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    • 4. 发明申请
    • PATIENT INTERFACE SIZING GAUGE
    • 患者界面尺寸计
    • WO2013118034A1
    • 2013-08-15
    • PCT/IB2013/050824
    • 2013-01-31
    • KONINKLIJKE PHILIPS N.V.
    • TODD, Jonathan Paul
    • A61M16/06G01B3/38
    • A61B5/1075A61M16/06A61M16/0605A61M2016/0661G01B3/38
    • A sizing gauge (4) is structured to be used with a patient (8) and is structured to enable an identification of a particular patient interface that is most appropriately sized for the patient. The sizing gauge includes a support portion (12) and a sizing portion (16). The sizing portion includes a first gauge element (36) and a plurality of second gauge elements (40A,40B,40C). The first gauge element is disposed on the support portion and is structured to be positioned at a first location on the patient's face. The plurality of second gauge elements are disposed on the support portion and are situated at locations spaced from the first gauge element. The distance between the first gauge element and each second gauge element is representative of a size in one direction (44) of each of at least some of the plurality of patient interfaces. At least one of the plurality of second gauge elements comprises a tactile feature.
    • 定型计量器(4)构造成与患者(8)一起使用,并且被构造成能够识别针对患者最适当尺寸的特定患者接口。 定径计包括支撑部分(12)和施胶部分(16)。 上浆部分包括第一规格元件(36)和多个第二规格元件(40A,40B,40C)。 第一规格元件设置在支撑部分上,并被构造成位于患者面部的第一位置。 多个第二规格元件设置在支撑部分上并且位于与第一标尺元件间隔开的位置处。 第一计量元件和每个第二计量元件之间的距离代表多个患者界面中的至少一些患者界面中的每一个的一个方向(44)上的尺寸。 所述多个第二规格元件中的至少一个包括触觉特征。
    • 6. 发明申请
    • TUMOR SEGMENTATION AND TISSUE CLASSIFICATION IN 3D MULTI-CONTRAST
    • 3D多对象中的肿瘤分类和组织分类
    • WO2013111101A1
    • 2013-08-01
    • PCT/IB2013/050644
    • 2013-01-25
    • KONINKLIJKE PHILIPS N.V.PHILIPS INTELLECTUAL PROPERTY & STANDARDS GMBH
    • FRANZ, Astrid RuthREMMELE, StefanieSTEHNING, ChristianKEUPP, Jochen
    • G06T7/00
    • G06T7/11A61B5/0042A61B5/055A61B5/742A61B6/037A61B6/461A61B6/481A61B6/5211G01R33/4808G01R33/5601G01R33/563G06T7/0012G06T7/174G06T7/187G06T15/08G06T2207/10088G06T2207/10104G06T2207/20016G06T2207/20092G06T2207/20168G06T2207/30016G06T2207/30096
    • A medical imaging system (5) includes a workstation (20), a coarse segmenter (30), a fine segmenter (32), and an enclosed tissue identification module (34). The workstation (20) includes at least one input device (22) for receiving a selected location as a seed in a first contrasted tissue type and a display device (26) which displays a diagnostic image delineating a first segmented region of a first tissue type and a second segmented region of a second contrasted tissue type and identified regions which include regions fully enclosed by the first segmented region as a third tissue type. The coarse segmenter (30) grows a coarse segmented region of coarse voxels for each contrasted tissue type from the seed location based on a first growing algorithm and a growing fraction for each contrasted tissue type. The seed location for growing the second contrasted tissue type includes the first coarse segmented region and any fully enclosed coarse voxels, and each coarse voxel includes an aggregation of voxels and a maximum and a minimum of the voxel intensities. The fine segmenter (32) grows a segmented region of voxels for each contrasted tissue type from the seed location and bounded by the second coarse segmented region based on a second growing algorithm and a growing fraction for each contrasted tissue type initially set to the growing fraction for the corresponding region. The seed location for growing the second contrasted tissue type includes the first segmented region and any identified regions. The enclosed tissue identification module (34) identifies any regions of voxels fully enclosed by the first segmented region as being of the third tissue type. The coarse segmenter, the fine segmenter, and the enclosed tissue identification module are implemented by an electronic data processing device.
    • 医疗成像系统(5)包括工作站(20),粗分割器(30),精细分割器(32)和封闭的组织识别模块(34)。 工作站(20)包括至少一个输入装置(22),用于以第一对比组织类型的种子的形式接收所选择的位置,以及显示装置(26),其显示描绘第一组织类型的第一分割区域 以及第二对比组织类型的第二分割区域和被识别的区域,其包括由第一分割区域完全包围的区域作为第三组织类型。 粗分割器(30)基于第一生长算法和每个对比组织类型的生长部分,从种子位置为每个对比组织类型生长粗体素的粗分割区域。 用于生长第二对比组织类型的种子位置包括第一粗分段区域和任何完全封闭的粗体素,并且每个粗体素包括体素的聚集和体素强度的最大和最小值。 细分割器(32)基于第二种生长算法,从种子位置生长每个对比组织类型的分形区域,并由第二粗分段区域生长,并且对于初始设置为生长部分的每个对比组织类型的生长部分 对于相应的区域。 用于生长第二对比组织类型的种子位置包括第一分割区域和任何识别的区域。 封闭的组织识别模块(34)将由第一分段区域完全包围的体素的任何区域识别为第三组织类型。 粗分割器,精细分割器和封闭组织识别模块由电子数据处理装置实现。