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Co-registration of function and anatomy in frameless stereotaxy by contour fitting.

机译:通过轮廓拟合在无框立体定位中对功能和解剖结构进行共配准。

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摘要

We investigated a co-registration algorithm using a contour-fitting procedure to integrate functional data from magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI) for frameless stereotaxy. In fMRI the shape of the head was reconstructed from anatomical images, in MEG it was scanned using an electromagnetic sensor position indicator. Functional information was transferred to the 3D-MR image set used for frameless stereotaxy by fitting the digitized (MEG) and reconstructed head shape (fMRI) to the 3D-MR images. The mean residual error of the contour fit was 2.3 mm for the MEG and 1.3 mm for the fMRI registration. According to computer simulations, the achievable transformation error is 0.75 and 0.5 mm, respectively. This method enables independent recording of functional and anatomical measurements with a co-registration accuracy better than 2 mm.
机译:我们研究了使用轮廓拟合程序将磁脑电图(MEG)和功能磁共振成像(fMRI)的功能数据进行整合的无框立体定位的共配准算法。在fMRI中,根据解剖图像重建头部形状,在MEG中,使用电磁传感器位置指示器对其进行扫描。通过将数字化(MEG)和重建的头部形状(fMRI)拟合到3D-MR图像,将功能信息转移到用于无框立体定位的3D-MR图像集。 MEG轮廓拟合的平均残留误差为2.3 mm,fMRI配准的平均残余误差为1.3 mm。根据计算机模拟,可实现的转换误差分别为0.75和0.5 mm。这种方法可以独立记录功能和解剖学测量结果,共配准精度优于2 mm。

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