Estimation of Brain Deformation for Volumetric Image Updating in Protoporphyrin IX Fluorescence-Guided Resection | Zendy

Pablo A. Valdés | Zendy; Xiaoyao Fan | Zendy; Songbai Ji | Zendy; Brent T. Harris | Zendy; Keith D. Paulsen | Zendy; David W. Roberts | Zendy

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Estimation of Brain Deformation for Volumetric Image Updating in Protoporphyrin IX Fluorescence-Guided Resection

Author(s) -

Pablo A. Valdés,

Xiaoyao Fan,

Songbai Ji,

Brent T. Harris,

Keith D. Paulsen,

David W. Roberts

Publication year - 2009

Publication title -

stereotactic and functional neurosurgery

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.798

H-Index - 63

eISSN - 1423-0372

pISSN - 1011-6125

DOI - 10.1159/000258143

Subject(s) - protoporphyrin ix , false positive paradox , image guided surgery , artificial intelligence , computer science , intraoperative mri , radiology , brain tumor , biopsy , computer vision , medicine , pattern recognition (psychology) , pathology , magnetic resonance imaging , fluorescence , interventional magnetic resonance imaging , physics , quantum mechanics

Fluorescence-guided resection (FGR) of brain tumors is an intuitive, practical and emerging technology for visually delineating neoplastic tissue exposed intraoperatively. Image guidance is the standard technique for producing 3-dimensional spatially coregistered information for surgical decision making. Both technologies together are synergistic: the former detects surface fluorescence as a biomarker of the current surgical margin while the latter shows coregistered volumetric neuroanatomy but can be degraded by intraoperative brain shift. We present the implementation of deformation modeling for brain shift compensation in protoporphyrin IX FGR, integrating these two sources of information for maximum surgical benefit.

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