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Registration of 3D intraoperative MR images of the brain using a finite element biomechanical model

机译:使用有限元生物力学模型登记脑的3D术中MR图像

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We present a new algorithm for the non-rigid registration of 3D Magnetic Resonance (MR) intraoperative image sequences showing brain shift. The algorithm tracks key surfaces (cortical surface and the lateral ventricles) in the image sequence using an active surface algorithm. The volumetric deformation field of the objects the surfaces are embedded in is then inferred from the displacements at the boundary surfaces using a biomechanical finite element model of these objects. The biomechanical model allows us to analyse characteristics of the deformed tissues, such as stress measures. Initial experiments on an intraoperative sequence of brain shift show a good correlation of the internal brain structures after deformation using our algorithm, and a good capability of measuring surface as well as subsurface shift. We measured distances between landmarks in the deformed initial image and the corresponding landmarks in the target scan. The surface shift was recovered from up to 1cm down to less than 1mm, and subsurface shift from up to 6mm down to 3mm or less.
机译:我们为显示脑移位的3D磁共振(MR)术中图像序列的非刚性登记算法。该算法使用有源表面算法在图像序列中跟踪键表面(皮质表面和横向心室)。然后,使用这些物体的生物力学有限元模型从边界表面的位移中推断出表面嵌入的物体的体积变形场。生物力学模型使我们能够分析变形组织的特性,例如压力测量。初步脑移序的初始实验表明,使用我们的算法变形后的内部脑结构的良好相关性,以及测量表面的良好能力以及地下移位。我们测量了变形初始图像中的地标之间的距离和目标扫描中的相应地标。将表面偏移从高达1cm降至小于1mm,并且从高达6mm下降至3mm或更小的地下偏移。

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