A Flexible FOV Capsule Endoscope Design Based on Compound Lens

Tseng, Yeu-Yang; Han, Pin; Hsu, Hsun-Ching

doi:10.1109/jdt.2016.2615681

Cited by 4 publications

(3 citation statements)

References 11 publications

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“…The optical fibers are densely arranged on the curved compound eye shell, which provides a broad field of view for the system and avoids the incompleteness of spatial information. The other end of the optical fiber is gathered on the optical fiber integrated board through the optical fiber close-packing technology, 31,32 and is connected to the image detector. The arrangement position of the optical fiber on the integrated board is directly projected by the sub-eye hole position on the curved surface shell, which corresponds to the position of the sub-eye on the curved surface one by one, so as to avoid any confusion when collecting spatial information.…”

Section: Conceptual Designmentioning

confidence: 99%

Development of neural‐network‐based stereo bionic compound eyes with fiber bundles

Chen

Zhao

et al. 2022

Concurrency and Computation

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The compound eye system has many unique advantages, enabling organisms to quickly and accurately obtain the three-dimensional spatial information of the target. Therefore, its bionic applications have great potential in object localization, dynamic tracking, and 3D reconstruction. However, the current bionic compound eye systems still have great difficulties in target detection. Most of the bionic compound eye systems only verify the possibility of three-dimensional (3D) detection, and there is no suitable calibration and detection scheme. In this article, a fiber-optic stereo bionic compound eye is designed, and a simple and rapid calibration method suitable for this system is selected by comparing two effective optical information. Further, the system quantitatively analyzes the detection performance of the target to achieve precise positioning and dynamic trajectory tracking. In the static detection experiment, the average detection errors of the 3D position at the horizontal angle, the elevation angle and the depth are 0.33 • , 0.32 • and 1.84 mm, respectively. In the dynamic trajectory tracking experiment, the circle radius errors in the X-Z plane and Y-Z plane are 0.04 and 2.20 mm, respectively. The proposed system provides a new perspective to understand the nature of the compound eye. K E Y W O R D Sbionic compound eyes 1 , dynamic track tracking 4 , neural network 5 , stereo vision system 2 , three-dimensional detection 3 INTRODUCTIONAs a natural multi-aperture optical system, due to its special physiological structure, 1,2 the compound eyes have the characteristics of small size, high integration, large field of view, 3 high resolution rate, and sensitivity to moving objects. 4 So, it has great advantages in three-dimensional (3D) target detection. The bionic compound eyes are mainly divided into planar compound eye 5-13 and curved compound eye. [14][15][16][17][18][19][20][21] The planar compound eye is small in size and has a fast response, but is limited by the range of the field of view (FOV). The curved compound eye is the closest to the biological compound eye in terms of structure and performance, and it is also the main design idea at present. However, it is difficult to acquire accurate and distortion-free optical images in a large field of view. The nature is very mysterious, the computation principle [22][23][24][25][26][27] of the compound eye is an interesting topic.Research on object detection from existing bionic compound eye shows that such a vision system has the potential for at least qualitative object detection. Richard Hornsey's team proposed a DragonflEye system based on fiber bundle coupling, and realized the tracking of planar target through vanishing point and Z-translation image center calibration techniques. 18,19 The method has a complex structure and is difficult to manufacture, though it does not require calibration of a single sub-eye and has high detection accuracy. Song et al. explored the possibility of orientation and dis-

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Section: Conceptual Designmentioning

confidence: 99%

Development of neural‐network‐based stereo bionic compound eyes with fiber bundles

Chen

Zhao

et al. 2022

Concurrency and Computation

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“…Various approaches have been explored to improve the surgeon's awareness of the surroundings of the surgical scene, including panomorph lenses [10], optical prisms [11], enhanced multiple lenses [12], and panoramic views [13]. Alternatively, some groups have proposed increasing the field of view using distributed vision systems (either with multiple individual cameras or two to three stereoscopy systems) [14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Enhanced Laparoscopic Vision Improves Detection of Intraoperative Adverse Events During Laparoscopy

Trilling

Vijayan

Goupil

et al. 2022

IRBM

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Background: The absence of visibility of the entire surgical scene in laparoscopic surgery can lead to unforeseen intraoperative complications. An Enhanced Laparoscopy Vision System (ELViS) was developed to eliminate the blind spots of the traditional endoscope by providing a broad view of the surgical scene from a distance, thanks to two additional images. This study assessed whether the broad view provided by the Enhanced Laparoscopic Vision (ELV) helped the surgeon to detect and react to an unexpected intraoperative adverse event (simulated hemorrhage) occurring while performing a standard task.Methods: While participants were performing a standard task (sorting pins) on a dry lab laparoscopic simulator with or without ELV, a simulated bleeding (LED lighting) was randomly triggered. Perprocedure metrics were recorded and surgeons' feedback gathered at the end of the session.Results: Thirteen Senior surgeons participated. Mean response time was significantly reduced when using ELV, with a similar number of simulated bleeding events between both modalities. All surgeons agreed that ELV could be helpful and constitutes an acceptable increase in cognitive load. Conclusion:In a dry lab setup, compared to traditional endoscopy, the broader field of view provided by ELV improved outcomes when dealing with unforeseen complications like bleeding.

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“…The most recent development of imaging devices could potentially improve the FoV and performances of the surgical vision systems. For example, it has been proven that attaching specially designed compound lenses to the front end of an endoscope results in a large FoV and zoom capability [ 14 , 15 ]. Optical beam scanning methods are also promising to increase the FoV of the endoscopic imaging systems [ 16 , 17 ].…”

Section: Introductionmentioning

confidence: 99%

Large-Field-of-View Visualization Utilizing Multiple Miniaturized Cameras for Laparoscopic Surgery

et al. 2018

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The quality and the extent of intra-abdominal visualization are critical to a laparoscopic procedure. Currently, a single laparoscope is inserted into one of the laparoscopic ports to provide intra-abdominal visualization. The extent of this field of view (FoV) is rather restricted and may limit efficiency and the range of operations. Here we report a trocar-camera assembly (TCA) that promises a large FoV, and improved efficiency and range of operations. A video stitching program processes video data from multiple miniature cameras and combines these videos in real-time. This stitched video is then displayed on an operating monitor with a much larger FoV than that of a single camera. In addition, we successfully performed a standard and a modified bean drop task, without any distortion, in a simulator box by using the TCA and taking advantage of its FoV which is larger than that of the current laparoscopic cameras. We successfully demonstrated its improved efficiency and range of operations. The TCA frees up a surgical port and potentially eliminates the need of physical maneuvering of the laparoscopic camera, operated by an assistant.

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A Flexible FOV Capsule Endoscope Design Based on Compound Lens

Cited by 4 publications

References 11 publications

Development of neural‐network‐based stereo bionic compound eyes with fiber bundles

Development of neural‐network‐based stereo bionic compound eyes with fiber bundles

Enhanced Laparoscopic Vision Improves Detection of Intraoperative Adverse Events During Laparoscopy

Large-Field-of-View Visualization Utilizing Multiple Miniaturized Cameras for Laparoscopic Surgery

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