会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 9. 发明公开
    • LUNG MEASUREMENTS
    • LUNGENMESSUNGEN
    • EP3011538A1
    • 2016-04-27
    • EP14730943.9
    • 2014-06-19
    • Koninklijke Philips N.V.Philips GmbH
    • MAACK, Hanns-IngoGOOSSEN, André
    • G06T7/00G06T7/60
    • G06T7/0012G06K9/46G06T7/68G06T2207/10116G06T2207/20224G06T2207/30061
    • The present invention relates to lung measurement. In order to provide enhanced information about a patient that facilitates further assessment steps, 2D X-ray image data of a patient's chest is provided, and the image data is segmented to identify lung structures to provide segmented image data separated from un-segmented areas. Further, spatial lung volume information is extracted from the image data using the segmented image data derived from the image data. Still further, lungs symmetry information is determined using the extracted spatial lung volume information. Finally, the lungs symmetry information is provided to a user. For example, a 2D X-ray image data of a patient's chest is provided (84) and a lungs mask image is formed (86) after the step of segmenting the input image data. Then, the lungs mask image is used to define areas, within which a predetermined adaptation is applied (88) to the original 2D X-ray image data producing a thorax mask image. Next, left and right images are provided (90) showing the left and the right spatial lungs volume information of the regions defined originally by the lungs mask image. Finally, based on the spatial lungs volume information, lungs symmetry information or total lung volumes may be calculated and provided (92).
    • 本发明涉及肺部测量。 为了提供有助于进一步评估步骤的患者的增强信息,提供患者胸部的2D X射线图像数据,并且分割图像数据以识别肺结构以提供从未分割区域分离的分割图像数据。 此外,使用从图像数据导出的分割图像数据,从图像数据中提取空间肺容积信息。 此外,使用所提取的空间肺容积信息来确定肺对称性信息。 最后,向用户提供肺对称性信息。 例如,提供患者胸部的2D X射线图像数据(84),并且在分割输入图像数据的步骤之后形成肺屏蔽图像(86)。 然后,肺屏蔽图像用于限定区域,在该区域中,对原始2D X射线图像数据施加预定的适应(88),产生胸罩掩模图像。 接下来,提供左图和右图像(90),其示出了由肺屏蔽图像最初定义的区域的左和右空间肺体积信息。 最后,根据空间肺体积信息,可以计算和提供肺对称性信息或肺总体积(92)。
    • 10. 发明公开
    • A METHOD AND X-RAY SYSTEM FOR COMPUTER AIDED DETECTION OF STRUCTURES IN X-RAY IMAGES
    • RERNTGENBILDERN VERFAHREN UNDRÖNTGENSYSTEMZURCOMPUTERGESTÜTZTENERKENNUNG VON STRUKTUREN
    • EP2976746A2
    • 2016-01-27
    • EP14710390.7
    • 2014-02-20
    • Koninklijke Philips N.V.Philips GmbH
    • FREDENBERG, Jon ErikLUNDQVIST, Mats VilhelmROESSL, EwaldERHARD, KlausKOEHLER, ThomasCEDERSTRÖM, BjörnMAACK, Hanns-Ingo
    • G06T5/50A61B6/00
    • G06K9/4671A61B6/482A61B6/502G06K9/52G06K9/6201G06T5/50G06T7/0012G06T7/60G06T2207/10116G06T2207/30068G06T2207/30242
    • The present invention relates to X-ray imaging technology as well as image post-processing. Particularly, the present invention relates to a method for computer aided detection of structures in X-ray images as well as an X-ray system. A computer aided detection algorithm visibly determines tissue structures in X-ray image information and subsequently matches the shape of a determined tissue structure with a library of known tissue structures for characterizing the type of determined tissue structure. The determination of a tissue structure and thus the characterization of the type of the tissue structure may be enhanced when employing also spectral information, in particular energy information of the acquired X-ray image. Accordingly, a method (70,80,90) for computer aided detection of structures and X-ray images is provided, comprising the steps of obtaining (72) spectral X-ray image information of an object, wherein the spectral X-ray image information constitutes at least one X-ray image, detecting (74) a tissue structure of interest in the X-ray image by employing a computer aided detection algorithm, wherein detecting a tissue structure of interest in the X-ray image comprises the computer aided detection algorithm being adapted to evaluate the X-ray image for tissue structure shape and compare the tissue structure shape with a plurality of pre-determined tissue structure shapes and wherein the computer aided detection algorithm is adapted to evaluate spectral information of the X-ray image for detecting the tissue structure of interest.
    • 本发明涉及X射线成像技术以及图像后处理。 特别地,本发明涉及一种用于计算机辅助检测X射线图像中的结构的方法以及X射线系统。 计算机辅助检测算法​​可视地确定X射线图像信息中的组织结构,然后将确定的组织结构的形状与已知组织结构的文库相匹配,以表征所确定的组织结构的类型。 当采用光谱信息,特别是所获得的X射线图像的能量信息时,可以增强组织结构的确定以及因此组织结构类型的表征。 因此,提供了一种用于结构和X射线图像的计算机辅助检测的方法(70,80,90),包括以下步骤:获得(72)对象的光谱X射线图像信息,其中所述光谱X射线图像 信息构成至少一个X射线图像,通过采用计算机辅助检测算法​​来检测(74)X射线图像中感兴趣的组织结构,其中检测X射线图像中感兴趣的组织结构包括计算机辅助 检测算法适于评估组织结构形状的X射线图像,并将组织结构形状与多个预定组织结构形状进行比较,其中计算机辅助检测算法​​适于评估X射线图像的光谱信息 用于检测感兴趣的组织结构。