Method and device for monitoring an interventional procedure

1 . A method for monitoring an interventional procedure that is carried out using an artificial object, the method comprising:

acquiring, by an acquisition device, at least one image of the interventional procedure;

automatically analyzing the at least one image with regard to a specified anomalous feature relating to a geometry, a time-dependent movement parameter, a flow behavior, or any combination thereof of the artificial object;

automatically generating a complication signal only when the specified anomalous feature is detected in the at least one image; and

carrying out a plausibility check,

wherein the complication signal is automatically generated only when analysis data from the automatically analyzing of the at least one image matches corresponding data from a data source other than a source of the at least one image, and

wherein the data source comprises a log data source that makes live logs available, one or more sensors, or any combination thereof.

2 . The method of claim 1 , wherein the specified anomalous feature relates to a curvature, a loop structure, or a waviness of the artificial object, and the specified anomalous feature is detected only when the geometry of the artificial object deviates from reference data with regard to a specified object geometry.

3 . The method of claim 2 , wherein the reference data is obtained by artificial learning.

4 . The method of claim 1 , wherein the specified anomalous feature relates to a speed, an acceleration, or a jerking of the artificial object, and the specified anomalous feature is detected only when the speed, the acceleration, or the jerking deviates from specified reference data.

5 . The method of claim 1 , wherein the artificial object is an instrument, the specified anomalous feature relates to a speed of a tip of the instrument with which the interventional procedure is being carried out, and the specified anomalous feature is detected only when a movement of the tip of the instrument used in the interventional procedure does not correlate as specified with reference data relating to a robotic movement for guiding the instrument.

6 . The method of claim 1 , wherein the artificial object is an instrument, the specified anomalous feature relates to incomplete deployment of the instrument in a patient in whom the interventional procedure is being carried out, and the specified anomalous feature is detected only when a shape of the instrument deviates from specified reference data.

7 . The method of claim 1 , wherein the artificial object is a contrast agent, the specified anomalous feature relates to contrast medium flow, and the specified anomalous feature is detected only when a pattern of the contrast medium flow deviates from specified reference data.

8 . The method of claim 1 , wherein the artificial object is automatically detected in the at least one image.

9 . The method of claim 1 , wherein the interventional procedure takes place in a treatment room of a building, and

wherein the method further comprises transmitting the at least one image and the complication signal into a monitoring room other than the treatment room.

10 . The method of claim 9 , wherein the interventional procedure in the treatment room is remote-controlled by a person in the monitoring room.

11 . The method of claim 9 , wherein at least one further interventional procedure takes place in a further treatment room, and

wherein the method further comprises transmitting, from the further treatment room, in each case at least one image and a respective complication signal into the monitoring room.

12 . The method of claim 1 , wherein the one or more sensors includes a camera, a sensor associated with a robotic system, or the camera and the sensor associated with the robotic system.

13 . A device for monitoring an interventional procedure, the device comprising:

an acquisition device configured to acquire at least one image of the interventional procedure;

an analysis device configured to automatically analyze the at least one image with regard to a specified anomalous feature relating to a geometry, a time-dependent movement parameter, a flow behavior, or any combination thereof of an artificial object; and

a signal generator configured to;

automatically generate a complication signal only when the specified anomalous feature is detected in the at least one image; and

carry out a plausibility check,

wherein the complication signal is automatically generated only when analysis data from the automatic analysis of the at least one image matches corresponding data from a data source other than the acquisition device, and

wherein the data source comprises a log data source that makes live logs available, one or more sensors, or any combination thereof.

14 . The device of claim 13 , wherein the one or more sensors includes a camera, a sensor associated with a robotic system, or the camera and the sensor associated with the robotic system.

15 . A non-transitory computer-readable storage medium that stores instructions executable by one or more processors to monitor an interventional procedure that is carried out using an artificial object, the instructions comprising:

acquiring, by an acquisition device, at least one image of the interventional procedure;

automatically analyzing the at least one image with regard to a specified anomalous feature relating to a geometry, a time-dependent movement parameter, a flow behavior, or any combination thereof of the artificial object;

automatically generating a complication signal only when the specified anomalous feature is detected in the at least one image; and

carrying out a plausibility check,

wherein the complication signal is automatically generated only when analysis data from the automatically analyzing of the at least one image matches corresponding data from a data source other than a source of the at least one image, and

wherein the data source comprises a log data source that makes live logs available, one or more sensors, or any combination thereof.

16 . The non-transitory computer-readable storage medium of claim 15 , wherein the specified anomalous feature relates to a curvature, a loop structure, or a waviness of the artificial object, and the specified anomalous feature is detected only when the geometry of the artificial object deviates from reference data with regard to a specified object geometry.

17 . The non-transitory computer-readable storage medium of claim 15 , wherein the specified anomalous feature relates to a speed, an acceleration, or a jerking of the artificial object, and the specified anomalous feature is detected only when the speed, the acceleration, or the jerking deviates from specified reference data.

18 . The non-transitory computer-readable storage medium of claim 15 , wherein the artificial object is an instrument, the specified anomalous feature relates to a speed of a tip of the instrument with which the interventional procedure is being carried out, and the specified anomalous feature is detected only when a movement of the tip of the instrument used in the interventional procedure does not correlate as specified with reference data relating to a robotic movement for guiding the instrument.

19 . The non-transitory computer-readable storage medium of claim 15 , wherein the artificial object is an instrument, the specified anomalous feature relates to incomplete deployment of the instrument in a patient in whom the interventional procedure is being carried out, and the specified anomalous feature is detected only when a shape of the instrument deviates from specified reference data.

20 . The non-transitory computer-readable storage medium of claim 15 , wherein the one or more sensors includes a camera, a sensor associated with a robotic system, or the camera and the sensor associated with the robotic system.