Volumetric Image Registration Techniques for Rigid and Nonrigid Models in Image-Guided Interventions

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Image registration is crucial for achieving submillimeter targeting accuracy in image-guided neurointerventions.
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Rigid registration aligns images of rigid anatomy, while nonrigid registration accommodates local deformations during neurosurgical procedures.
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Computational demands of image registration can disrupt surgical workflows, especially in time-sensitive intraoperative settings.
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The proposed framework integrates shape-constrained segmentation with point-based rigid and B-spline nonrigid registration for improved accuracy.
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Validation of the registration framework utilizes synthetic datasets to quantitatively assess deformation accuracy against established methods.

Int. Journal Of Computer Assisted Radiology And Surgery (Springer)

by Lyubomir Zagorchev, Fabian Wenzel, André Gooßen, Nick Fläschner, Chen Li, Damon E. Hyde, Andreas Cerny, Philip Hotte, Tim Orr, Brady Culbreth, Paul Larson
April 28, 2026

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