Composite Endoscope Image Construction based on Massive Inner Intestine Photos

다량의 내장 사진에 의한 화상 구성

  • Kim, Eun-Joung (Dept. of Computer and Communication Engineering and Research Institute for Computer and Information Communication, Chungbuk National University) ;
  • Yoo, Kwan-Hee (Dept, of Computer Education, Chungbuk National University) ;
  • Yoo, Young-Gap (Dept. of Computer and Communication Engineering and Research Institute for Computer and Information Communication, Chungbuk National University)
  • 김은정 (충북대학교 정보통신학과 컴퓨터정보통신 연구소) ;
  • 유관희 (충북대학교 컴퓨터교육과 정보산업공학과) ;
  • 유영갑 (충북대학교 정보통신학과 컴퓨터정보통신 연구소)
  • Published : 2007.01.25

Abstract

This paper presented an image reconstruction method based on the original capsule endoscopy photos yielding a 2-D image for faster diagnosis proposes. The proposed method constructed a 3-D intestine model using the massive images obtained from the capsule endoscope. It merged all images and completed a 3-D model of an intestine. This 3-D model was reformed as a 2-D plane image showing the inner side of the entire intestine. The proposed image composition was evaluated by the 3-D simulator, OpenGL. This approach was demonstrated successfully. A physician can find the location of a disease at a glance because the composite image provided an easy-to-understand view to show the patient's intestine and thereby shorten diagnosis time.

본 논문은 캡슐 내시경 검사시 진단시간을 줄이기 위해 내시경에서 촬영된 다량의 사진들을 한 장의 이미지로 재구성하는 방법을 제안하였다. 모델링을 단순화하기 위해, 내장을 연속적인 3-D 원통들의 합으로 가정하였다. 제안된 방법은 캡슐 내시경으로부터 촬영된 다량의 사진들을 이용하여 한 장의 2-D 평면 이미지로 재구성한다. 재구성된 이미지를 이용하여 3-D 원통형 모델을 구현하였다. 제안된 이미지 복원 방법은 그래픽 라이브러리인 OpenGL을 사용하여 시뮬레이션 하였다. 재구성된 이미지는 2-D 평면에 전체 내장이 펼쳐진 것과 같은 영상으로 의사들이 넒은 부위의 내장을 한 번에 검사할 수 있어서 빠르게 발병 위치를 확인할 수 있다.

Keywords

References

  1. G. Iddan, G. Meron, A. Glukhovsky, and P. Swain, 'Wireless capsule endoscopy,' Nature, vol. 405, pp. 417-420, May 2000 https://doi.org/10.1038/35013140
  2. G. G. Ginsberg, A. N. Barkun, J. J. Bosco, G. A. Isenberg, C. C. Nguyen, B. T. Petersen, W. B. Silverman, A. Slivka, and G. Taitelbaum, 'Wireless capsule endoscopy,' Gastrointestinal Endoscopy, vol. 56, no. 5, pp. 621-624, Nov. 2002 https://doi.org/10.1016/S0016-5107(02)70106-5
  3. T. B. Tang, E. A. Johannessen, L. Wang, A. Astaras, M. Ahmadian, A. F. Murray, J. M. Cooper, S. P. Beaumont, B. W. Flynn, and D. R. S. Cumming, 'Toward a miniature wireless integrated multisensor microsystem for industrial and biomedical application,' IEEE Sensors Journal, vol. 2, no. 6, pp. 628-635, Dec. 2002 https://doi.org/10.1109/JSEN.2002.807491
  4. M. C. Lin, L, R, Dung, and P. K. Weng, 'An ultra-low-power image compressor for capsule endoscope,' BioMedical Engineering Online, pp. 1-8, Feb. 2006
  5. H. J. Park, J. C. Park, J. H. Lee, Y. K. Moon, B. S. Song, C. H. Won, H. C. Choi, J. T. Lee, and J. H. Cho, 'New method of moving control for wireless endoscopic capsule using electrical stimulus,' Proc. of Int'l Technical Conference onCircuits/Systems, Computers and Comm., pp. 7E1L-1-1-7E1L-1-4, 2004 https://doi.org/10.1093/ietfec/e88-a.6.1476
  6. R. Shahidi, M. R. Bax, C. R. Maurer, J. A. Johnson, E. P. Wilkinson, B. Wang, J. B. West, M. J. Citardi, K. H. Manwaring, and R. Khadem, 'Implementation, calibration and accuracy testing of an image-enhanced endoscopy system,' IEEE Trans. on Medical Imaging, vol. 21, no. 12, pp. 1524-1535, Dec. 2002 https://doi.org/10.1109/TMI.2002.806597
  7. C. Hu, M. Meng, P. X. Liu, and X. Wang, 'Image distortion correction for wireless capsule endoscope,' Proc. IEEE Int'l Conference on Robotics and Automation, pp. 4718-4723, Apr. 2004 https://doi.org/10.1109/ROBOT.2004.1302463
  8. K. V. Asari, S. Kumar, and D. Radhakrishnan, 'A new approach for nonlinear distortion correction in endoscopic images based on least squares estimation,' IEEE Trans. On Medical Imaging, vol. 18, no. 4, pp. 345-354, Apr. 1999 https://doi.org/10.1109/42.768843
  9. B. Kim, S. Lee, J. H. Park, and J. O. Park, 'Design and fabrication of a locomotive mechanism for capsule-type endoscopes using shape memory alloys (SMAs),' IEEE Trans. on Mechatronics, vol. 10, no. 1, pp. 77-86, Feb. 2005 https://doi.org/10.1109/TMECH.2004.842222
  10. S. Pongnumkul, R. Sagawa, T. Echigo, and Y. Yagi, 'Deformable registration for generating dissection image of an intestine from annular image sequence,' CVIBA 2005 LNCS 3765, pp. 271-280, 2005 https://doi.org/10.1007/11569541_28
  11. W. E. Smith, N. Vakil, and S. A. Maislin, 'Correction of distortion in endoscope image,' IEEE Trans. on Medical Imaging, vol. 11, no. 1, pp. 117-122, Mar. 1992 https://doi.org/10.1109/42.126918
  12. R. Mranda-Luna, W. C. P. M. Blondel, C. Daul, Y. Hermandez-Mier, P. Posada, and D. Wolf, 'A simplified method of endoscopic image distortion correction based on grey level registration,' Proc. 2004 Int'l Conf. on Image Processing, pp. 3383-3386, 2004 https://doi.org/10.1109/ICIP.2004.1421840
  13. X. Wang and M. Q. H. Meng, 'Study of a position and orientation tracking method for wireless capsule endoscope,' Int'l Journal of Information Acquisition, vol. 2, no. 2, pp. 113-121, 2005 https://doi.org/10.1142/S0219878905000544
  14. M. Cyrus and J. Back, 'Generalized two-and three-dimensional clipping,' Computer and Graphics, vol. 3, pp. 23-28, 1978 https://doi.org/10.1016/0097-8493(78)90021-3