A Sparse Intraoperative Data-Driven Biomechanical Model to Compensate for Brain Shift during Neuronavigation

• Published in: American journal of neuroradiology : AJNR Vol. 32; no. 2; pp. 395 - 402
• Main Authors: ZHUANG, D.-X, LIU, Y.-X, WU, J.-S, YAO, C.-J, MAO, Y, ZHANG, C.-X, WANG, M.-N, WANG, W, ZHOU, L.-F
• Format: Journal Article
• Language: English
• Published: Oak Brook, IL American Society of Neuroradiology 01.02.2011
• Subjects: Adolescent; Adult; Aged; Algorithms; Biological and medical sciences; Biomechanical Phenomena; Brain; Brain - physiology; Brain - surgery; Child; Craniotomy; Elasticity; Electrodiagnosis. Electric activity recording; Female; Humans; Intraoperative Period; Investigative techniques, diagnostic techniques (general aspects); Male; Medical sciences; Middle Aged; Models, Biological; Nervous system; Neuronavigation; Radiodiagnosis. Nmr imagery. Nmr spectrometry; Young Adult; Intraoperative; Nervous system diseases; Models; Radiodiagnosis; Central nervous system; Encephalon

Intraoperative brain deformation is an important factor compromising the accuracy of image-guided neurosurgery. The purpose of this study was to elucidate the role of a model-updated image in the compensation of intraoperative brain shift. An FE linear elastic model was built and evaluated in 11 pat...