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Automatic segmentation of cerebral hemispheres in MR human head scans

机译:MR人体头部扫描中脑半球的自动分割

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Automatic segmentation of cerebral hemispheres in magnetic resonance (MR) brain images help to quantify the brain asymmetry and correct several MR brain deformities. The detection of mid-sagittal plane (MSP) in human brain image is necessary to segment the hemispheres for both operator-based and automated brain image asymmetric analysis. In this article, a computationally simple and accurate technique to detect MSP in MRI human head scans using curve fitting is developed. The left and right hemispheres are segmented based on the detected MSP. The accuracy of the MSP is evaluated by comparing the segmented left and right hemispheres against the manually segmented ones. Experimental results using 78 volumes of T1, T2 and PD-weighted MRI brain images show that the proposed method has accurately segmented the cerebral hemispheres based on the detected MSP in axial and coronal orientations of normal and pathological brain images.
机译:磁共振(MR)脑图像中脑半球的自动分割有助于量化大脑的不对称性并纠正几种MR脑畸形。检测人脑图像中的矢状面(MSP)对于分割半球是必要的,以便进行基于操作员的和自动的脑图像不对称分析。在本文中,开发了一种计算简单,准确的技术,可以使用曲线拟合来检测MRI人体头部扫描中的MSP。左半球和右半球根据检测到的MSP进行分割。通过将分割后的左半球和右半球与手动分割的半球进行比较,可以评估MSP的准确性。使用78份T1,T2和PD加权MRI大脑图像进行的实验结果表明,该方法基于检测到的正常和病理性大脑图像的轴向和冠状MSP准确分割了脑半球。

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