Dual-mode endoscopic capsule with image processing capabilities
An endoscopic capsule comprising first and second imaging systems, wherein the first imaging system is arranged for obtaining images at a broader spectral range than the second imaging system, the capsule comprising a processor, the capsule arranged for operating in any one of a first mode wherein a frame rate of the first imaging system exceeds a frame rate of the second imaging system, and a second mode wherein the frame rate of the second imaging system exceeds the frame rate of the second imaging system in the first mode, wherein the processor in the first mode is arranged for accessing one or more images from the first imaging system, detecting if there is a polyp in said one or more images, and switching from the first mode to the second mode if a polyp is detected in the one or more images from the first imaging system.
1. An endoscopic capsule ( 100 ) comprising:
a first imaging system ( 101 , 110 , 112 ),
a second imaging system ( 102 , 110 , 112 ), wherein the first imaging system is arranged for obtaining images at a broader spectral range than the second imaging system, and
a processor ( 114 ), wherein the endoscopic capsule is arranged for operating in any one of:
a first mode wherein a frame rate of the first imaging system ( 101 , 110 , 112 ) is higher than a frame rate of the second imaging system ( 102 , 110 , 112 ), and
a second mode wherein the frame rate of the second imaging system is higher than the frame rate of the second imaging system in the first mode, wherein the processor ( 114 ) in the first mode is arranged for:
accessing one or more images from the first imaging system ( 101 , 110 , 112 ),
detecting if there is a polyp ( 104 ) in the one or more images from the first imaging system ( 101 , 110 , 112 ), and
switching from the first mode to the second mode if a polyp ( 104 ) is detected, by a machine learning algorithm employed in the processor, in the one or more images from the first imaging system ( 101 , 110 , 112 ).
2. The endoscopic capsule ( 100 ) according to claim 1 , wherein the endoscopic capsule ( 100 ) is further arranged for transmitting images outside the endoscopic capsule from the first and/or second mode, wherein a polyp ( 104 ) is detected.
3. The endoscopic capsule ( 100 ) according to claim 1 , wherein the first imaging system ( 101 , 110 , 112 ) is a white light imaging system.
4. The endoscopic capsule ( 100 ) according to claim 1 , wherein the second imaging system ( 102 , 110 , 112 ) is a narrowband imaging system.
5. The endoscopic capsule ( 100 ) according to claim 1 , further comprising one or more illumination systems ( 101 , 102 ).
6. The endoscopic capsule ( 100 ) according to claim 1 , comprising one or more illumination systems ( 101 , 102 ), said illumination systems comprising a white light source and a narrowband imaging source.
7. The endoscopic capsule ( 100 ) according to claim 1 , comprising one or more illumination systems ( 101 , 102 ), said illumination systems comprising 6 light emitting diodes including 2 white light emitting diode, 2 green light emitting diodes, and 2 blue light emitting diodes.
8. The endoscopic capsule ( 100 ) according to claim 1 , wherein the endoscopic capsule ( 100 ) further comprises a receiver for receiving machine learning algorithms from outside the endoscopic capsule, for detecting if there is a pathology in an image obtained in the one or more images from the first imaging system.
9. The endoscopic capsule ( 100 ) according to claim 1 , wherein the endoscopic capsule is arranged so that a period of time covering:
obtaining with the first imaging system an image with a polyp,
detection of a polyp in the image with the polyp,
switching from the first mode to the second mode due to the detection of the polyp in the image with the polyp, and
obtaining with the second imaging system an image,
is equal to or less than 10 seconds.
10. The endoscopic capsule ( 100 ) according to claim 1 , wherein the processor in the second mode is arranged for:
accessing one or more images from the first imaging system and/or the second imaging system, detecting and/or confirming if there is a polyp in the one or more images from the first imaging system and/or the second imaging system, and
the processor is furthermore arranged for switching from the second mode to the first mode if a polyp is not detected in the one or more images from the first imaging system.
11. The endoscopic capsule ( 100 ) according to claim 1 , wherein the endoscopic capsule is also arranged for quantifying bowel cleanliness.
12. A kit comprising:
the endoscopic capsule ( 100 ) according to claim 1 ,
an optional transmitter for transmitting one or more instructions, said instructions comprising a machine learning algorithms to the endoscopic capsule, and
a receiver with one or more antennas arranged for receiving images from said endoscopic capsule.
13. A system comprising:
the endoscopic capsule ( 100 ) according to claim 1 ,
an optional database of machine learning algorithms suitable for transmitting one or more machine learning algorithms to the endoscopic capsules, and
a database suitable for storing images obtained in the second mode.
14. A method ( 230 ) of operating a swallowed endoscopic capsule ( 100 ), according to claim 1 , wherein said method comprises:
operating ( 231 ) the endoscopic capsule in the first mode,
obtaining ( 232 ) one or more images ( 233 ) with the first imaging system ( 101 , 110 , 112 ),
accessing ( 234 ) with the processor the one or more images ( 233 ) from the first imaging system ( 101 , 110 , 112 ),
detecting ( 236 ) if there is a polyp ( 104 ) in the one or more images from the first imaging system ( 101 , 110 , 112 ),
switching ( 238 ) from the first mode to the second mode if a polyp ( 104 ) is detected in the one or more images from the first imaging system ( 101 , 110 , 112 ).
15. The method of operating the endoscopic capsule ( 100 ) according to claim 14 , wherein the method further comprises:
operating ( 238 ) the endoscopic capsule in the second mode,
obtaining ( 240 ) one or more images ( 242 ) with the first imaging system,
accessing ( 244 ) with the processor the one or more images ( 242 ) from the first imaging system,
detecting ( 246 ) if there is a polyp ( 104 ) in the one or more images from the first imaging system, and
switching ( 248 ) from the second mode to the first mode if a polyp ( 104 ) is not detected in the one or more images from the first imaging system.
16. The method of operating the endoscopic capsule ( 100 ) according to claim 14 , wherein the method further comprises,
operating ( 238 ) the endoscopic capsule ( 100 ) in the second mode,
obtaining ( 240 ) one or more images with the second imaging system ( 102 , 110 , 112 ), and
transmitting one or more images obtained in the second mode to a database.
17. The method of operating an endoscopic capsule ( 100 ) according to claim 14 , wherein the method further comprises transmitting one or more instructions, said instructions comprising one or more machine learning algorithms, to the endoscopic capsule ( 100 ) before:
operating ( 231 ) the endoscopic capsule in the first mode,
obtaining ( 232 ) one or more images ( 233 ) with the first imaging system ( 101 , 110 , 112 ),
accessing ( 234 ) with the processor the one or more images ( 233 ) from the first imaging system ( 101 , 110 , 112 ),
detecting ( 236 ) if there is a polyp ( 104 ) in the one or more images from the first imaging system ( 101 , 110 , 112 ), and
switching ( 238 ) from the first mode to the second mode if a polyp ( 104 ) is detected in the one or more images from the first imaging system ( 101 , 110 , 112 ).
18. A use of the endoscopic capsule ( 100 ) according to claim 1 , comprising obtaining a set of a plurality of images from any of the first and the second image systems and/or first and second modes and optionally transmitting a subset of said set of the plurality of images.