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首页> 外文会议>Image Processing pt.3; Progress in Biomedical Optics and Imaging; vol.8,no.31; Proceedings of SPIE-The International Society for Optical Engineering; vol.6512 pt.3 >Automatic corpus callosum segmentation for standardized MR brain scanning
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Automatic corpus callosum segmentation for standardized MR brain scanning

机译：自动体分割，用于标准化MR脑扫描

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摘要

Magnetic Resonance (MR) brain scanning is often planned manually with the goal of aligning the imaging plane with key anatomic landmarks. The planning is time-consuming and subject to inter- and intra- operator variability. An automatic and standardized planning of brain scans is highly useful for clinical applications, and for maximum utility should work on patients of all ages. In this study, we propose a method for fully automatic planning that utilizes the landmarks from two orthogonal images to define the geometry of the third scanning plane. The corpus callosum (CC) is segmented in sagittal images by an active shape model (ASM), and the result is further improved by weighting the boundary movement with confidence scores and incorporating region based refinement. Based on the extracted contour of the CC, several important landmarks are located and then combined with landmarks from the coronal or transverse plane to define the geometry of the third plane. Our automatic method is tested on 54 MR images from 24 patients and 3 healthy volunteers, with ages ranging from 4 months to 70 years old. The average accuracy with respect to two manually labeled points on the CC is 3.54 mm and 4.19 mm, and differed by an average of 2.48 degrees from the orientation of the line connecting them, demonstrating that our method is sufficiently accurate for clinical use.
机译：磁共振（MR）脑部扫描通常是手动计划的，目的是使成像平面与关键的解剖界标对齐。该计划是耗时的，并且取决于操作员之间和操作员内部的可变性。自动和标准化的脑部扫描计划对于临床应用非常有用，并且对于所有年龄段的患者都应发挥最大的效用。在这项研究中，我们提出了一种全自动计划的方法，该方法利用来自两个正交图像的界标来定义第三扫描平面的几何形状。通过活动形状模型（ASM）在矢状图像中分割call体（CC），并通过对边界运动加权置信度得分并结合基于区域的细化，进一步改善结果。基于提取的CC轮廓，找到几个重要的地标，然后与来自冠状或横向平面的地标组合以定义第三平面的几何形状。我们的自动方法在来自24位患者和3位健康志愿者的54张MR图像上进行了测试，年龄从4个月到70岁不等。 CC上两个手动标​​记点的平均精度为3.54 mm和4.19 mm，与连接它们的直线的方向平均相差2.48度，这表明我们的方法对于临床使用是足够准确的。

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