首页> 外文会议>Conference on Visualization, Image-Guided Procedures, and Display: Medical Imaging 2004; 20040215-20040217; San Diego,CA; US >Registration, segmentation and visualization of confocal microscopy images of arterial thrombus
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Registration, segmentation and visualization of confocal microscopy images of arterial thrombus

机译:动脉血栓共聚焦显微镜图像的配准,分割和可视化

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Arterial thrombosis causes death or paralysis of an organ, as it migrates to and localizes in different parts of the body. Massive pulmonary emboli cause 50,000 deaths per year. The cause and origin of arterial thrombosis is not well understood nor objectively characterized. The object of this study was to investigate the microscopic structure of arterial thrombus to better understand this pathology. Confocal microscopy cross-sectional images of an embolized thrombus in the coronary artery were obtained. Adjacent pairs of sections were stained with two different stains, fibrin and CD61, to reveal mutually complementary information. The very thin adjacent slices were treated as one slice. Adjacent slices were registered by a combination of manual and automatic techniques using the Analyze software developed in the Biomedical Imaging Resource at Mayo. After smoothing the images with a median filter, the CD61 and fibrin stained section images were used to segment the tissues by multispectral classification. The image volume was classified into background, platelets and surrounding tissue, and thrombus. The segmented volume was then rendered for visualization and analysis of the structure of the thrombus in three dimensions. Preliminary results are promising. Such correlation of structural and histological information may be helpful in determining the origin of the thrombus.
机译:动脉血栓形成迁移并定位在身体的不同部位时,会导致器官死亡或瘫痪。大量肺栓塞每年导致50,000例死亡。动脉血栓形成的原因和起源尚未得到很好的理解,也没有客观地表征。这项研究的目的是调查动脉血栓的微观结构,以更好地了解这种病理。获得了在冠状动脉中的栓塞血栓的共聚焦显微镜截面图。相邻的切片对分别用两种不同的纤维蛋白和CD61染色,以显示相互补充的信息。将非常薄的相邻切片视为一个切片。使用Mayo生物医学成像资源中开发的Analyze软件,通过手动和自动技术的组合来记录相邻切片。用中值滤镜平滑图像后,将CD61和纤维蛋白染色的切片图像用于通过多光谱分类对组织进行分割。图像量分为背景,血小板和周围组织以及血栓。然后绘制分割的体积,以便在三个维度上可视化和分析血栓的结构。初步结果令人鼓舞。结构和组织学信息的这种相关性可能有助于确定血栓的起源。

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