Pulmonary analysis using transpulmonary pressure

    公开(公告)号:US12086980B2

    公开(公告)日:2024-09-10

    申请号:US17512604

    申请日:2021-10-27

    IPC分类号: G06T7/00 G06T7/62

    摘要: 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.

    IMAGE PROCESSING DEVICE, METHOD, AND PROGRAM

    公开(公告)号:US20240016365A1

    公开(公告)日:2024-01-18

    申请号:US18336918

    申请日:2023-06-16

    发明人: Sadato AKAHORI

    摘要: A processor acquires a three-dimensional image of a subject, acquires a radiation image of the subject having a lumen structure into which an endoscope is inserted, acquires a first real endoscopic image in the lumen structure of the subject captured at a first time point by the endoscope, derives a provisional virtual viewpoint in the three-dimensional image of the endoscope using the radiation image and the three-dimensional image, derives a virtual viewpoint at the first time point in the three-dimensional image of the endoscope using the provisional virtual viewpoint, the first real endoscopic image, and the three-dimensional image, and derives a virtual viewpoint at a second time point after the first time point in the three-dimensional image of the endoscope using the first real endoscopic image and a second real endoscopic image captured by the endoscope at the second time point.

    Subject specific coordinatization and virtual navigation systems and methods

    公开(公告)号:US11875459B2

    公开(公告)日:2024-01-16

    申请号:US17223393

    申请日:2021-04-06

    摘要: A method for analyzing an anatomical structure of a patient may include the steps of receiving volumetric scan data representative of one or more features of an anatomical structure; mapping the features to a node tree diagram; and displaying the node tree diagram. The features can comprise branching points, pathways connecting the branching points, and location data of the branching points and pathways. The node tree diagram may comprise a plurality of nodes and branches representing the branching points and pathways in the anatomical structure, respectively. The plurality of nodes may comprise a root node representing a root branching point as well as additional nodes representing additional branching points. Additionally, the node tree diagram may comprise a first set of one or more regions, wherein each region encompasses a respective portion of the node tree diagram and is representative of a defined portion of the anatomical structure.

    METHOD AND APPARATUS TO PREDICT FEATURE STATE CHANGE WITHIN AN IMAGE

    公开(公告)号:US20230298177A1

    公开(公告)日:2023-09-21

    申请号:US17696802

    申请日:2022-03-16

    申请人: Optellum Limited

    IPC分类号: G06T7/00

    摘要: A CADx system for analysing medical images to monitor at least one feature on the image to predict at least one of a change of the state or maintenance of the current state of a monitored feature within a time frame is described. The system comprising: an input circuit for receiving at least one medical input image; a feature state change circuit for analysing the received input image and predicting a state change comprising: a state change predictor to predict a state change of the monitored feature within the time frame; and an output circuit to output an indication of the change of state or maintenance of the current state of the monitored feature within the time frame based on the prediction of the feature state change predictor. A method of training a feature state change prediction circuit using Machine Learning is also described.