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Method for segmentation and volume calculation of white matter, gray matter, and cerebral spinal fluid using magnetic resonance images of the human brain

机译:利用人脑磁共振图像对白质,灰质和脑脊髓液进行分割和体积计算的方法

摘要

A fully-automated method for segmentation of white matter, gray matter, and cerebral spinal fluid (CSF) and for calculating their respective volumes is disclosed. The technique preferably uses a T2-weighted scan and a proton-density scan. The T2-weighted scans are used to highlight those portion of the brain corresponding to CSF. Thereafter, the proton density images are separated in CSF-containing and CSF-free portions, in accordance with the T2-weighted images. The CSF-free portion is then segmented into white matter and gray matter portions. The CSF-containing portion is further segmented into pure CSF-regions, and regions containing a mixture of gray and white matter and CSF. After CSF is segmented from this mixture, the white and gray matter and again segmented, and the respective volumes of white matter, gray matter, and CSF are calculated. A technique for determining a threshold gray scale value for segmenting the white and gray matter to assist in the visual identification of such regions is also disclosed.
机译:公开了一种用于分割白质,灰质和脑脊髓液(CSF)并计算它们各自体积的全自动方法。该技术优选地使用T2加权扫描和质子密度扫描。 T2加权扫描用于突出显示与CSF相对应的大脑部分。此后,根据T2加权图像,将质子密度图像分为含有CSF的部分和不含CSF的部分。然后将不含CSF的部分分为白质和灰质部分。含有CSF的部分被进一步分成纯的CSF区域,以及包含灰白物质和CSF的混合物的区域。从该混合物中分割出脑脊液后,再将白和灰质进行分割,然后计算出白质,灰质和脑脊液的各自体积。还公开了一种用于确定阈值灰度值的技术,该阈值灰度值用于对白和灰质进行分割以帮助视觉识别此类区域。

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