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17 October 2022 2D-3D motion registration of rigid objects within a soft tissue structure
Nargiza Djurabekova, Andrew Goldberg, David Hawkes, Guy Long, Felix Lucka, Marta M. Betcke
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Proceedings Volume 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography; 123042C (2022) https://doi.org/10.1117/12.2647250
Event: Seventh International Conference on Image Formation in X-Ray Computed Tomography (ICIFXCT 2022), 2022, Baltimore, United States
Abstract
The study of rigid body dynamics in soft tissue is an essential part of orthopaedic imaging. Our focus is the foot and ankle structure, which consists of 28 bones surrounded by a variety of soft tissue such as 30 muscles, numerous ligaments, bursae and nerves. The importance of understanding the involved dynamics is evident by the frequent need to find functional joint replacements to fight diseases such as hindfoot arthritis. We study a simplified problem by constructing a phantom with two ”bones” submerged in silicone and a remotely controlled LEGO robot that moves one of the two bones. We perform motion registration by manipulating the bone segmented from an initial static scan and matching its digitally reconstructed radiographs to a sequence of scanned X-ray projections. The registration of the 3D volume to 2D projections requires the right combination of optimization and interpolation to achieve an optimal result. We test four different approaches with the help of the Flexible Algorithms for Image Registration (FAIR) toolbox.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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Nargiza Djurabekova, Andrew Goldberg, David Hawkes, Guy Long, Felix Lucka, and Marta M. Betcke "2D-3D motion registration of rigid objects within a soft tissue structure", Proc. SPIE 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography, 123042C (17 October 2022); https://doi.org/10.1117/12.2647250
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KEYWORDS
Bone
Image registration
X-rays
Tissues
Image segmentation
Data acquisition
Silicon
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