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    • 1. 发明申请
    • SAMPLING MEDICAL IMAGES FOR VIRTUAL HISTOLOGY
    • 抽样医学图像的虚拟组织
    • WO2006042077A2
    • 2006-04-20
    • PCT/US2005036093
    • 2005-10-07
    • VIATRONIX INCCHEN DONGQING
    • CHEN DONGQING
    • G06K9/00
    • G06F19/325G06F17/30262G06F19/321G06T7/0012G06T7/11G06T2207/10072G06T2207/20101G06T2207/30032
    • A system (300, 400, 800) and method (100, 200) are provided for building a digital sample library of lesions or cancers from medical images, the system (300) including an image scanner (310), image visualization or reviewing equipment (320) in signal communication with the image scanner, a digital sample library database (332), and a network for data communication connected between the library, the reviewing equipment, and the at least one scanner; and the method (100) including acquiring patient medical images (112), detecting target lesions in the acquired patient medical images (114, 116, 118), extracting digital samples (120) of the detected target lesions, collecting pathological and histological results (124, 126) of the detected target lesions, collecting diagnostic results of the detected target lesions (128), performing model selection and feature extraction (122) for each digital sample of a lesion, and storing (130) each extracted digital sample for library evolution.
    • 提供了一种用于从医学图像构建病变或癌症的数字样本库的系统(300,400,800)和方法(100,200),所述系统(300)包括图像扫描仪(310),图像可视化或检查设备 (320)与图像扫描器进行信号通信,数字样本库数据库(332)以及连接在库,审查设备和至少一个扫描仪之间的用于数据通信的网络; 和方法(100)包括获取患者医学图像(112),检测所获取的患者医学图像(114,116,118)中的目标损伤,提取检测到的目标损伤的数字样本(120),收集病理学和组织学结果( 收集检测到的目标损伤(128)的诊断结果,针对损伤的每个数字样本执行模型选择和特征提取(122),以及将每个提取的数字样本存储(130)用于文库 演化。
    • 2. 发明申请
    • VIRTUAL ENDOSCOPY METHODS AND SYSTEMS
    • 虚拟内镜方法和系统
    • WO2005036457A2
    • 2005-04-21
    • PCT/US2004/033888
    • 2004-10-12
    • VIATRONIX INCORPORATEDCHEN, DongqingLAKARE, SarangKREEGER, KevinWAX, Mark, R.KAUFMAN, Arie, E.LIANG, Zhengrong
    • CHEN, DongqingLAKARE, SarangKREEGER, KevinWAX, Mark, R.KAUFMAN, Arie, E.LIANG, Zhengrong
    • G06T
    • G06T7/12G06F19/00G06T2207/10081G06T2207/20132G06T2207/30032
    • Imaging systems and methods for processing and rendering volumetric images of a selected organ for virtual endoscopy applications are provided, which enable visualization and navigation of the imaged organ from within a lumen/cavity of the organ. For example, methods are provided for preparing 3D volumetric images of colons for virtual endoscopy application which do not require administration of oral laxatives or suppositories for patient bowel preparation. In particular, an imaging method which can be implemented for virtual colonoscopy applications, includes a process of obtaining an image dataset comprising image data of a colon (step 11) that is prepared (step 10) to tag regions of colonic residue in a manner that enhances a contrast between tagged regions of colonic residue in a lumen of the colon and a colon wall; segmenting (step 12) a region of interest in the image dataset, the region of interest comprising the colon lumen, the colon wall, and regions of tagged residue in the colon lumen; electronically cleaning (step 13) the tagged residue in the colon lumen using a gradient feature data obtained from the image dataset using a maximum directional gradient feature analysis; and rendering (step 14) a volumetric image comprising an endoluminal view at a region within the imaged colon.
    • 提供用于处理和渲染用于虚拟内窥镜检查应用的所选器官的体积图像的成像系统和方法,其使得能够从器官的腔/腔内可视化和导航成像的器官。 例如,提供了用于制备用于虚拟内窥镜检查应用的冒烟的3D体积图像的方法,其不需要口服泻药或栓剂用于患者肠道准备。 特别地,可以实现用于虚拟结肠镜检查应用的成像方法包括获得包括结肠图像数据(步骤11)的图像数据集的处理(步骤11),其被制备(步骤10),以以下方式标记结肠残基的区域: 增加结肠腔中结肠残留的标记区域与结肠壁之间的对比度; 分割(步骤12)图像数据集中的感兴趣区域,感兴趣区域包括结肠腔,结肠壁和结肠腔中标记残基的区域; 使用最大方向梯度特征分析从图像数据集获得的梯度特征数据电子清洗(步骤13)结肠腔中的标记残基; 以及渲染(步骤14)包括在成像的结肠内的区域的腔内视图的体积图像。