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脑磁共振成像中中央沟识别技术的发展

Development of identification of the central sulcus in brain magnetic resonance imaging.

作者信息

Hayashi Norio, Sakuta Keita, Minehiro Kaori, Takanaga Masako, Sanada Shigeru, Suzuki Masayuki, Miyati Tosiaki, Yamamoto Tomoyuki, Matsui Osamu

机构信息

Department of Radiological Technology, Kanazawa University Hospital, 13-1 Takaramachi, Kanazawa, 920-8641, Japan.

出版信息

Radiol Phys Technol. 2011 Jan;4(1):53-60. doi: 10.1007/s12194-010-0104-z. Epub 2010 Sep 29.

Abstract

Magnetic resonance imaging (MRI) is useful in the quantitative evaluation of brain atrophy, because the superior contrast resolution facilitates separation of the gray and white matter. Quantitative assessment of brain atrophy has mainly been performed by manual measurement, which requires considerable time and effort to determine the brain volume. Therefore, computer-aided quantitative measurement methods for the diagnosis of brain atrophy are required. We have developed a method of segmenting the cerebrum, cerebellum-brainstem, and temporal lobe simultaneously on MR images obtained in a single sequence. It is important to measure the volume of not only these regions but also the frontal lobe in clinical use. However, for segmenting the frontal lobe, it is necessary to identify the Sylvian fissure and the central sulcus, which represent boundaries. Here, we developed a method of identifying the central sulcus from MR images obtained with a 1.5 T MRI scanner. The brain and the cerebrospinal fluid (CSF) regions were segmented using semiautomated segmentation method on MR images. The central sulcus shows an oblique line from the inside to the outside on the convexity view. The almost straight appearance of the central sulcus was used for segmentation of the central sulcus from the segmented CSF images. The central sulcus was identified with this technique in 77% of the images obtained by all sequences. This technique for identifying the central sulcus is very important not only for volumetry, but also for clinical diagnosis.

摘要

磁共振成像(MRI)在脑萎缩的定量评估中很有用,因为其卓越的对比度分辨率有助于区分灰质和白质。脑萎缩的定量评估主要通过手动测量进行,这需要花费大量时间和精力来确定脑容量。因此,需要用于诊断脑萎缩的计算机辅助定量测量方法。我们开发了一种在单序列获得的MR图像上同时分割大脑、小脑 - 脑干和颞叶的方法。在临床应用中,不仅测量这些区域的体积,而且测量额叶的体积也很重要。然而,对于分割额叶,有必要识别作为边界的外侧裂和中央沟。在此,我们开发了一种从使用1.5T MRI扫描仪获得的MR图像中识别中央沟的方法。在MR图像上使用半自动分割方法分割脑和脑脊液(CSF)区域。在凸面视图中,中央沟呈现从内到外的斜线。利用中央沟几乎呈直线的外观从分割后的CSF图像中分割出中央沟。通过该技术,在所有序列获得的图像中,77%的图像识别出了中央沟。这种识别中央沟的技术不仅对体积测量很重要,而且对临床诊断也非常重要。

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