Abstract
This paper reports on a new computational methodology, inter-slice correspondence (ISC), for robustly aligning sets of 2D ultrasound (US) slices during image-guided medical procedures. Correspondences are derived from distinctive, local scale-invariant features, which are used in one-to-many matching of US slices in near real-time despite out-of-plane rotation, in addition to global in-plane similarity transforms, occlusion, missing tissue, US plane mirroring, changes in US probe depth settings. Experiments demonstrate that ISC can align manually-acquired US slices without probe tracking information in the context of image-guided neurosurgery, with an accuracy of 1.3 mm. A novel reconstruction-without-calibration application based on ISC is proposed, where 3D US reconstruction results are very similar to those obtained via traditional phantom-based calibration.
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Acknowledgements
This work was supported by NIH grants R01CA138419 and P41EB015898 and P41EB015902.
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Toews, M., Golby, A.J., Wells, W.M. (2014). Inter-slice Correspondence for 2D Ultrasound-Guided Procedures. In: Erdt, M., et al. Clinical Image-Based Procedures. Translational Research in Medical Imaging. CLIP 2013. Lecture Notes in Computer Science(), vol 8361. Springer, Cham. https://doi.org/10.1007/978-3-319-05666-1_18
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DOI: https://doi.org/10.1007/978-3-319-05666-1_18
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