.12 to 0.70 mm and degrees. The performance of the algorithm is accurate, precise and robust. CY - San Diego, CA, USA IS - 1 JF - Medical Imaging 2000: Image Processing EP - 352 TI - Multiple 2D video/3D medical image registration algorithm PB - SPIE VL - 3979 SP - 342 KW - 2d-imaging KW - 3d-imaging KW - intensity-based KW - mutual-information KW - registration KW - video AU - Clarkson, MJ AU - Rueckert, D AU - Hill, DL AU - Hawkes, DJ A2 - Hanson, Kenneth PY - 2000/// UR - http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=PSISDG003979000001000342000001&idtype=cvips&gifs=yes ER -