@inproceedings{08b097f5d3a14b46b356f900642730ab,
title = "3D-3D Registration of partial capitate bones using spin-images",
abstract = "It is often necessary to register partial objects in medical imaging. Due to limited field of view (FOV), the entirety of an object cannot always be imaged. This study presents a novel application of an existing registration algorithm to this problem. The spin-image algorithm [1] creates pose-invariant representations of global shape with respect to individual mesh vertices. These 'spin-images,' are then compared for two different poses of the same object to establish correspondences and subsequently determine relative orientation of the poses. In this study, the spin-image algorithm is applied to 4DCT-derived capitate bone surfaces to assess the relative accuracy of registration with various amounts of geometry excluded. The limited longitudinal coverage under the 4DCT technique (38.4mm, [2]), results in partial views of the capitate when imaging wrist motions. This study assesses the ability of the spin-image algorithm to register partial bone surfaces by artificially restricting the capitate geometry available for registration. Under IRB approval, standard static CT and 4DCT scans were obtained on a patient. The capitate was segmented from the static CT and one phase of 4DCT in which the whole bone was available. Spin-image registration was performed between the static and 4DCT. Distal portions of the 4DCT capitate (10-70%) were then progressively removed and registration was repeated. Registration accuracy was evaluated by angular errors and the percentage of sub-resolution fitting. It was determined that 60% of the distal capitate could be omitted without appreciable effect on registration accuracy using the spin-image algorithm (angular error < 1.5 degree, sub-resolution fitting > 98.4%).",
keywords = "4DCT, Hidden point removal, Partial object, Registration, Spin image, Wrist",
author = "Ryan Breighner and Holmes, {David R.} and Shuai Leng and An, {Kai Nan} and Cynthia McCollough and Kristin Zhao",
year = "2013",
doi = "10.1117/12.2008685",
language = "English (US)",
isbn = "9780819494450",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Medical Imaging 2013",
note = "Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling ; Conference date: 12-02-2013 Through 14-02-2013",
}