Development of a semi-automated method for quantification of MRI gray and white matter lesions in geriatric subjects
Development of a semi-automated method for quantification of MRI gray and white matter lesions in geriatric subjects
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DOI：
10.1016/s0925-4927(02)00009-4
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发表时间：
2002-08-20
影响因子：
2.3
通讯作者：
Krishnan, KRR
中科院分区：
文献类型：
--
作者：
Payne, ME;Fetzer, DL;Krishnan, KRR
脑磁共振成像（MRI）允许定量评估高信号灶，这是看到与衰老和各种疾病。这些病灶被认为是病变的代表，在包括抑郁症在内的各种精神疾病的研究中非常重要。很少有定量的措施已经制定了这样的研究。本研究的目的是开发一种可靠和有效的方法来量化老年人MRI扫描中灰质和白色病变的体积。通过16次扫描的重复病变测量确定评估者间可靠性。进行半自动分割以识别潜在病变，然后根据详细的解剖学标准手动选择病变。每次扫描的病变量化程序需要25至45分钟。灰色和白色病变的可靠性组内相关系数（ICC）均为0.99。发现容积结果与先前的病变评级中度相关（r值在0.37和0.62之间，P
Brain magnetic resonance imaging (MRI) allows for quantitative assessment of hyperintense foci, which are seen with aging and various diseases. These foci, considered to represent lesions, are important in the study of various psychiatric illnesses, including depression. Few quantitative measures have been developed for such research. The goal of the current study was to develop a reliable and efficient method for quantifying the volumes of gray and white matter lesions in MRI scans of the elderly. Interrater reliability was determined by repeat lesion measures on 16 scans. Semi-automated segmentation was performed that identified potential lesions, and then lesions were manually selected based upon detailed anatomic criteria. The lesion quantification procedure took between 25 and 45 min per scan. Reliability intraclass correlation coefficients (ICCs) were 0.99 for both gray and white matter lesions. Volumetric results were found to be moderately correlated with previous lesion ratings (r-values between 0.37 and 0.62, P