Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235, USA.
IEEE Trans Biomed Eng. 2010 Jun;57(6):1285-96. doi: 10.1109/TBME.2009.2039643. Epub 2010 Feb 17.
In this paper, an efficient paradigm is presented to correct for brain shift during tumor resection therapies. For this study, high resolution preoperative (pre-op) and postoperative (post-op) MR images were acquired for eight in vivo patients, and surface/subsurface shift was identified by manual identification of homologous points between the pre-op and immediate post-op tomograms. Cortical surface deformation data were then used to drive an inverse problem framework. The manually identified subsurface deformations served as a comparison toward validation. The proposed framework recaptured 85% of the mean subsurface shift. This translated to a subsurface shift error of 0.4 +/- 0.4 mm for a measured shift of 3.1 +/- 0.6 mm. The patient's pre-op tomograms were also deformed volumetrically using displacements predicted by the model. Results presented allow a preliminary evaluation of correction both quantitatively and visually. While intraoperative (intra-op) MR imaging data would be optimal, the extent of shift measured from pre- to post-op MR was comparable to clinical conditions. This study demonstrates the accuracy of the proposed framework in predicting full-volume displacements from sparse shift measurements. It also shows that the proposed framework can be extended and used to update pre-op images on a time scale that is compatible with surgery.
本文提出了一种有效的范式，用于纠正肿瘤切除治疗过程中的大脑移位。在这项研究中，对 8 名体内患者进行了高分辨率术前（术前）和术后（术后）磁共振成像采集，并通过手动识别术前和即时术后断层图像之间的同源点来识别表面/皮下移位。然后使用皮质表面变形数据来驱动逆问题框架。手动识别的皮下变形作为验证的比较。所提出的框架捕获了平均皮下移位的 85%。对于测量的 3.1 ± 0.6mm 移位，这相当于皮下移位误差为 0.4 ± 0.4mm。还使用模型预测的位移对患者的术前断层图像进行了体积变形。呈现的结果允许对校正进行定量和定性的初步评估。尽管术中（术中）磁共振成像数据是最佳的，但从术前到术后磁共振测量的移位程度与临床情况相当。这项研究证明了所提出的框架在预测稀疏移位测量的全容积位移方面的准确性。它还表明，所提出的框架可以扩展并用于在与手术兼容的时间尺度上更新术前图像。
