Method and device for automatic motion detection in medical image-series
AssigneeSiemens Healthcare GmbH
InventorsJens Wetzl, Seung Su Yoon, Christoph Forman, Michaela Schmidt, Elisabeth Hoppe
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Abstract
In a method for automatic motion detection in medical image-series, a dataset of a series of images is provided. The images can be of a similar region of interest that are recorded at consecutive points of time. The method can further include localizing a target in the images of the dataset and calculating a position of the target in the images to calculate localization data of the target, and calculating movement data of a movement of the target of temporal adjacent images of the images based on the localization data.
Claims20
A method for automatic motion detection in medical image-series, comprising:
- providing a dataset of a series of images, the images being of a similar region of interest that are recorded at consecutive points of time;
- localizing, using a localizer that is a first deep neural network, a target in the images of the dataset and calculating a position of the target in the images to calculate localization data of the target;
- and
- calculating, using a motion detector that is a second deep neural network, movement data of a movement of the target of temporal adjacent images of the images based on the localization data, wherein the first deep neural network of the localizer and the second deep neural network of the motion detector are formed as chained deep neural networks.
A system for automatic motion detection in medical image-series, the system comprising:
- a data interface configured to receive a dataset of a series of images of a similar region of interest that are recorded at consecutive points of time;
- a localizer that is a first deep neural network and configured to localize a target in the images of the dataset to calculate localization data of the target, and calculate a position of the target in the images;
- and
- a motion detector that is a second deep neural network and configured to calculate movement data of a movement of the target of temporal adjacent images of the images based on the localization data, wherein the first deep neural network of the and the second deep neural network of the motion detector are formed as chained deep neural networks.
A medical imaging system comprising:
- a medical image scanner;
- and
- a controller comprising a localizer that is a first deep neural network and a motion detector that is a second deep network, the controller being configured to:
- generate a dataset of a series of images, the images being of a similar region of interest that are recorded at consecutive points of time;
- localize, using the first deep neural network of the localizer, a target in the images of the dataset and calculating a position of the target in the images to calculate localization data of the target;
- and
- calculate, using the second deep neural network of the motion detector, movement data of a movement of the target of temporal adjacent images of the images based on the localization data, wherein the first deep neural network of the localizer and the second deep neural network of the motion detector are formed as chained deep neural networks.
Dependencies are inferred from the claim text.