Biomechanically Constrained Groupwise US to CT Registration of the Lumbar Spine

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Proceedings titleMedical Image Computing and Computer-Assisted Intervention - MICCAI 2009 Proceedings, Part I
Series titleLecture Notes in Computer Science; Volume 5761
ConferenceThe 12th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), London, UK, September 20-24, 2009
Pages803810; # of pages: 8
SubjectInformation and Communications Technologies
AbstractRegistration of intraoperative ultrasound (US) with preoperative computed tomography (CT) data for interventional guidance is a subject of immense interest, particularly for percutaneous spinal injections. We propose a biomechanically constrained group-wise registration of US to CT images of the lumbar spine. Each vertebra in CT is treated as a sub-volume and transformed individually. The sub-volumes are then reconstructed into a single volume. The algorithm simulates an US image from the CT data at each iteration of the registration. This simulated US image is used to calculate an intensity based similarity metric with the real US image. A biomechanical model is used to constrain the displacement of the vertebrae relative to one another. Covariance Matrix Adaption - Evolution Strategy (CMA-ES) is utilized as the optimization strategy. Validation is performed on CT and US images from a phantom designed to preserve realistic curvatures of the spine. The technique is able to register initial misalignments of up to 20mm with a success rate of 82%, and those of up to 10mm with a success rate of 98.6%.
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AffiliationNational Research Council Canada (NRC-CNRC); NRC Institute for Information Technology
Peer reviewedYes
NPARC number15336802
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Record identifier2b359fe4-f1d1-48e4-9e6e-5d903c292670
Record created2010-06-10
Record modified2016-05-09
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