@inproceedings{c87f402a58f94f2e8b62ac30ee9ea9de,
title = "A multi-view active contour method for bone cement reconstruction from C-arm X-ray images",
abstract = "A novel algorithm is presented to segment and reconstruct injected bone cement from a sparse set of X-Ray images acquired at arbitrary poses. The Sparse X-Ray Multi-view Active Contour (SxMAC - pronounced {"}smack{"}) can (1) reconstruct objects for which the background partially occludes the object in X-Ray images, (2) use X-Ray images acquired on a non-circular trajectory, and (3) incorporate prior CT information. The algorithm's inputs are pre-processed X-Ray images, their associated pose information, and prior CT, if available. The algorithm initiates automated reconstruction using visual hull computation from a sparse number of x-ray images. It then improves the accuracy of the reconstruction by optimizing a geodesic active contour. A cadaver experiment demonstrates SxMAC's ability to reconstruct high contrast bone cement that has been injected into a femur and achieve sub-millimeter accuracy with 4 images.",
keywords = "Active Contour, Bone Cement, Deformable Models, Intra-operative Imaging, Reconstruction, Segmentation",
author = "Lucas, {Blake C.} and Yoshito Otake and Mehran Armand and Taylor, {Russell H.}",
year = "2011",
doi = "10.1007/978-3-642-21504-9_4",
language = "English (US)",
isbn = "9783642215032",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "36--46",
booktitle = "Information Processing in Computer-Assisted Interventions - Second International Conference, IPCAI 2011, Proceedings",
note = "2nd International Conference on Information Processing in Computer-Assisted Interventions, IPCAI 2011 ; Conference date: 22-06-2011 Through 22-06-2011",
}