DOSE PLANNING SYSTEM
    2.
    发明申请

    公开(公告)号:US20180153619A1

    公开(公告)日:2018-06-07

    申请号:US15572840

    申请日:2016-06-10

    摘要: It is an object of the invention to improve treatment planning. This object is achieved by a dose planning system comprising a biopsy map creation module configured for receiving biopsy information for an organ of interest regarding biopsy locations and tissue characteristics of tissue found at the biopsy locations, wherein the biopsy map creation module is further configured for creating a spatially annotated biopsy map for the organ, by linking the spatial information on the biopsy locations to the tissue characteristics of tissue found at the corresponding biopsy locations. The dose planning system further comprises a probability map calculation module configured for creating a tumour probability map by calculating a tumour probability for locations in the organ from which no biopsy was taken by using the tumour and/or tissue characteristics from the biopsy locations and a dose planning module configured for creating a dose plan based on the tumour probability map, wherein planning constraints are such that on average a higher tumour probability results in a higher planned dose and a lower tumour probability results in a lower planned dose.

    Calibration of image-registration based tracking procedures

    公开(公告)号:US11423553B2

    公开(公告)日:2022-08-23

    申请号:US16763124

    申请日:2018-11-05

    摘要: The invention relates to a system and method for tracking at least one anatomic structure by means of an image-registration based tracking procedure using at least one parameter, where the anatomic structure includes a plurality of implanted markers. A parameter setting (6, 7) unit is configured to determine measured positions of the implanted markers in each image of a series of images acquired using an imaging unit (1), and to perform an optimization procedure to determine an optimized value of the at least one parameter on the basis of deviations between the measured and calculated positions. Then, the position of the anatomic structure is tracked in further images by means of the tracking procedure using the optimized value of the at least one parameter.

    EVALUATING INPUT DATA USING A DEEP LEARNING ALGORITHM

    公开(公告)号:US20200251224A1

    公开(公告)日:2020-08-06

    申请号:US16648719

    申请日:2018-09-10

    摘要: The invention provides a method for evaluating a set of input data, the input data comprising at least one of: clinical data of a subject; genomic data of a subject; clinical data of a plurality of subjects; and genomic data of a plurality of subjects, using a deep learning algorithm. The method includes obtaining a set of input data, wherein the set of input data comprises raw data arranged into a plurality of data clusters and tuning the deep learning algorithm based on the plurality of data clusters. The deep learning algorithm comprises: an input layer; an output layer; and a plurality of hidden layers. The method further includes performing stabstical clustering on the raw data using the deep learning algorithm, thereby generating statistical clusters and obtaining a marker from each statistical cluster. Finally, the set of input data is evaluated based on the markers to derive data of medical relevance in respect of the subject or subjects.

    ULTRASOUND IMAGING SYSTEM AND METHOD
    10.
    发明申请

    公开(公告)号:US20190336110A1

    公开(公告)日:2019-11-07

    申请号:US16349447

    申请日:2017-11-24

    IPC分类号: A61B8/08 A61B8/00

    摘要: The present invention relates to an ultrasound imaging system (100) for producing spatially compounded 3D ultrasound image data, comprising: —an ultrasound acquisition unit (16) for acquiring a plurality of 3D ultrasound image data having different but at least partially overlapping field of views, —a tracking unit (62) adapted to determine a relative spatial position of each of 5 the plurality of 3D ultrasound image data with respect to each other, and —a stitching unit (64) adapted to compound the plurality of 3D ultrasound image data by stitching them to each other in order to generate compounded 3D ultrasound image data, wherein the stitching unit (64) is adapted to calculate a stitching order of the plurality of 3D ultrasound image data based on the determined relative spatial position of the 3D 10 ultrasound image data by minimizing an overlapping area of the different field of views of the plurality of 3D ultrasound image data, and wherein stitching unit (64) is adapted to stitch the plurality of 3D ultrasound image data according to said stitching order.