Abstract
PURPOSE: Point-set registration for interventional tools requires well-defined points to be present on these tools. In this work, an algorithm is proposed which uses planes, lines, and points for registration when point-set registration is not feasible.METHODS: The proposed algorithm matches points, lines, and planes in each coordinate system, uses invariant features for initial registration, and optimizes the registration iteratively. For validation, simulated data with known ground-truth and real surgical tool registration data using point-set registration as ground-truth were created to evaluate the algorithm’s accuracy.RESULTS: The proposed algorithm is equally as accurate as point-set registration, and the difference between the registrations is less than the noise in the tracking system.CONCLUSION: The proposed algorithm is a viable alternative when point-set registration cannot be performed.
Original language | English (US) |
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Pages (from-to) | 118-127 |
Number of pages | 10 |
Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Volume | 8678 |
State | Published - 2014 |
Externally published | Yes |
Keywords
- Coordinate transformations
- Registration
- Surgical navigation
ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science