Medical image processing system for detecting failure and method for operating the same

1 . A medical image processing system comprising:

an external device having a processor, the external device being separate from and not included in an endoscope system; and

the endoscope system,

wherein the processor is configured to:

acquire a real-time medical video image from the endoscope system during endoscopy;

receive a trigger signal from the endoscope system, the trigger signal including information regarding failure occurrence created based on a failure scene of the medical video image, the trigger signal being transmitted via a trigger transmission line separate from a video image transmission line, and being generated in a processor device of the endoscope system by failure detection processing that classifies frame images of the medical video image and specifies the failure scene composed of one or more failure frame images indicating a failure of endoscope equipment;

temporarily store the medical video image in a temporary storage region;

extract a failure video image having the failure scene from the temporarily stored medical video image based on a reception timing of the trigger signal, the failure video image including scenes chronologically before and after the reception timing; and

store the failure video image in a main storage region distinct from the temporary storage region, the main storage region comprising non-volatile storage.

2 . The medical image processing system according to claim 1 ,

wherein the processor is configured to:

determine a start timing of the extraction based on the reception timing; and

extract the failure video image including scenes before and after the reception timing in time series, from the medical video image.

3 . The medical image processing system according to claim 1 ,

wherein the processor is configured to:

set a restriction period of the trigger signal after the reception of the trigger signal; and

not start the extraction in a case where the trigger signal is received in the restriction period.

4 . The medical image processing system according to claim 1 ,

wherein the processor is configured to set an upper limit number for the number of executions of the extraction.

5 . The medical image processing system according to claim 1 ,

wherein the processor is configured to:

temporarily store the failure video image; and

sort the failure video image to be stored.

6 . The medical image processing system according to claim 5 ,

wherein the processor is configured to perform the sorting based on a type of failure and an order of the reception timing.

7 . The medical image processing system according to claim 5 ,

wherein the processor is configured to:

calculate an importance of the failure video image based on the information regarding the failure occurrence; and

perform the sorting based on the importance.

8 . The medical image processing system according to claim 7 ,

wherein the processor is configured to calculate the importance based on visibility of failure or a degree of seriousness of failure.

9 . The medical image processing system according to claim 7 ,

wherein the processor is configured to calculate the importance based on a type of an endoscope.

10 . The medical image processing system according to claim 5 ,

wherein the processor is configured to perform the sorting of the temporarily stored failure video image and the failure video image newly created by the extraction in an either-or format.

11 . The medical image processing system according to claim 1 ,

wherein the processor is configured to perform processing at the extraction such that deletion or browsing of personal information included in image information of the medical video image is disabled.

12 . The medical image processing system according to claim 1 ,

wherein the processor is configured to temporarily store the medical video image in a non-volatile memory.

13 . The medical image processing system according to claim 12 ,

wherein the processor is configured to sort the failure video image temporarily stored in the non-volatile memory regardless of an end status of the endoscopy.

14 . The medical image processing system according to claim 12 ,

wherein the processor is configured to:

set a different identifier to each failure video image at the extraction of the failure video image;

confirm the identifier of the failure video image stored in the main storage region; and

delete the failure video image having the same identifier as the confirmed identifier from the non-volatile memory.

15 . A method for operating a medical image processing system that includes an external device having a processor, the external device being separate from and not included in an endoscope system, and the endoscope system, the method comprising:

a step of acquiring a real-time medical video image from the endoscope system during endoscopy;

a step of receiving a trigger signal from the endoscope system, the trigger signal including information regarding failure occurrence created based on a failure scene of the medical video image, the trigger signal being transmitted via a trigger transmission line separate from a video image transmission line, and being generated in a processor device of the endoscope system by failure detection processing that classifies frame images of the medical video image and specifies the failure scene composed of one or more failure frame images indicating a failure of endoscope equipment;

a step of temporarily storing the medical video image in a temporary storage region;

a step of extracting a failure video image having the failure scene from the temporarily stored medical video image based on a reception timing of the trigger signal, the failure video image including scenes chronologically before and after the reception timing; and

a step of storing the failure video image in a main storage region distinct from the temporary storage region, the main storage region comprising non-volatile storage.