Model-driven brain shift compensation

被引：126

作者：

Skrinjar, O ^{[1
]}

Nabavi, A

Duncan, J

机构：

[1] Yale Univ, Dept Elect Engn, New Haven, CT 06520 USA

[2] Harvard Univ, Brigham & Womens Hosp, Surg Planning Lab, Boston, MA 02115 USA

[3] Yale Univ, Dept Diagnost Radiol, New Haven, CT 06510 USA

来源：

MEDICAL IMAGE ANALYSIS | 2002年 / 6卷 / 04期

关键词：

brain shift modeling; soft tissue deformation; spring-mass model; continuum mechanics model;

D O I：

10.1016/S1361-8415(02)00062-2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Surgical navigation systems provide the surgeon with a display of preoperative and intraoperative data in the same coordinate system. However, the systems currently in use in neurosurgery are subject to inaccuracy caused by intraoperative brain deformation (brain shift), since they typically assume that the intracranial structures are rigid. Experiments show brain shift of up to I cm, making it the dominant error in the system. We propose a biomechanical-model-based approach for brain shift compensation. Two models are presented: a damped spring-mass model and a model based on continuum mechanics. Both models are guided by limited intraoperative (exposed brain) surface data, with the aim to recover the deformation in the full volume. The two models are compared and their advantages and disadvantages discussed. A partial validation using intraoperative MR image sequences indicates that the approach reduces the error caused by brain shift. (C) 2002 Elsevier Science B.V. All rights reserved.

引用

页码：361 / 373

页数：13

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