Web-Based Solution for Acquisition, Processing, Archiving and Diffusion of Endoscopy Studies

Laranjo, Isabel; Braga, J.; Assunção, Domingos; Silva, Andreia; Rolanda, Carla; Lopes, Luís; Correia‐Pinto, Jorge; Alves, Victor

doi:10.1007/978-3-319-00551-5_39

Cited by 8 publications

(7 citation statements)

References 8 publications

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“…The MIVprocessing is integrated in the MyEndoscopy system developed by Laranjo et al [16]. The MyEndoscopy is a web-based application system, which allows the acquisition, processing, archiving and diffusion of endoscopic procedure results [16].…”

Section: Proposed Architecturementioning

confidence: 99%

Video Processing Architecture: A Solution for Endoscopic Procedures Results

Laranjo

Braga

Assunção

et al. 2014

Advances in Intelligent Systems and Computing

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Abstract. In this paper we propose an architecture for processing endoscopic procedures results. The goal is to create a complete system capable of processing any type of endoscopic multimedia results, in order to overcome the most common issues in the endoscopic domain (e.g. video's long-duration, gastroenterologist's possible difficulty to maintain the focus and efficiency during the viewing process, imperfections in images/videos). It was this scenario that led to the conception of the MIVprocessing solution, which will address these and other problems, providing an added value to the elaboration of diagnoses. The MIVprocessing is composed of five tasks: Video Summarization (elimination of the "non-informative" frames); Pre-Processing (correction/improvement of the frames); Pre-Detection; Segmentation; and Feature Extraction and Classification. The idea is to create a framework that brings together the capabilities of different but at the same time complementary concepts (e.g. image and signal processing, machine learning, computer vision). This conjugation applied to the endoscopic domain provides a set of features capable of improving the gastroenterologist's activities during and after the procedure.

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Section: Proposed Architecturementioning

confidence: 99%

Video Processing Architecture: A Solution for Endoscopic Procedures Results

Laranjo

Braga

Assunção

et al. 2014

Advances in Intelligent Systems and Computing

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“…The proposed solution for real-time streaming and storage of the video produced in endoscopic exams (MIVstream) is integrated in the MyEndoscopy system (Laranjo et al, 2013) and allows a seamless integration in the gastroenterology medical appointment. The workflow of a gastroenterology medical appointment using the proposed solution, with all the steps chronologically linked, can be seen in Figure 1.…”

Section: Proposed Architeturementioning

confidence: 99%

“…CT scans, X-ray, ultrasound, endoscopy). Among them is the EsophagoGastroDuodenoscopy (EGD), which presents low cost and good results (Axon, 2008;Laranjo et al, 2013). Endoscopy is a diagnostic test that aims to obtain a diagnosis and/or perform therapeutic procedures.…”

Section: Introductionmentioning

confidence: 99%

“…Beyond real-time visualization of different organs, such as the esophagus, stomach and duodenum, the gastroenterologist can capture the most relevant image frames for the report. At the time of elaboration of the report it is not possible to review the exam or compare video segments with other procedures, which can lead to the repetition of the exam (Laranjo et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Endoscopic Imaging Results

Braga

Laranjo

Rolanda

et al. 2014

Journal of Information Technology Research

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The technological evolution seen in the past years led to an increase in the number therapeutic and diagnostic tests. In this paper a new solution for storage, diffusion, and real-time remote assistance in endoscopic exams is presented. The aim is to solve the problem of endoscopic examinations not being archived and easily accessed anywhere within a health care network by authorized health care professionals and researchers. Solving that problem avoids unneeded repetition of unpleasant exams and allows the comparison of video segments with future procedures. The presented solution also allows the streaming and real-time remote assistance of exams being carried out. This way health care professionals can contribute with their expertise even if they cannot attend onsite.

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“…In terms of storage organization, [27] propose a system with a distributed architecture that uses a NoSQL database to provide access to videos within a hospital and across different health care institutions [28]. They also present a device for video acquisition and an annotation system that enables content querying [112]. Münzer et al [160] show that the circular content area of endoscopic videos can be exploited to considerably improve encoding efficiency and the discarding of irrelevant segments (blurry, out-of-patient or dark and noisy) can save up to 20 % of the storage space [161].…”

Section: Compression and Storagementioning

confidence: 99%

Content-based processing and analysis of endoscopic images and videos: A survey

Münzer

Schoeffmann

Böszörményi

2017

Multimed Tools Appl

114

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In recent years, digital endoscopy has established as key technology for medical screenings and minimally invasive surgery. Since then, various research communities with manifold backgrounds have picked up on the idea of processing and automatically analyzing the inherently available video signal that is produced by the endoscopic camera. Proposed works mainly include image processing techniques, pattern recognition, machine learning methods and Computer Vision algorithms. While most contributions deal with realtime assistance at procedure time, the post-procedural processing of recorded videos is still in its infancy. Many post-processing problems are based on typical Multimedia methods like indexing, retrieval, summarization and video interaction, but have only been sparsely addressed so far for this domain. The goals of this survey are (1) to introduce this research field to a broader audience in the Multimedia community to stimulate further research, (2) to describe domain-specific characteristics of endoscopic videos that need to be addressed in a pre-processing step, and (3) to systematically bring together the very diverse research results for the first time to provide a broader overview of related research that is currently not perceived as belonging together.

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Web-Based Solution for Acquisition, Processing, Archiving and Diffusion of Endoscopy Studies

Cited by 8 publications

References 8 publications

Video Processing Architecture: A Solution for Endoscopic Procedures Results

Video Processing Architecture: A Solution for Endoscopic Procedures Results

Endoscopic Imaging Results

Content-based processing and analysis of endoscopic images and videos: A survey

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