IMAGE PROCESSING SYSTEM AND METHOD FOR INTERACTIVE CONTOURING OF THREE-DIMENSIONAL MEDICAL DATA

    公开(公告)号:US20190197692A1

    公开(公告)日:2019-06-27

    申请号:US16329415

    申请日:2017-09-04

    Inventor: Ola WEISTRAND

    Abstract: An anatomic structure of interest is contoured in 3D source data by selecting a first subset of data in a first image slice at a first axial position (z1). A first set of instructions identifies a first edge (E1) of the anatomic structure of interest in the first image slice. Then, a second subset of data is selected in a second image slice at a second axial position (z2); and a second set of instructions identifies a second edge (E2) of the anatomic structure of interest in the second image slice. A three-dimensional shell (3DS) is calculated based on the first and second edges (E1; E2) and the source data (SD). The three-dimensional shell (3DS) represents an approximation of a delimiting surface that separates the anatomic structure of interest from adjoining tissues in the 3D source data.

    SYSTEM AND METHOD FOR HANDLING IMAGE DATA
    23.
    发明申请

    公开(公告)号:US20180182106A1

    公开(公告)日:2018-06-28

    申请号:US15738891

    申请日:2016-06-23

    Inventor: Ola WEISTRAND

    Abstract: A data processing unit receives a reference image (IMG13D) of a deformable physical entity, a target image (IMG23D) of said physical entity, and a first region of interest (ROI13D) defining a first volume in the reference image (IMG13D) representing a reference image element. The reference image (IMG13D), the target image (IMG23D) and the first region of interest (ROI13D) all contain 3D datasets. In response to user commands (c1; c2), the data processing unit defines a first contour (C12D) in a first plane through the target image (IMG23D), which is presented to a user via a display unit together with graphic data reflecting the reference image (IMG13D), the target image (IMG23D) and the first region of interest (ROI13D). The first contour (C12D) is aligned with at least a portion of a first border (IEB1) of a target image element (IE3D) in the target image (IMG23D). The target image element (IE3D) corresponds to the reference image element in the reference image (IMG13D). Based on the first contour (C12D), the target image (IMG23D) and the first region of interest (ROI13D); the data processing unit determines a second region of interest (ROI23D) defining a second volume in the target image (IMG23D).

    Robust treatment planning or plan evaluation

    公开(公告)号:US12285629B2

    公开(公告)日:2025-04-29

    申请号:US18005674

    申请日:2021-06-14

    Abstract: In cases where material properties of a structure within or outside a patient receiving radiotherapy treatment, robust planning can be used, based on different scenarios with different material property values using a material override function present in the treatment planning system.
    A computer-based method of generating a radiotherapy treatment plan for a patient, based on an image of the patient and a desired dose. In cases where material properties of a structure within or outside a patient receiving radiotherapy treatment, robust planning can be used, based on different scenarios with different material property values using a material override function present in the treatment planning system. Robust planning is performed based on the at least two scenarios to provide robust evaluation data for each of the at least two scenarios and/or a robust optimized treatment plan with respect to all values in the set of material override values.

    Radiation therapy treatment planning

    公开(公告)号:US12138480B2

    公开(公告)日:2024-11-12

    申请号:US17906201

    申请日:2021-03-31

    Inventor: Tianfang Zhang

    Abstract: A method and apparatus for generating a radiation treatment plan for a volume comprising: receiving a first treatment plan upon which to base a second treatment plan, the first treatment plan indicative of a dose distribution; receiving at least one dose-distribution-derived function configured to provide a value based on at least part of the dose distribution; receiving a target for the respective value of each dose-distribution-derived function comprising receiving a probability distribution; determining an optimization problem, wherein the or each objective function is a function of the dose-distribution-derived function, the respective probability distribution and a respective loss function; performing the optimization process based on said optimization problem; and determining said second treatment plan.

Patent Agency Ranking