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使用手动阈值法对灰质和白质进行磁共振容积分割:对图像亮度的依赖性。

MR volume segmentation of gray matter and white matter using manual thresholding: dependence on image brightness.

作者信息

Harris G J, Barta P E, Peng L W, Lee S, Brettschneider P D, Shah A, Henderer J D, Schlaepfer T E, Pearlson G D

机构信息

Department of Psychiatry and Behavioral Sciences, Johns Hopkins Medical Institutions, Baltimore, Md.

出版信息

AJNR Am J Neuroradiol. 1994 Feb;15(2):225-30.

Abstract

PURPOSE

To describe a quantitative MR imaging segmentation method for determination of the volume of cerebrospinal fluid, gray matter, and white matter in living human brain, and to determine the method's reliability.

METHODS

We developed a computer method that allows rapid, user-friendly determination of cerebrospinal fluid, gray matter, and white matter volumes in a reliable manner, both globally and regionally. This method was applied to a large control population (N = 57).

RESULTS

Initially, image brightness had a strong correlation with the gray-white ratio (r = .78). Bright images tended to overestimate, dim images to underestimate gray matter volumes. This artifact was corrected for by offsetting each image to an approximately equal brightness. After brightness correction, gray-white ratio was correlated with age (r = -.35). The age-dependent gray-white ratio was similar to that for the same age range in a prior neuropathology report. Interrater reliability was high (.93 intraclass correlation coefficient).

CONCLUSIONS

The method described here for gray matter, white matter, and cerebrospinal fluid volume calculation is reliable and valid. A correction method for an artifact related to image brightness was developed.

摘要

目的

描述一种用于确定活体人脑脑脊液、灰质和白质体积的定量磁共振成像分割方法,并确定该方法的可靠性。

方法

我们开发了一种计算机方法,该方法能够以可靠的方式快速且用户友好地全局和局部确定脑脊液、灰质和白质的体积。此方法应用于大量对照人群(N = 57)。

结果

最初,图像亮度与灰白比有很强的相关性(r = 0.78)。明亮的图像往往高估灰质体积,暗淡的图像往往低估灰质体积。通过将每个图像的亮度偏移到大致相等来校正此伪影。亮度校正后,灰白比与年龄相关(r = -0.35)。年龄依赖性灰白比与先前神经病理学报告中相同年龄范围的情况相似。评分者间信度很高(组内相关系数为0.93)。

结论

本文所述的灰质、白质和脑脊液体积计算方法是可靠且有效的。开发了一种针对与图像亮度相关的伪影的校正方法。

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