Software for enhanced video capsule endoscopy: challenges for essential progress

Iakovidis, Dimitris K.; Koulaouzidis, Anastasios

doi:10.1038/nrgastro.2015.13

Cited by 182 publications

(110 citation statements)

References 139 publications

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“…Recent software developments are moving towards computer-aided diagnostic systems, aiming to increase diagnostic yield, reduce inter-observer variability and ultimately make the process of capsule endoscopy reading more efficient (74). Some of these have been trialled in other forms of endoscopy, including upper GI tract endoscopy for Barrett's oesophagus (75), and small-bowel capsule endoscopy (76)(77)(78)(79).…”

Section: Software Developmentsmentioning

confidence: 99%

Review: capsule colonoscopy—a concise clinical overview of current status

Yung¹,

Rondonotti²,

Koulaouzidis³

2016

Ann. Transl. Med.

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Abstract:The colon capsule endoscopy (CCE) was first introduced in 2007. Currently, the main clinical indications for CCE are completion of incomplete colonoscopy, polyp detection and investigation of inflammatory bowel disease (IBD). Although conventional colonoscopy is the gold standard in bowel cancer screening, incomplete colonoscopy remains a problem as lesions are missed. CCE compares favourably to computer tomography colonography (CTC) in adenoma detection and has therefore been proposed as a method for completing colonoscopy. However the data on CCE remains sparse and current evidence does not show its superiority over CTC or conventional colonoscopy in bowel cancer screening. CCE also seems to show good correlation with conventional colonoscopy when used to evaluate IBD, but there are not many published studies at present. Other significant limitations include the need for aggressive bowel preparation and the labour-intensiveness of CCE reading. Therefore, much further software and hardware development is required to enable CCE to fulfill its potential as a minimally-invasive and reliable method of colonoscopy.

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Section: Software Developmentsmentioning

confidence: 99%

Review: capsule colonoscopy—a concise clinical overview of current status

Yung¹,

Rondonotti²,

Koulaouzidis³

2016

Ann. Transl. Med.

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“…Here, the single image (instead of the complete WCE video footage) has been analyzed. The author [11] has reviewed some current CAD methods employed in enhanced video capsule endoscopy. Various hardware and software problems have been highlighted in a review article [12] for detecting lesions in the small bowel.…”

Section: Background and Literaturementioning

confidence: 99%

Feature Selection and Classification of Ulcerated Lesions Using Statistical Analysis for WCE Images

et al. 2017

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Abstract:Wireless capsule endoscopy (WCE) is a technology developed to inspect the whole gastrointestinal tract (especially the small bowel area that is unreachable using the traditional endoscopy procedure) for various abnormalities in a non-invasive manner. However, visualization of a massive number of images is a very time-consuming and tedious task for physicians (prone to human error). Thus, an automatic scheme for lesion detection in WCE videos is a potential solution to alleviate this problem. In this work, a novel statistical approach was chosen for differentiating ulcer and non-ulcer pixels using various color spaces (or more specifically using relevant color bands). The chosen feature vector was used to compute the performance metrics using SVM with grid search method for maximum efficiency. The experimental results and analysis showed that the proposed algorithm was robust in detecting ulcers. The performance in terms of accuracy, sensitivity, and specificity are 97.89%, 96.22%, and 95.09%, respectively, which is promising.

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“…After the invention of the endoscope, it is possible to generate color images directly inside the human body. In 2000, capsule endoscopy (CE) [4] was introduced, and it has been a useful tool for examining the entire gastrointestinal tract, especially for the screening of small-bowel diseases [5,6]. However, endoscopic diagnosis is time consuming due to the great amount of the video data and low contrast image quality.…”

Section: Introductionmentioning

confidence: 99%

“…Nowadays, signal processing [1][2][3] and image processing [4][5][6] get more and more attention. Amongst them, medical image processing has been widely researched.…”

Section: Introductionmentioning

confidence: 99%

Non-uniform illumination endoscopic imaging enhancement via anti-degraded model and L 1 L 2-based variational retinex

Rao

Luo

et al. 2017

J Wireless Com Network

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In this paper, we propose a novel image enhancement algorithm via anti-degraded model and L 1 L 2 -based variational retinex (AD-L 1 L 2 VR) for non-uniform illumination endoscopic images. Firstly, a haze-free endoscopic image is obtained by an anti-degraded model named dark channel prior (DCP). For getting a more accurate transmission map, it is refined by using a guided image filtering. Secondly, the haze-free endoscopic image is decomposed into detail and naturalness components by light filtering. Thirdly, a logarithmic Laplacian-based gamma correction (LLGC) is added to the naturalness component for preventing color cast and uneven lighting. Fourthly, we assume that the error between the detail component of the haze-free image and the product of associated reflectance and background illumination follows Gaussian-Laplacian distribution. So, the associated reflectance component can be obtained by using the proposed L 1 L 2 -based variational retinex (L 1 L 2 VR) model. Finally, the recombination of modified naturalness component and associated reflectance component become the final result. Experimental results demonstrate that the proposed algorithm reveals more details in the background regions as well as other interesting areas and can mostly prevent the color cast. It has a better performance on increasing diagnosis and reducing misdiagnosis than other existing enhancement methods.

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Software for enhanced video capsule endoscopy: challenges for essential progress

Cited by 182 publications

References 139 publications

Review: capsule colonoscopy—a concise clinical overview of current status

Review: capsule colonoscopy—a concise clinical overview of current status

Feature Selection and Classification of Ulcerated Lesions Using Statistical Analysis for WCE Images

Non-uniform illumination endoscopic imaging enhancement via anti-degraded model and L 1 L 2-based variational retinex

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