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    • 24. 发明授权
    • Method for identifying a pathological region of a scan, such as an ischemic stroke region of an MRI scan
    • 用于识别扫描的病理区域的方法,例如MRI扫描的缺血性卒中区域
    • US08369598B2
    • 2013-02-05
    • US12518119
    • 2007-12-05
    • Varsha GuptaBhanu K N PrakashWieslaw L. Nowinski
    • Varsha GuptaBhanu K N PrakashWieslaw L. Nowinski
    • G06K9/00
    • G06T7/0012G06T7/68G06T2207/10088G06T2207/30016
    • A method for identifying a pathological region of a scan (such as a stroke region within a MRI DWI volume scan) is proposed. A region of the scan which is likely to contain pathological tissue (e.g. infracted tissue) is identified by obtaining a parameter which, for a given slice, or portion of a slice, characterizes the distribution of the intensity of pixels, e.g. the relative proportion of high intensity pixels. In a first case, such a parameter is used to identify those slices of a volume scan which are likely to include infarction. In a second case, such a parameter (hemisphere parameter) is obtained for each of the left- and right-hemispheres of a brain, to estimate which hemisphere contains the stroke. In either case, the parameter may be calculated based on ranges, percentiles and functions of the percentiles of the intensity distribution. These ranges, percentiles and functions of the percentiles are not pre-defined but are selected to maximize sensitivity.
    • 提出了用于识别扫描的病理区域(例如MRI DWI体积扫描内的中风区域)的方法。 通过获得对于给定的切片或切片的一部分来表征像素强度的分布的参数来识别可能含有病理组织(例如,损伤的组织)的扫描区域。 高强度像素的相对比例。 在第一种情况下,使用这样的参数来识别可能包括梗塞的体扫描的那些切片。 在第二种情况下,对于大脑的左半球和右半球中的每一个获得这样的参数(半球参数),以估计哪个半球包含中风。 在任一情况下,可以根据强度分布的百分位数的范围,百分位数和函数来计算参数。 百分位数的这些范围,百分位数和函数不是预定义的,而是选择以最大化灵敏度。
    • 27. 发明申请
    • Segmenting infarct in diffusion-weighted imaging volume
    • 扩散加权成像体积分割梗死
    • US20100231216A1
    • 2010-09-16
    • US12311484
    • 2006-10-03
    • Bhanu Prakash K.N.Varsha GuptaWieslaw Lucjan Nowinski
    • Bhanu Prakash K.N.Varsha GuptaWieslaw Lucjan Nowinski
    • G01R33/48
    • G06T7/11G06T7/136G06T2207/10092G06T2207/20104G06T2207/30016G06T2207/30101
    • Methods (2900), apparatuses (3000), and computer program products for segmenting an infarct in a diffusion-weighted imaging (DWI) volume are disclosed. A Region of Interest in at least one slice of the DWI volume is selected (2912). The ROI comprises at least a portion of the slice. A threshold for a minimum size of an infarct region is selected (2916). An energy mask is convolved (2918) with that slice, and the resulting energy image is normalized (2920). The ROI in the convolved energy image is selected (2922). An initial threshold is determined (2924) using a histogram of the ROI of the slice without a background region, and an initial segmentation of the slice is performed (2926). Individual components of the initial segmentation of the slice are labeled (2930). A final threshold is determined (2932) using histograms of labeled components if the initial segmentation, and a final segmentation if the slice is performed (2934) using that threshold.
    • 公开了用于分割扩散加权成像(DWI)体积中的梗塞的方法(2900),装置(3000)和用于分割梗塞的计算机程序产品。 选择DWI卷的至少一个片段中的感兴趣区域(2912)。 ROI包括切片的至少一部分。 选择梗死区域的最小尺寸的阈值(2916)。 能量掩模与该切片卷积(2918),并且所得能量图像被归一化(2920)。 选择卷积能量图像中的ROI(2922)。 使用没有背景区域的切片的ROI的直方图来确定初始阈值(2924),并且执行切片的初始分割(2926)。 片段初始分割的各个成分被标记(2930)。 如果初始分割,则使用标记分量的直方图来确定最终阈值(2932),以及如果使用该阈值执行切片的最终分割(2934)。