STORYBOARD OF WCE VIDEO EXTRACTION BASED ON FRAME DIFFERENCE

2011 ◽  
Vol 08 (04) ◽  
pp. 315-324 ◽  
Author(s):  
YANAN FU ◽  
MRINAL MANDAL ◽  
DAVID W. ZHANG ◽  
MAX Q.-H. MENG
Keyword(s):  
Small Intestine ◽  
Capsule Endoscopy ◽  
New Technology ◽  
Wireless Capsule Endoscopy ◽  
Video Data ◽  
Frame Difference ◽  
Entire Small Intestine ◽  
Shot Detection ◽  
Speed Up ◽  
Wireless Capsule

Wireless capsule endoscopy (WCE) is an imaging technology that enables close examination of the interior of the entire small intestine. A major problem associated with this new technology is that a large volume of video data need to be examined manually by clinicians. It is therefore useful to design a mechanism that allows the clinicians to gain certain evaluation of a video without watching the whole video. In this paper, a shot detection-based method is presented for automatically establishing the WCE video static storyboard, and then moving storyboard is extracted based on the selected representative frames under the supervision of clinicians. Experimental results show that most of the representative frames containing relevant features can be extracted from the original WCE video. The proposed method can significantly and safely reduce the number of frames that need to be examined by clinicians and thus speed up the diagnosis procedures.

DISEASES DETECTION IN WIRELESS CAPSULE ENDOSCOPY IMAGES WITH COLOR FEATURE

2007 ◽  
Vol 04 (03) ◽  
pp. 251-259 ◽  
Author(s):  
BAOPU LI ◽  
MAX Q.-H. MENG
Keyword(s):  
Small Intestine ◽  
Capsule Endoscopy ◽  
Minimum Distance ◽  
Imaging Techniques ◽  
New Technology ◽  
Wireless Capsule Endoscopy ◽  
Color Feature ◽  
Entire Small Intestine ◽  
The Status ◽  
Wireless Capsule

Due to a few great advantages such as viewing the entire small intestine with almost non-invasiveness and no sedation over traditional endoscopies and other imaging techniques for gastrointestinal tract diseases, the wireless capsule endoscopy invented by Given Imaging has found its gradually wide applications in hospitals. However, one major issue concerning this new technology is that too many images to be examined by naked eyes cause a huge burden to physicians, so it is very necessary to ease the physician if we can do diseases detection using computerized methods. In this paper, we develop a new method by making use of color feature, also a very important clue for diagnosis by physicians, to discriminate between normal region and abnormal region. Exploiting the color histogram of the image, we can get the distribution of the color in the image. Then we use the minimum distance classifier to judge the status of the regions. Experimental results on our present data prove promising performance of the proposed scheme in detecting bleeding and ulcers.

Ulcerated small-intestine duplication cyst: an unusual source of GI bleeding revealed by wireless capsule endoscopy

2006 ◽  
Vol 63 (1) ◽  
pp. 192-194 ◽  
Author(s):  
Ervin Toth ◽  
Jan Lillienau ◽  
Mats Ekelund ◽  
Jan Alumets ◽  
Rolf Olsson ◽  
...  
Keyword(s):  
Small Intestine ◽  
Capsule Endoscopy ◽  
Duplication Cyst ◽  
Wireless Capsule Endoscopy ◽  
Gi Bleeding ◽  
Wireless Capsule

A New Complication from a New Technology: What a General Surgeon Should Know about Wireless Capsule Endoscopy

2005 ◽  
Vol 71 (5) ◽  
pp. 455-458
Author(s):  
Phillip K. Chang ◽  
Elizabeth G. Holt ◽  
Willem J.S. De Villiers ◽  
Bernard R. Boulanger
Keyword(s):  
Crohn’S Disease ◽  
Crohn's Disease ◽  
Capsule Endoscopy ◽  
Preoperative Planning ◽  
Surgical Complication ◽  
New Technology ◽  
Wireless Capsule Endoscopy ◽  
General Surgeon ◽  
Safe Procedure ◽  
Wireless Capsule

Wireless capsule endoscopy has revolutionized the diagnostic evaluation of the small intestine and is increasingly used by gastroenterologists. However, complications can occur with this seemingly safe procedure. We report two cases of Crohn's disease in which capsule endoscopy was performed with retention of the capsules. Both patients were taken to the operating room electively after careful preoperative planning to address both the surgical aspect of Crohn's disease and the retained capsule. We reviewed the literature on the use of wireless capsule endoscopy in patients with Crohn's disease and discuss the approach to a new surgical complication.

scholarly journals Colored Video Analysis in Wireless Capsule Endoscopy: A Survey of State-of-the-Art

2020 ◽  
Vol 16 (9) ◽  
pp. 1074-1084
Author(s):  
Amira S. Ashour ◽  
Nilanjan Dey ◽  
Waleed S. Mohamed ◽  
Jolanda G. Tromp ◽  
R. Simon Sherratt ◽  
...  
Keyword(s):  
Video Analysis ◽  
Capsule Endoscopy ◽  
Feature Learning ◽  
Wireless Capsule Endoscopy ◽  
Image Resolution ◽  
Lesion Detection ◽  
Gi Tract ◽  
Video Information ◽  
Speed Up ◽  
Wireless Capsule

Wireless Capsule Endoscopy (WCE) is a highly promising technology for gastrointestinal (GI) tract abnormality diagnosis. However, low image resolution and low frame rates are challenging issues in WCE. In addition, the relevant frames containing the features of interest for accurate diagnosis only constitute 1% of the complete video information. For these reasons, analyzing the WCE videos is still a time consuming and laborious examination for the gastroenterologists, which reduces WCE system usability. This leads to the emergent need to speed-up and automates the WCE video process for GI tract examinations. Consequently, the present work introduced the concept of WCE technology, including the structure of WCE systems, with a focus on the medical endoscopy video capturing process using image sensors. It discussed also the significant characteristics of the different GI tract for effective feature extraction. Furthermore, video approaches for bleeding and lesion detection in the WCE video were reported with computer-aided diagnosis systems in different applications to support the gastroenterologist in the WCE video analysis. In image enhancement, WCE video review time reduction is also discussed, while reporting the challenges and future perspectives, including the new trend to employ the deep learning models for feature Learning, polyp recognition, and classification, as a new opportunity for researchers to develop future WCE video analysis techniques.

scholarly journals Swallowable Wireless Capsule Endoscopy: Progress and Technical Challenges

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Guobing Pan ◽  
Litong Wang
Keyword(s):  
Capsule Endoscopy ◽  
New Technology ◽  
Wireless Capsule Endoscopy ◽  
Image Resolution ◽  
Working Time ◽  
Frame Rate ◽  
Gi Tract ◽  
Resolution Limit ◽  
Technical Challenge ◽  
Wireless Capsule

Wireless capsule endoscopy (WCE) offers a feasible noninvasive way to detect the whole gastrointestinal (GI) tract and revolutionizes the diagnosis technology. However, compared with wired endoscopies, the limited working time, the low frame rate, and the low image resolution limit the wider application. The progress of this new technology is reviewed in this paper, and the evolution tendencies are analyzed to be high image resolution, high frame rate, and long working time. Unfortunately, the power supply of capsule endoscope (CE) is the bottleneck. Wireless power transmission (WPT) is the promising solution to this problem, but is also the technical challenge. Active CE is another tendency and will be the next geneion of the WCE. Nevertheless, it will not come true shortly, unless the practical locomotion mechanism of the active CE in GI tract is achieved. The locomotion mechanism is the other technical challenge, besides the challenge of WPT. The progress about the WPT and the active capsule technology is reviewed.

scholarly journals A Review of Machine-Vision-Based Analysis of Wireless Capsule Endoscopy Video

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Yingju Chen ◽  
Jeongkyu Lee
Keyword(s):  
Machine Vision ◽  
Capsule Endoscopy ◽  
Image Features ◽  
Wireless Capsule Endoscopy ◽  
X Rays ◽  
Shot Boundary ◽  
Speed Up ◽  
Image Abstraction ◽  
Wireless Capsule ◽  
Pet Scans

Wireless capsule endoscopy (WCE) enables a physician to diagnose a patient's digestive system without surgical procedures. However, it takes 1-2 hours for a gastroenterologist to examine the video. To speed up the review process, a number of analysis techniques based on machine vision have been proposed by computer science researchers. In order to train a machine to understand the semantics of an image, the image contents need to be translated into numerical form first. The numerical form of the image is known as image abstraction. The process of selecting relevant image features is often determined by the modality of medical images and the nature of the diagnoses. For example, there are radiographic projection-based images (e.g., X-rays and PET scans), tomography-based images (e.g., MRT and CT scans), and photography-based images (e.g., endoscopy, dermatology, and microscopic histology). Each modality imposes unique image-dependent restrictions for automatic and medically meaningful image abstraction processes. In this paper, we review the current development of machine-vision-based analysis of WCE video, focusing on the research that identifies specific gastrointestinal (GI) pathology and methods of shot boundary detection.

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