PULMONARY ANALYSIS USING TRANSPULMONARY PRESSURE

    公开(公告)号:US20220130040A1

    公开(公告)日:2022-04-28

    申请号:US17512604

    申请日:2021-10-27

    Abstract: A method for analyzing a patient based on a volumetric pulmonary scan includes receiving volumetric pulmonary scan data representative of a patient's pulmonary structure. This method also includes determining a level of transpulmonary pressure defining an effort metric based on one or more characteristics from the received volumetric pulmonary scan data. This method further includes determining one or more physiological or anatomical parameters associated with the transpulmonary pressure based on the received volumetric pulmonary scan data and the effort metric. A non-transitory computer readable medium can be programmed with instructions for causing one or more processors to perform the method for analyzing a patient based on a volumetric pulmonary scan.

    TREATMENT OUTCOME PREDICTION FOR LUNG VOLUME REDUCTION PROCEDURES
    4.
    发明申请
    TREATMENT OUTCOME PREDICTION FOR LUNG VOLUME REDUCTION PROCEDURES 有权
    治疗肺癌减少手术的预测成果预测

    公开(公告)号:US20150238270A1

    公开(公告)日:2015-08-27

    申请号:US14188005

    申请日:2014-02-24

    Abstract: Systems and methods for displaying a predicted outcome of a lung volume reduction procedure for a patient including a user interface, a processor, and programing operable on the processor for displaying a predicted outcome of the bronchoscopic lung volume reduction procedure on the user interface, wherein displaying the predicted outcome of the lung volume reduction procedure includes receiving patient data comprising volumetric images of the patient, analyzing the volumetric images to identify one or more features correlated to treatment outcome prediction, predicting an outcome for a treatment modality or treatment device using the one or more identified features, and displaying the predicted outcome on the user interface.

    Abstract translation: 用于显示患者的肺容量减小程序的预测结果的系统和方法,包括用户接口,处理器和可在该处理器上操作的编程,用于在用户界面上显示支气管镜肺容积减小程序的预测结果,其中显示 肺容量减小程序的预测结果包括接收包括患者的体积图像的患者数据,分析体积图像以识别与治疗结果预测相关的一个或多个特征,预测治疗模态或治疗装置的结果, 更多识别的功能,并在用户界面上显示预测结果。

    Systems and methods for quantifying regional fissure features

    公开(公告)号:US10165964B2

    公开(公告)日:2019-01-01

    申请号:US15148767

    申请日:2016-05-06

    Abstract: Analysis of pulmonary scans representative of a patient's pulmonary structure can be used to classify a patient into one or more of a plurality of populations. The patient's scan can be mapped to a reference domain and analyzed to determine one or more fissure features associated with a plurality of regions in the reference domain. Comparison of the determined fissure features with a plurality of fissure atlases, each associated with different population, can be performed to classify the patient into one or more of the populations. Data from different fissure atlases can be compared to determine regions in the fissure atlases that distinguish one population from another. Such distinguishing regions can improve the ability to classify the patient while reducing errors based on false classifications.

    VISUALIZATION AND CHARACTERIZATION OF PULMONARY LOBAR FISSURES
    7.
    发明申请
    VISUALIZATION AND CHARACTERIZATION OF PULMONARY LOBAR FISSURES 有权
    肺动脉栓塞的可视化和特征

    公开(公告)号:US20140105472A1

    公开(公告)日:2014-04-17

    申请号:US13804542

    申请日:2013-03-14

    Abstract: Systems and methods for visualizing pulmonary fissures including a processor and software instructions for creating a 3 dimensional model of the fissures. Creating the 3 dimensional model includes accessing volumetric imaging data of the patient's lungs, analyzing the volumetric imaging data to segment the lungs into lobes, using the segmented lobes to identify locations at which pulmonary fissures should be present where the lobes abut each other, analyzing the volumetric images to identify locations at which pulmonary fissures actually are present as existing fissure, comparing the locations at which pulmonary fissures should be present to the locations at which pulmonary fissures are present to identify locations of missing fissure, and creating a visual display comprising a 3 dimensional model of the pulmonary fissures including existing fissure portions and missing fissure portions, with the existing fissure portion visually distinct from the missing fissure portions.

    Abstract translation: 用于可视化肺裂缝的系统和方法,包括用于创建裂缝的3维模型的处理器和软件指令。 创建三维模型包括访问患者肺的体积成像数据,分析体积成像数据以将肺分成肺叶,使用分段叶片来识别出现肺裂隙的位置,其中叶片彼此邻接,分析 体积图像以识别实际存在肺部裂隙的位置,作为现有裂缝,将肺部裂隙应存在的位置与出现肺裂的位置进行比较,以识别缺失裂缝的位置,以及创建视觉显示,包括3 包括现有裂缝部分和缺失的裂缝部分的肺裂缝的三维模型,其中现有的裂缝部分在视觉上与缺失的裂缝部分不同。

    METHOD OF QUANTIFYING LUNG DISEASE

    公开(公告)号:US20240386552A1

    公开(公告)日:2024-11-21

    申请号:US18666070

    申请日:2024-05-16

    Abstract: A method of using computed tomographic (CT) image data to provide a quantitative assessment of various classes of lung disease, including for example, interstitial lung abnormalities associated with interstitial lung disease (ILD) represented as a mass contribution, or as a percentage contribution by mass. Mass fractions of emphysema due to COPD are also addressed along with the special case of addressing air trapping mass fraction due to ILA/ILD, asthma, COPD, BOS.

    Treatment outcome prediction for lung volume reduction procedures

    公开(公告)号:US10226299B2

    公开(公告)日:2019-03-12

    申请号:US15362343

    申请日:2016-11-28

    Abstract: Systems and methods for displaying a predicted outcome of a lung volume reduction procedure for a patient including a user interface, a processor, and programing operable on the processor for displaying a predicted outcome of the bronchoscopic lung volume reduction procedure on the user interface, wherein displaying the predicted outcome of the lung volume reduction procedure includes receiving patient data comprising volumetric images of the patient, analyzing the volumetric images to identify one or more features correlated to treatment outcome prediction, predicting an outcome for a treatment modality or treatment device using the one or more identified features, and displaying the predicted outcome on the user interface.

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