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    • 9. 发明授权
    • Vascular imaging with adaptive averaging
    • 血管成像与自适应平均
    • US6088488A
    • 2000-07-11
    • US62417
    • 1998-04-17
    • Christopher Judson HardyRupert William Meldrum Curwen
    • Christopher Judson HardyRupert William Meldrum Curwen
    • A61B5/055G01R33/54G06T1/00G06T5/50G06T7/40G06T13/00G06K9/00G06K9/36G06K9/64
    • G06T5/50A61B6/464
    • A reference image R is selected and a region of interest (ROI) is interactively selected encompassing a desired structure from a sequence of images of a moving structure. This ROI is cross-correlated with other real-time images by multiplication in the Fourier frequency domain, to determine if the desired structure is present in the image. If the structure is present, this image may be averaged with other images in which the structure is present to produce higher resolution adaptively averaged images. This invention is particularly useful in imaging coronary vessels. In an alternative embodiment, the offset of the desired structure may be calculated in a series of images. The images may then be sorted by this offset, and played back in that order to provide a "movie-like" display of the desired structure moving with the periodic motion.
    • 选择参考图像R,并且从移动结构的图像序列中交互地选择包含期望结构的感兴趣区域(ROI)。 该ROI与傅里叶频域中的乘法与其他实时图像交叉相关,以确定图像中是否存在期望的结构。 如果结构存在,则该图像可以与其中存在结构的其它图像进行平均以产生更高分辨率的自适应平均图像。 本发明在冠状动脉血管成像中特别有用。 在替代实施例中,可以在一系列图像中计算期望结构的偏移。 然后可以通过该偏移来对图像进行排序,并以该顺序回放以提供与周期性运动一起移动的期望结构的“电影样”显示。
    • 10. 发明授权
    • Fast segmentation of cardiac images
    • 快速分割心脏图像
    • US5903664A
    • 1999-05-11
    • US794981
    • 1997-02-05
    • Richard Ian HartleyRupert William Meldrum CurwenHarvey Ellis Cline
    • Richard Ian HartleyRupert William Meldrum CurwenHarvey Ellis Cline
    • A61B5/055G06T1/00G06T5/00G06K9/00
    • G06T7/0081G06T7/0012G06T2207/20012G06T2207/20101G06T2207/20104G06T2207/30048
    • A cardiac segmentation system acquires a series of images acquires as slices through a volume, and as images at different time periods throughout a cardiac cycle. It displays an image to an operator which interactively selects a region of interest (ROI) of the image to be segmented, such as the left ventricle. A seed point is also selected within the ROI and the structure desired to be segmented. The image is then thresholded by a masking device classifying points within the ROI as above the threshold, or not above the threshold. A 3D connectivity device identifies points within the ROI having the same classification as an expanded seed point which are also contiguous with the seed point as the segmented structure. The segmented structure is expanded and a histogram is constructed. A new threshold is selected which separates modes of the histogram, and used to carry out a revised, final, segmentation of the current image. The centroid of the current image is used as a seed point in segmenting adjacent images. Similarly, the current threshold is used as an initial threshold for adjacent images. The previous seed point and ROI may also be used. This is repeated for a number of images to result in segmented structures may then be stored, displayed and used in calculating heart functionality.
    • 心脏分割系统通过体积获取作为切片获取的一系列图像,并且获取整个心脏周期中不同时间段的图像。 它向操作者显示图像,其交互地选择要被分割的图像的感兴趣区域(ROI),例如左心室。 还在ROI内选择种子点,并且希望被分割的结构。 然后通过掩蔽装置对图像进行阈值化,将ROI内的点分类为阈值以上,或不高于阈值。 3D连接设备识别ROI内的点与扩展种子点相同的分类,其也与种子点相邻,作为分段结构。 分段结构展开并构建直方图。 选择一个新的阈值,其分离直方图的模式,并用于对当前图像执行经修改的最终分割。 当前图像的质心在分割相邻图像时用作种子点。 类似地,将当前阈值用作相邻图像的初始阈值。 也可以使用先前的种子点和ROI。 对于多个图像重复导致分段结构可以被存储,显示并用于计算心脏功能。