다량의 내장 사진에 의한 화상 구성 = Composite Endoscope Image Construction based on Massive Inner Intestine Photos

다국어 초록 (Multilingual 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.

국문 초록 (Abstract)

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.

참고문헌 (Reference)

1 "Wireless capsule endoscopy" 405 : 417-420, May2000

2 "Wireless capsule endoscopy" 56 (56): 621-624, Nov.2002

3 "Toward a miniature wireless integrated multisensor microsystem for industrial and biomedical application" 2 (2): 628-635, Dec.2002

4 "Study of a position and orientation tracking method for wireless capsule endoscope" 2 (2): 113-121, 2005

5 "New method of moving control for wireless endoscopic capsule using electrical stimulus" 7E1L-1-1-7E1L-1-4, 2004

6 "Implementation, calibration and accuracy testing of an image-enhanced endoscopy system" 21 (21): 1524-1535, Dec.2002

7 "Image distortion correction for wireless capsule endoscope" 4718-4723, Apr.2004

8 "Design and fabrication of a locomotive mechanism for capsule-type endoscopes using shape memory alloys (SMAs)" 10 (10): 77-86, Feb.2005

9 "Deformable registration for generating dissection image of an intestine from annular image sequence" 271-280, 2005

10 "Correction of distortion in endoscope image" 117-122, 1992

11 "An ultra-low-power image compressor for capsule endoscope" 1-8, 2006

12 "A simplified method of endoscopic image distortion correction based on grey level registration" 3383-3386, 2004

13 "A new approach for nonlinear distortion correction in endoscopic images based on least squares estimation" 18 (18): 345-354, Apr.1999