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US 2019/0167203 A1Published application
Method and apparatus for characterizing an obstacle within an examination object using a medical image data set
AssigneeSiemens Healthcare GmbH
InventorsDominik Paul, Mario Zeller
Life of this patent
Estimating the term…
Abstract
In a method and apparatus for characterizing an obstacle within an examination object using a medical image data set by the use of a database containing at least one data class, a trained artificial neural network defines and develops relationships between different obstacles, features and medical imaging data sets. A data entry of a data class is assigned by the neural network to the obstacle within the examination object and the obstacle within the examination object is characterized in an electronic output by this data entry.
Claims17
A method for characterizing an obstacle within an examination object, comprising:
- providing a computer with a database comprising a data class for a feature that characterizes a plurality of different obstacles, said data class comprising at least one data entry respectively for each of said different obstacles;
- providing said computer with a medical image data set acquired from an examination object comprising an obstacle therein;
- providing said computer with a trained artificial neural network that defines and develops relationships between said different obstacles, said feature, and contents of an input medical image data set;
- in said computer, applying said trained artificial network to said acquired medical image data set by using the acquired medical image data set as said input medical image data set, and thereby determining a property of said obstacle in said examination object and assigning a data entry from said data class to said obstacle in the examination object, so that said obstacle within the examination object is characterized by the assigned data entry;
- and
- providing an electronic signal as an output from said computer that represents the obstacle characterized by the assigned data entry.
3 more elements
A computer for characterizing an obstacle within an examination object, said computer comprising:
- a processor configured to access a database comprising a data class for a feature that characterizes a plurality of different obstacles, said data class comprising at least one data entry respectively for each of said different obstacles;
- an input that receives into said processor a medical image data set acquired from an examination object comprising an obstacle therein;
- a trained artificial neural network that defines and develops relationships between said different obstacles, said feature, and contents of an input medical image data set;
- said processor configured to apply said trained artificial network to said acquired medical image data set by using the acquired medical image data set as said input medical image data set, and thereby determine a property of said obstacle in said examination object and assign a data entry from said data class to said obstacle in the examination object, so that said obstacle within the examination object is characterized by the assigned data entry;
- and
- an output which said processor provides an electronic signal as an output that represents the obstacle characterized by the assigned data entry.
3 more elements
A medical imaging apparatus comprising:
- a medical image data acquisition scanner;
- a computer provided with a database comprising a data class for a feature that characterizes a plurality of different obstacles, said data class comprising at least one data entry respectively for each of said different obstacles;
- said computer being configured to operate the medical image data acquisition scanner so as to acquire a medical image data set from an examination object comprising an obstacle therein;
- said computer comprising a trained artificial neural network that defines and develops relationships between said different obstacles, said feature, and contents of an input medical image data set;
- said computer being configured to apply said trained artificial network to said acquired medical image data set by using the acquired medical image data set as said input medical image data set, and thereby determine a property of said obstacle in said examination object and assign a data entry from said data class to said obstacle in the examination object, so that said obstacle within the examination object is characterized by the assigned data entry;
- said computer being configured to provide an electronic signal as an output from said computer that represents the obstacle characterized by the assigned data entry;
- and
- said computer being configured to select, based on the determined property of the obstacle, a method for acquiring a further medical image data set from said examination object containing said obstacle, and to operate said medical image data acquisition scanner according to the selected method, in order to acquire said further medical image data set from said examination object containing said obstacle.
5 more elements
A non-transitory, computer-readable data storage medium encoded with programming instructions, said storage medium being loaded into a computer and said programming instructions causing said computer to:
- access a database comprising a data class for a feature that characterizes a plurality of different obstacles, said data class comprising at least one data entry respectively for each of said different obstacles;
- receive a medical image data set acquired from an examination object comprising an obstacle therein;
- access a trained artificial neural network that defines and develops relationships between said different obstacles, said feature, and contents of an input medical image data set;
- apply said trained artificial network to said acquired medical image data set by using the acquired medical image data set as said input medical image data set, and thereby determine a property of said obstacle in said examination object and assign a data entry from said data class to said obstacle in the examination object, so that said obstacle within the examination object is characterized by the assigned data entry;
- and
- provide an electronic signal as an output from said computer that represents the obstacle characterized by the assigned data entry.
3 more elements
Dependencies are inferred from the claim text.