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1. (WO2019025332) DEVICE AND METHOD FOR DETECTING MISUSE OF A MEDICAL IMAGING SYSTEM
Note: Text based on automatic Optical Character Recognition processes. Please use the PDF version for legal matters

CLAIMS:

1. A device (10) for detecting a misuse of a medical imaging system (20), comprising:

a data interface (12) for acquiring medical image data (24) and audit log data (26) from the medical imaging system (20);

- a processing unit (14) which is configured to analyse the medical image data

(24) to determine whether or not a part of a fetus is imaged in the medical image data (24), to compare the medical image data (24) and the audit log data (26) with each other if it is determined that a part of a fetus is imaged in the medical image data (24), and to determine based on said comparison whether there is a mismatch between the medical image data (24) and the audit log data (26); and

a feedback unit (16) which is configured to generate a misuse alert signal if a mismatch is detected by the processing unit (14).

2. The device according to claim 1, wherein the audit log data is a data set of records that provides documentary evidence of a sequence of activities performed on and with the medical imaging system, the audit log data comprising information about at least one of the following: when was the medical imaging system used, for how long was the medical imaging system used, for what was the medical imaging system used, and by whom was the medical imaging system used

3. The device according to claim 1, wherein the processing unit (14) is configured to determine based on said comparison at least one of the following:

(i) if one of medical images indicated in the audit log data as being recorded is missing in the medical image data;

(ii) if there is a mismatch between an image type indicated in the audit log data and an image type of the medical images contained in the medical image data;

(iii) if there is mismatch between a user identification indicated in the audit log data and a user identification indicated in the medical image data;

(iv) if there is a mismatch in an activity type indicated in the audit log data and an activity type indicated in the medical image data;

(v) if there is a mismatch between a focus with which an image indicated in the audit log data has been acquired and a focus with which the image indicated in the medical image data has been acquired;

(vi) if there is a mismatch between an operating frequency with which an image indicated in the audit log data has been acquired and an operating frequency with which the image indicated in the medical image data has been acquired;

(vii) if there is a mismatch between a recording time indicated in the audit log data and a recording time indicated in the medical image data; and

(viii) if there is a mismatch between a file size of an image indicated in the audit log data and a file size of the image indicated in the medical image data.

4. The device according to claim 1, wherein the processing unit (14) is configured to determine whether or not a part of a fetus is imaged in the medical image data (24) based on a feature-based algorithm.

5. The device according to claim 1, wherein the processing unit (14) is configured to determine whether or not a part of a fetus is imaged in the medical image data (24) using a deep learning neural network.

6. The device according to claim 5, wherein the deep learning neural network is a convolutional neural network.

7. The device according to claim 6, wherein the convolutional neural network comprises a plurality of layers and sub-layers.

8. The device according to claim 1, wherein the data interface (12) is configured to acquire the medical image data (24) via a first data channel (22a) and to acquire the audit log data (26) via a second data channel (22b) that is different from the first data channel (22a).

9. The device according to claim 1, wherein the data interface (12) is configured to further acquire an uptime of the medical imaging system (20), and wherein the processing unit (14) is configured to compare the medical image data (24) and/or the audit log data (26) to the uptime of the medical imaging system (20).

10. The device according to claim 1, wherein the processing unit (14) is configured to detect a predetermined misuse pattern to determine based on said comparison whether there is a mismatch between the medical image data (24) and the audit log data (26).

11. The device according to claim 1 , wherein generating the misuse alert signal comprises sending an electronic message to a server (28) that is connected to the device (10) via a data network.

12. The device according to claim 1, wherein generating the misuse alert signal comprises generating a report and saving the report in a memory or cloud (30).

13. The device according to claim 1, wherein the device (10) is a mobile computing device which is connected to the medical imaging system via a hard- wired or wireless connection.

14. A method for detecting a misuse of a medical imaging system (20), comprising the steps of:

acquiring medical image data (24) and audit log data (26) from the medical imaging system (20);

analysing the medical image data (24) to determine whether or not a part of a fetus is imaged in the medical image data (24);

- comparing the medical image data (24) and the audit log data (26) with each other if it is determined that a part of a fetus is imaged in the medical image data (24);

determining based on said comparison whether there is a mismatch between the medical image data (24) and the audit log data (26); and

generating a misuse alert signal if a mismatch is detected.

15. Computer program comprising program code means for causing a computer to carry out the steps of the method as claimed in claim 14 when said computer program is carried out on a computer.