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Mutual‐information‐based image to patient re‐registration using intraoperative ultrasound in image‐guided neurosurgery
Author(s) -
Ji Songbai,
Wu Ziji,
Hartov Alex,
Roberts David W.,
Paulsen Keith D.
Publication year - 2008
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.2977728
Subject(s) - fiducial marker , mutual information , image registration , neuronavigation , intraoperative mri , image guided surgery , magnetic resonance imaging , computer vision , medicine , artificial intelligence , medical imaging , ultrasound , neurosurgery , displacement (psychology) , computer science , radiology , interventional magnetic resonance imaging , image (mathematics) , psychology , psychotherapist
An image‐based re‐registration scheme has been developed and evaluated that uses fiducial registration as a starting point to maximize the normalized mutual information (nMI) between intraoperative ultrasound (iUS) and preoperative magnetic resonance images (pMR). We show that this scheme significantly ( p ⪡ 0.001 ) reduces tumor boundary misalignment between iUS pre‐durotomy and pMR from an average of 2.5 mm to 1.0 mm in six resection surgeries. The corrected tumor alignment before dural opening provides a more accurate reference for assessing subsequent intraoperative tumor displacement, which is important for brain shift compensation as surgery progresses. In addition, we report the translational and rotational capture ranges necessary for successful convergence of the nMI registration technique ( 5.9 mm and 5.2 deg , respectively). The proposed scheme is automatic, sufficiently robust, and computationally efficient ( < 2 min ) , and holds promise for routine clinical use in the operating room during image‐guided neurosurgical procedures.