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20 条记录 (耗时 0.012 秒)

    LEARNING-BASED SPINE VERTEBRA LOCALIZATION AND SEGMENTATION IN 3D CT
    1.
    发明申请
    LEARNING-BASED SPINE VERTEBRA LOCALIZATION AND SEGMENTATION IN 3D CT 有权

    公开(公告)号：US20210150724A1

    公开(公告)日：2021-05-20

    申请号：US17114360

    申请日：2020-12-07

    申请人： Broncus Medical Inc.

    发明人： Erkang Cheng ,  Lav Rai ,  Henky Wibowo

    IPC分类号： G06T7/11 ,  G06T7/162 ,  G06T7/143

    摘要： Described herein is a novel method and system for segmentation of the spine using 3D volumetric data. In embodiments, a method includes an extracting step, localization step, and segmentation step. The extracting step comprises detecting the spine centerline and the spine canal centerline. The localization step comprises localizing the vertebra and intervertebral disc centers. Background and foreground constraints are created for each vertebra digit. Segmentation is performed for each vertebra digit and based on the hard constraints.

    REGISTRATION OF FLUOROSCOPIC IMAGES OF THE CHEST AND CORRESPONDING 3D IMAGE DATA BASED ON THE RIBS AND SPINE
    3.
    发明申请
    REGISTRATION OF FLUOROSCOPIC IMAGES OF THE CHEST AND CORRESPONDING 3D IMAGE DATA BASED ON THE RIBS AND SPINE 有权
    根据RIBS和脊髓注册了相关的3D图像数据

    公开(公告)号：US20160180529A1

    公开(公告)日：2016-06-23

    申请号：US14910656

    申请日：2014-08-07

    申请人： BRONCUS MEDICAL INC.

    发明人： Lav Rai ,  Jason David Gibbs ,  Henky Wibowo

    IPC分类号： G06T7/00

    CPC分类号： G06T7/33 ,  G06T7/0012 ,  G06T2207/10121 ,  G06T2207/30008 ,  G06T2207/30012

    摘要： The present invention is a method to register 3D image data with fluoroscopic images of the chest of a patient. The ribs and spine, which are visible in the fluoroscopic images, are analyzed and a rib signature or cost map is generated. The rib signature or cost map is matched to corresponding structures of the 3D image data of the patient. Registration is evaluated by computing a difference between the fluoroscopic image and a virtual fluoroscopic projected image of the 3D data. Related systems are also described.

    摘要翻译： 本发明是一种利用患者胸部的荧光透视图像来记录3D图像数据的方法。 分析在透视图像中可见的肋骨和脊柱，并生成肋标记或成本图。 肋标志或成本图与患者的3D图像数据的相应结构匹配。 通过计算透视图像和3D数据的虚拟透视投影图像之间的差异来评估注册。 还描述了相关系统。

    Automated fiducial marker planning method
    7.
    发明授权
    Automated fiducial marker planning method 有权

    公开(公告)号：US10068049B2

    公开(公告)日：2018-09-04

    申请号：US13908187

    申请日：2013-06-03

    申请人： Broncus Medical, Inc.

    发明人： Jason David Gibbs ,  Lav Rai ,  Henky Wibowo

    IPC分类号： G06G7/60 ,  A61B5/05 ,  G06F19/12 ,  G06T19/00 ,  A61N5/10 ,  A61B34/10 ,  G16H50/50 ,  G06F19/00

    摘要： A system and method are described for determining candidate fiducial marker locations in the vicinity of a lesion. Imaging information and data are input or received by the system and candidate marker locations are calculated and displayed to the physician. Additionally, interactive feedback may be provided to the physician for manually selected or identified sites. The physician may thus receive automatic real time feedback for a candidate fiducial marker location and adjust or accept a constellation of fiducial marker locations. 3D renderings of the airway tree, lesion, and marker constellations may be displayed.