Comparison of a region of interest along a time series of images

    公开(公告)号:US11501442B2

    公开(公告)日:2022-11-15

    申请号:US17039281

    申请日:2019-08-04

    Applicant: Brainlab AG

    Abstract: Disclosed is a computer-implemented method of determining a correspondence between a region of interest as it appears in a first digital medical patient image and as it appears in a second digital medical image. The correspondence is determined by calculating the ratio of overlap of the region of interest with a data object defining an anatomical body part in the first image and the second image and determining whether the larger of the two ratios exceeds a threshold. If the threshold is exceeded, the method assumes that the appearances in the two images describe the same region of interest.

    CORRECTING SEGMENTATION OF MEDICAL IMAGES USING A STATISTICAL ANALYSIS OF HISTORIC CORRECTIONS

    公开(公告)号:US20220122266A1

    公开(公告)日:2022-04-21

    申请号:US17281493

    申请日:2019-12-20

    Applicant: Brainlab AG

    Abstract: Disclosed is a computer-implemented methods of determining distributions of corrections for correcting the segmentation of medical image data, determining corrections for correcting the segmentation of medical image data, training a learning algorithm for determining a segmentation of a digital medical image, and determining a relation between an image representation of the anatomical body part in an individual medical image and a label to be associated with the image representation of the anatomical body part in the individual medical image using the trained machine learning algorithm. The methods encompass reading a plurality of corrections to image segmentations, wherein the corrections themselves may have been manually generated, transforming these corrections into a reference system which is not patient-specific such as an atlas reference system, conducting a statistical analysis of the correction, and applying the re-transformed result of the statistical analysis to patient images. The result of the statistical analysis may also be used to appropriately train a machine learning algorithm for automatic segmentation of patient images. The application of such a trained machine learning algorithm is also part of this disclosure.

    Radiotherapy Feedback Device
    16.
    发明申请

    公开(公告)号:US20220115110A1

    公开(公告)日:2022-04-14

    申请号:US17510008

    申请日:2021-10-25

    Applicant: Brainlab AG

    Inventor: Stefan Vilsmeier

    Abstract: A radiotherapy feedback device is provided which provides one of a plurality of indication signals for presentation to a surgeon based on the status of a current surgical procedure. In some aspects, an indication signal is provided to the surgeon if the surgical procedure on an anatomical structure is of sufficient status so as to respond well to subsequent radiotherapy.

    USING A CURRENT WORKFLOW STEP FOR CONTROL OF MEDICAL DATA PROCESSING

    公开(公告)号:US20220110693A1

    公开(公告)日:2022-04-14

    申请号:US17281478

    申请日:2019-12-18

    Applicant: Brainlab AG

    Abstract: Disclosed is a computer-implemented of adapting a biomechanical model of an anatomical body part of a patient to a current status of the patient. The method encompasses determination of a currently executed step of a workflow such as a medical intervention, the result of the determination serving as a basis for adapting and/or updating a biomechanical model of an anatomical body part to the corresponding current status of the patient. The determination of the current workflow step may also be used as basis for controlling an imaging device for tracking entities around the patient or for imaging the anatomical body part or acquiring further data or for urging the user to perform a specific action such as acquisition of information using a tracked instrument such as a pointer. The biomechanical model has been generated from atlas data. The data sets which are generated according to the current workflow step may additionally or alternatively serve as a basis for determining the current workflow step and/or adapting the further workflow.

    Breathing phase-based transformation of a static computed tomography

    公开(公告)号:US10434332B2

    公开(公告)日:2019-10-08

    申请号:US15505806

    申请日:2014-08-28

    Applicant: Brainlab AG

    Inventor: Stefan Vilsmeier

    Abstract: A medical data processing method of determining a transformation for determining a breathing state-dependent geometry of an anatomical body part of a patient's body, the method comprising: a) acquiring planning image data describing a set of tomographic medical planning images describing each a different part of the anatomical body part in the same respiratory state called reference planning respiratory state, wherein the anatomical body part is subject to respiratory movement and wherein the planning images comprise a planning image called reference planning image describing a part of the anatomical body part which is called reference planning body part; b) acquiring breathing image data describing a set of tomographic medical breathing images of the anatomical body part, wherein the breathing images comprise a reference breathing image describing the reference planning body part in a respiratory state called reference breathing respiratory state, which is different from the reference planning respiratory state, and a target breathing image describing at least another part of the anatomical body part, wherein the other part of the anatomical body part is called target body part, in a respiratory state called target respiratory state which is different from the reference planning respiratory state; c) determining, based on the planning image data and the breathing image data, reference transformation data describing a transformation, called reference transformation, between the geometry of the reference planning body part in the reference planning respiratory state and the geometry of the reference planning body part in the reference breathing respiratory state; d) acquiring scaling factor data describing a scaling factor which describes a relationship between the geometry of the reference planning body part in the reference breathing respiratory state and the geometry of the target body part in the target respiratory state; e) determining, based on the reference transformation and the scaling factor data, derived transformation data describing a transformation called derived transformation between the geometry of the target body part in the reference planning respiratory state, and the geometry of the target body part in the reference breathing respiratory state.

    Radiotherapy feedback device
    19.
    发明授权

    公开(公告)号:US10143855B2

    公开(公告)日:2018-12-04

    申请号:US15713201

    申请日:2017-09-22

    Applicant: Brainlab AG

    Inventor: Stefan Vilsmeier

    Abstract: A radiotherapy feedback device is provided which provides one of a plurality of indication signals for presentation to a surgeon based on the status of a current surgical procedure. In some aspects, an indication signal is provided to the surgeon if the surgical procedure on an anatomical structure is of sufficient status so as to respond well to subsequent radiotherapy.

    Automatic treatment planning method using retrospective patient data

    公开(公告)号:US09662064B2

    公开(公告)日:2017-05-30

    申请号:US13632499

    申请日:2012-10-01

    Applicant: Brainlab AG

    Inventor: Stefan Vilsmeier

    CPC classification number: A61B5/4842 G06F19/00 G06F19/321 G16H50/70

    Abstract: A data processing method for planning a medical treatment comprising following steps performed by a computer: acquiring reference patient data describing medical information on at least one reference patient including information on progression of the medical constitution of the at least one reference patient; acquiring current patient data describing medical information on a current patient; determining information on the progression of the medical constitution of the current patient based on the reference patient data and the current patient data.

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