Intraoperatively updated neuroimaging using brain modeling and sparse data.
Intraoperatively updated neuroimaging using brain modeling and sparse data.
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DOI：
10.1097/00006123-199911000-00037
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发表时间：
1999-11
期刊：
影响因子：
4.8
通讯作者：
D. Roberts;M. Miga;A. Hartov;S. Eisner;J. Lemery;F. Kennedy;K. Paulsen
中科院分区：
文献类型：
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作者：
D. Roberts;M. Miga;A. Hartov;S. Eisner;J. Lemery;F. Kennedy;K. Paulsen
目的结合术前获得的成像信息的图像引导神经外科手术会受到术中大脑位移和变形引起的空间误差的影响。已经制定并实施了一项使用现成的术中信息更新术前成像的策略。方法术前磁共振成像用于生成患者特定的脑三维有限元模型，通过该模型可以模拟多个手术过程导致的变形。随后获得的稀疏成像数据（例如来自数码相机或超声波）然后用于规定模型内选定点的位移。基于该模型，然后可以执行对术前成像的分辨率的插值。结果利用猪脑模型成功地验证了有限元模型生成及其后续变形的算法。在这些实验中，该方法恢复了84%的手术诱导组织运动导致的术中移位。在手术室的初步临床应用证明了可行性。结论：一种可以解释术中脑变形的策略已经被开发出来，在动物模型中得到验证，并在临床上得到证实。
OBJECTIVE Image-guided neurosurgery incorporating preoperatively obtained imaging information is subject to spatial error resulting from intraoperative brain displacement and deformation. A strategy to update preoperative imaging using readily available intraoperative information has been developed and implemented. METHODS Preoperative magnetic resonance imaging is used to generate a patient-specific three-dimensional finite element model of the brain by which deformation resulting from multiple surgical processes may be simulated. Sparse imaging data obtained subsequently, such as from digital cameras or ultrasound, are then used to prescribe the displacement of selected points within the model. Based on the model, interpolation to the resolution of preoperative imaging may then be performed. RESULTS The algorithms for generation of the finite element model and for its subsequent deformation were successfully validated using a pig brain model. In these experiments, the method recovered 84% of the intraoperative shift resulting from surgically induced tissue motion. Preliminary clinical application in the operating room has demonstrated feasibility. CONCLUSION A strategy by which intraoperative brain deformation may be accounted for has been developed, validated in an animal model, and demonstrated clinically.