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.

ADAPTED BIT-PLANE PROBABILITY AND WAVELET-BASED ULCER DETECTION IN WIRELESS CAPSULE ENDOSCOPY IMAGES

2016 ◽  
Vol 28 (04) ◽  
pp. 1650029 ◽  
Author(s):  
Pedram Salehpour ◽  
Hossein Balazadeh Bahar ◽  
Ghader Karimian ◽  
Hossein Ebrahimnezhad
Keyword(s):  
Capsule Endoscopy ◽  
Computational Algorithm ◽  
Research Work ◽  
Wireless Capsule Endoscopy ◽  
Experimental Results ◽  
Gi Tract ◽  
Bit Plane ◽  
Bit Planes ◽  
Ulcer Detection ◽  
Wireless Capsule

Wireless capsule endoscopy (WCE) has been proven to be a robust technology which is able to ease diagnosing the GI tract diseases. It can be seen that a better computational algorithm is needed to analyze WCE images. Ulcer is one of the several diseases which are diagnosed using these images. Non-uniform lighting can complicate the detection process because it can change the color of tissue and make it seem darker or lighter than usual. This change of color makes the detection harder as the main feature of detecting ulcer as the color of the tissue. In this research work, adapted bit-planes are used to detect useful areas in images and then two sets of features, bit-plane probability and wavelet-based features, were extracted from the detected areas and used to classify them. Experimental results demonstrate a promising ground for further analysis of the channel-based bit-plane data and wavelet-based features.

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.

scholarly journals A Fluorescence-Based Wireless Capsule Endoscopy System for Detecting Colorectal Cancer

Cancers ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 890 ◽  
Author(s):  
Mohammad Wajih Alam ◽  
Seyed Shahim Vedaei ◽  
Khan A. Wahid
Keyword(s):  
Colorectal Cancer ◽  
Capsule Endoscopy ◽  
Wireless Capsule Endoscopy ◽  
Proof Of Concept ◽  
Gi Tract ◽  
Painful Procedure ◽  
Specific Detection ◽  
Wide Acceptance ◽  
Endoscopic Capsule ◽  
Wireless Capsule

Wireless capsule endoscopy (WCE) has been widely used in gastrointestinal (GI) diagnosis that allows the physicians to examine the interior wall of the human GI tract through a pain-free procedure. However, there are still several limitations of the technology, which limits its functionality, ultimately limiting its wide acceptance. Its counterpart, the wired endoscopic system is a painful procedure that demotivates patients from going through the procedure, and adversely affects early diagnosis. Furthermore, the current generation of capsules is unable to automate the detection of abnormality. As a result, physicians are required to spend longer hours to examine each image from the endoscopic capsule for abnormalities, which makes this technology tiresome and error-prone. Early detection of cancer is important to improve the survival rate in patients with colorectal cancer. Hence, a fluorescence-imaging-based endoscopic capsule that automates the detection process of colorectal cancer was designed and developed in our lab. The proof of concept of this endoscopic capsule was tested on porcine intestine and liquid phantom. The proposed WCE system offers great possibilities for future applicability in selective and specific detection of other fluorescently labelled cancers.

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