Multicenter Retrospective Evaluation of Capsule Endoscopy in Clinical Routine

Maieron, A; Hübner, Dietmar; Blaha, B; Deutsch, C; Schickmair, T; Ziachehabi, A; Kerstan, E; Knoflach, P; Schoefl, Rainer

doi:10.1055/s-2004-825852

Cited by 73 publications

(39 citation statements)

References 15 publications

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“…A major problem is that the typical size for a WCE video for a patient is approximately 55,000 frames, and it usually takes more than an hour of intense labour for the expert in order to examine the whole frame sequence [2]. However, this manual examination process does not guarantee that some abnormal regions are missed.…”

Section: Introductionmentioning

confidence: 99%

Automatic frame reduction of Wireless Capsule Endoscopy video

Tsevas

Iakovidis

Maroulis

et al. 2008

2008 8th IEEE International Conference on BioInformatics and BioEngineering

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Abstract-Wireless Capsule Endoscopy (WCE) is a noninvasive colour imaging technique that has been introduced for the screening of the gastrointestinal tract and especially the small intestine. WCE is performed by a wireless swallowable endoscopic capsule that transmits more than 50,000 video frames per examination. The visual inspection of the resulting video is a highly time-consuming task even for the experienced gastroenterologist. In this paper we propose a novel WCE video summarization approach which is subsequently evaluated using real world patient data. The proposed approach aims to the reduction of the number of the video frames to be visually inspected so as to enable significant reduction in the video assessment time. It is based on clustering using symmetric nonnegative matrix factorization initialized by the fuzzy c-means algorithm and supported by non-negative Lagrangian relaxation to extract a subset of video scenes containing the most representative frames from an entire examination. Real world patient data that display abnormal findings at several sites in the small intestine were annotated by expert gastroenterologists in order to experimentally evaluate the proposed approach. The results demonstrate that the suggested approach leads to significant reduction of the total number of frames in the input video without losing critical information related to the abnormal regions of the small intestine.

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Section: Introductionmentioning

confidence: 99%

Automatic frame reduction of Wireless Capsule Endoscopy video

Tsevas

Iakovidis

Maroulis

et al. 2008

2008 8th IEEE International Conference on BioInformatics and BioEngineering

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show abstract

“…unklare gastrointestinale Blutung zu nennen [4,5]. In etwa der Hälfte der Fälle mit der Fragestellung einer Dünndarmblutung kann die Blutungsquelle lokalisiert werden [4,5].…”

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“…unklare gastrointestinale Blutung zu nennen [4,5]. In etwa der Hälfte der Fälle mit der Fragestellung einer Dünndarmblutung kann die Blutungsquelle lokalisiert werden [4,5]. Bei der detaillierten Betrachtung der Kodierung müssen die Fälle mit Nachweis einer Blutungsquelle von denjenigen ohne Nachweis unterschieden werden, da sich unterschiedliche DRGs ergeben.…”

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Die Kapselendoskopie

Brechmann

Schmiegel

2009

Med Klin

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“…The automated intestinal-disorder recognition systems target to detect potential regions of abnormal tissue in order to help the physician reach a diagnosis more quickly. This is particularly essential in WCE due to the vast amount of images produced (over 55.000) and the highly timeconsuming task of reviewing them (more than two hours) (Maieron et al, 2004). The fact that abnormal findings might not be clearly apparent to the naked eye further renders computeraided image analysis imperative.…”

Section: Introductionmentioning

confidence: 99%