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    IMAGE PROCESSING DEVICE, METHOD, AND PROGRAM
    6.
    发明公开
    IMAGE PROCESSING DEVICE, METHOD, AND PROGRAM 审中-公开
    图像处理装置，方法和程序

    公开(公告)号：EP2901933A1

    公开(公告)日：2015-08-05

    申请号：EP13841776.1

    申请日：2013-09-20

    申请人： FUJIFILM Corporation

    发明人： LI, Yuanzhong

    IPC分类号： A61B6/03 ,  G06T1/00

    CPC分类号： G06T7/0093 ,  G06T1/60 ,  G06T5/30 ,  G06T7/11 ,  G06T7/162 ,  G06T2200/04 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10104 ,  G06T2207/20016 ,  G06T2207/20072 ,  G06T2207/30056

    摘要： [Aim] To shorten required processing time and reduce a memory amount for operations when an area is extracted from an image by using a graph cut method.
    [Solution Means] An image obtainment unit (10) obtains plural CT images from an X-ray CT apparatus (2), and generates a three-dimensional image (M0). A low-resolution image generation unit (12) performs multi-resolution transformation on the three-dimensional image (M0), and generates a low resolution image (ML). A first extraction unit (14) extracts a specific area, such as the liver region, from the low resolution image (ML) by using a graph cut method. An outline area setting unit (16) sets the outline of the liver region extracted from the low resolution image (ML) in the three-dimensional image (M0), and sets an outline area including the outline in the three-dimensional image (M0). A second extraction unit (18) extracts the outline of the liver region from the outline area, and also extracts the liver region from the three-dimensional image (M0).

    摘要翻译： [目标]通过使用图形切割方法从图像提取区域时，缩短所需的处理时间并减少用于操作的存储量。 [解决方法]图像取得部（10）从X射线CT装置（2）取得多个CT图像，生成三维图像（M0）。 低分辨率图像生成单元（12）对三维图像（M0）执行多分辨率变换，并且生成低分辨率图像（ML）。 第一提取单元（14）通过使用图形切割方法从低分辨率图像（ML）中提取特定区域，例如肝脏区域。 轮廓区域设定部（16）在三维图像（M0）中设定从低分辨率图像（ML）提取的肝脏区域的轮廓，在三维图像中设定包含轮廓的轮廓区域（M0 ）。 第二提取单元（18）从轮廓区域提取肝脏区域的轮廓，并且还从三维图像（M0）中提取肝脏区域。

    Automatic measurement of lesions on medical images
    7.
    发明公开
    Automatic measurement of lesions on medical images 审中-公开
    Automatische Messung vonLäsionenauf medizinischen Bildern

    公开(公告)号：EP2772882A1

    公开(公告)日：2014-09-03

    申请号：EP13157488.1

    申请日：2013-03-01

    申请人： UNIVERSITE D'ANGERS ,  Centre Hospitalier Universitaire d'Angers

    发明人： Cales, Paul ,  Chaigneau, Julien ,  Hunault, Gilles ,  Rousselet, Marie Christine ,  Aubé, Christophe

    IPC分类号： G06T7/00

    CPC分类号： G06T7/0012 ,  G06T7/11 ,  G06T7/90 ,  G06T2207/10056 ,  G06T2207/30056 ,  G06T2207/30096

    摘要： The present invention relates to a method for assessing the presence and/or the severity of a lesion in an organ or tissue of a subject through automated analysis of at least one image of said organ or tissue, wherein said organ or tissue is preferably a liver organ or liver tissue, comprising the calculation of a score combining descriptors of said image, wherein said method comprises the steps of:
    a. measuring on said at least one image at least two descriptors of said at least one image;
    b. mathematically combining said at least two descriptors in a score; and
    c. assessing the presence and/or the severity of a lesion in the organ or tissue based on the value of the score calculated at step (b).

    摘要翻译： 本发明涉及通过自动分析所述器官或组织的至少一个图像来评估受试者的器官或组织中病变的存在和/或严重程度的方法，其中所述器官或组织优选为肝脏 器官或肝组织，包括计算组合所述图像的描述符的分数，其中所述方法包括以下步骤：a。 在所述至少一个图像上测量所述至少一个图像的至少两个描述符; 湾 在分数中数学地组合所述至少两个描述符; 和c。 基于在步骤（b）计算的得分的值来评估器官或组织中病变的存在和/或严重程度。

    Medical image diagnosis assisting apparatus and method, and computer readable recording medium on which is recorded program for the same
    8.
    发明公开
    Medical image diagnosis assisting apparatus and method, and computer readable recording medium on which is recorded program for the same 有权
    医学图像诊断辅助设备和方法，以及其上记录有程序的计算机可读记录介质

    公开(公告)号：EP2375377A1

    公开(公告)日：2011-10-12

    申请号：EP11152082.1

    申请日：2011-01-25

    申请人： Fujifilm Corporation

    发明人： Mizuno, Osamu

    IPC分类号： G06T7/00

    CPC分类号： G06T7/0012 ,  G06T7/10 ,  G06T7/187 ,  G06T2207/10072 ,  G06T2207/30056 ,  G06T2207/30061 ,  G06T2207/30096 ,  G06T2207/30101

    摘要： When performing image diagnosis using a three-dimensional medical image representing a subject's internal structure constituted by branch and peripheral structures, allowing a necessary and sufficient treatment target area to be identified for an abnormal area. A lesion area detection unit (33) detects an abnormal peripheral structure (lesion area), pulmonary blood vessel extraction unit (32) extracts a branch structure (pulmonary blood vessel) from the three-dimensional medical image, associated blood vessel identification unit (35) identifies an associated branch structure functionally associated with the abnormal peripheral structure based on position information of each point in the extracted branch structure, and associated lung parenchymal area identification unit (36) identifies an associated peripheral area (lung parenchyma) functionally associated with the identified associated branch structure based on the position information of each point in the extracted branch structure.

    摘要翻译： 当使用表示由分支和外围结构构成的对象的内部结构的三维医学图像进行图像诊断时，允许为异常区域识别必要且充分的治疗目标区域。 病变区域检测部33检测异常周边结构（病变区域），肺血管提取部32从三维医用图像中提取分支结构（肺血管），关联血管识别部35 ）基于提取的分支结构中的每个点的位置信息来识别与异常外周结构在功能上相关联的关联分支结构，并且相关联肺实质区域识别单元（36）识别与所识别的功能相关联的关联周边区域（肺实质） 基于所提取的分支结构中的每个点的位置信息来确定关联的分支结构。