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    • 8. 发明授权
    • Method and apparatus for semi-automatic segmentation technique for low-contrast tubular shaped objects
    • 用于低对比度管状物体的半自动分割技术的方法和装置
    • US07565000B2
    • 2009-07-21
    • US11286550
    • 2005-11-23
    • Renaud CapolunghiLaurent LaunayJerome KnopliochPál Csongor Sprencz
    • Renaud CapolunghiLaurent LaunayJerome KnopliochPál Csongor Sprencz
    • G06K9/00G06K9/34
    • G06T7/12G06T2207/10072G06T2207/20096G06T2207/30101
    • A system and method for segmenting and editing anatomical objects from medical images is disclosed. The system may be a medical diagnostic imaging system. A computer unit may execute computer software for segmenting anatomical objects from medical images. The computer software may extract an anatomical object from planar curves. The computer software may extract an anatomical object by computing the centerline of the anatomical object. A set of reformatted images may then be derived based on the centerline of the object. A user may then provide input in the form of user drawn contours on a plurality of reformatted images. In an embodiment the reformatted images may include a reformatted longitudinal view, a curved reformatted view, or a lumen view. The user drawn contours may correspond to the boundaries of the anatomical object to be segmented. The anatomical object may then be extracted based on the user drawn contours.
    • 公开了一种用于从医学图像分割和编辑解剖学对象的系统和方法。 该系统可以是医学诊断成像系统。 计算机单元可以执行用于从医学图像分割解剖对象的计算机软件。 计算机软件可以从平面曲线提取解剖学对象。 计算机软件可以通过计算解剖对象的中心线来提取解剖学对象。 然后可以基于对象的中心线导出一组重新格式化的图像。 然后,用户可以在多个重新格式化的图像上以用户绘制的轮廓的形式提供输入。 在一个实施例中,重新格式化的图像可以包括重新格式化的纵向视图,曲线重新格式化视图或管腔视图。 用户绘制的轮廓可以对应于待分割的解剖学对象的边界。 然后可以基于用户绘制的轮廓来提取解剖对象。
    • 9. 发明申请
    • Iterative vascular identification
    • 迭代血管鉴定
    • US20070118024A1
    • 2007-05-24
    • US11301950
    • 2005-12-13
    • Renaud CapolunghiLaurent LaunayLaurent StefaniRuben Laramontalvo
    • Renaud CapolunghiLaurent LaunayLaurent StefaniRuben Laramontalvo
    • G06F19/00
    • G06T7/0012G06T7/11G06T2207/10081G06T2207/20156G06T2207/30101
    • Certain embodiments of the present invention provide a method for identifying vascular structure in an image including: receiving at least one image including a vascular network; identifying at least one seed point corresponding to the vascular network; identifying automatically at least a portion of the vascular network to form an original vascular identification based at least in part on the at least one seed point; and allowing a dynamic user interaction with the vascular identification to form an iterative vascular identification. In an embodiment, the iterative vascular identification is formable in real-time. In an embodiment, the iterative vascular identification is displayable in real-time. In an embodiment, the iterative vascular identification is formable without re-identifying substantially unaltered portions of the vascular identification.
    • 本发明的某些实施例提供一种用于识别图像中的血管结构的方法,包括:接收包括血管网络的至少一个图像; 识别对应于血管网络的至少一个种子点; 至少部分地基于至少一个种子点自动识别血管网络的至少一部分以形成原始血管识别; 并允许与血管识别的动态用户交互以形成迭代血管鉴定。 在一个实施例中,迭代血管识别是可实时形成的。 在一个实施例中,迭代血管识别可以实时显示。 在一个实施方案中,迭代血管鉴定是可形成的,而不重新鉴定血管鉴定的基本上未改变的部分。