公开(公告)号：US20230046545A1

公开(公告)日：2023-02-16

申请号：US17861171

申请日：2022-07-09

申请人： Richard Van Hook ,  Russell Hardie

发明人： Richard Van Hook ,  Russell Hardie

IPC分类号： H04N5/232

摘要： A method for determining the likelihood that a pixel in a video image sequence represents true motion in the image. Light from a scene is captured to yield an original image having a sequence of frames. A prototype image is created from the original image as a geometrically accurate representation of the scene which is substantially free of contamination. A tilt variance-Gaussian mixture model and/or multi-variate Gaussian model, based upon optical turbulence statistics associated with the scene, is developed. Each pixel in the original image sequence of frames is evaluated against the prototype image using a probability density function, to yield a likelihood that the respective pixel represents true motion.

公开(公告)号：US20050111720A1

公开(公告)日：2005-05-26

申请号：US10993176

申请日：2004-11-19

申请人： Metin Gurcan ,  Russell Hardie ,  Steven Rogers

发明人： Metin Gurcan ,  Russell Hardie ,  Steven Rogers

IPC分类号： G06K9/00 ,  G06T5/00 ,  G06T7/00

CPC分类号： G06T7/0012 ,  G06T7/11 ,  G06T7/149 ,  G06T7/33 ,  G06T7/38 ,  G06T2207/10081 ,  G06T2207/20116 ,  G06T2207/20156 ,  G06T2207/30064

摘要： A method for refining shape estimates of detected abnormalities in medical images, particularly for the detection of pulmonary lesions in CT imagery is described. A cue point is refined prior to an initially segmentation of the lesion. A radial gradient is computed for points on an initial segmented lesion. Portions of the lesion with radial gradients deviating beyond a threshold angle are removed from the lesion. Registering imagery from more than one CT exam uses a high intensity structure, essentially bone, to provide coarse and fine alignment of a set of two-dimensional images is also described. A MIP image is formed from the three-dimensional images. A second MIP image is then formed from imagery. The second MIP image is correlated with the first MIP image to determine a preferred registration location.

摘要翻译： 描述了一种用于细化医学图像中检测到异常的形状估计的方法，特别是用于CT图像中肺损伤检测的方法。 在病变的最初分割之前，提示点被精炼。 计算初始分段病变上的点的径向梯度。 具有偏离超过阈值角度的径向梯度的病变部分从损伤处去除。 从多个CT检查中注册图像，还描述了高强度结构，基本上是骨骼，以提供一组二维图像的粗略和精细对准。 MIP图像由三维图像形成。 然后从图像形成第二个MIP图像。 第二MIP图像与第一MIP图像相关以确定优选的注册位置。