The endoscopic capsule is a recent medical breakthrough that allows the visualization of a patient's whole gastrointestinal tract.
Medical studies show that this new type of exam is invaluable for the correct detection of abnormal situations such as obscure gastrointestinal bleeding or Crohn's disease. In its initial four years, more than 150 thousand exams have been performed worldwide. An important limitation of this technology is the fact that trained specialists currently take about 2 hours per exam for a correct analysis. If we multiply this by the number of capsule exams that have been performed and the hourly salary of such a specialist, we can start to form an idea of the commercial importance of strong computer vision algorithms that can reduce this workload and associated cost.
The SIAS lab of the IEETA research institute leads since 2005 a non-funded cooperation project called CapView with three major hospitals in Portugal. Its objective is to produce an annotation tool that both decreases the duration of the task of exam analysis and provides database management functionalities for the growing number of resulting videos and annotation data.
There are already visible results from this project such as a working version of CapView 1.0 that is currently used as an annotation standard in Hospital Santo Antonio SA. It already provides some basic database management functionalities, a normalized annotation language, a customizable report creation tool and a fully integrated interface. Automatic tools are being researched and some successful results have already been obtained. We are currently integrating a topographic segmentation tool (divides the gastrointestinal tract into its four constituent parts) that not only saves the time required for this manual annotation but also allows the automatic extraction of the medically relevant stomach and small intestine transit times.
The SIAS lab of the IEETA research institute leads since 2005 a non-funded cooperation project called CapView with three major hospitals in Portugal. Its objective is to produce an annotation tool that both decreases the duration of the task of exam analysis and provides database management functionalities for the growing number of resulting videos and annotation data.
There are already visible results from this project such as a working version of CapView 1.0 that is currently used as an annotation standard in Hospital Santo Antonio SA. It already provides some basic database management functionalities, a normalized annotation language, a customizable report creation tool and a fully integrated interface. Automatic tools are being researched and some successful results have already been obtained. We are currently integrating a topographic segmentation tool (divides the gastrointestinal tract into its four constituent parts) that not only saves the time required for this manual annotation but also allows the automatic extraction of the medically relevant stomach and small intestine transit times.
Reference :
http://www.gihealth.com/html/test/given.html
http://en.wikipedia.org/wiki/Capsule_endoscopy
http://www.urmc.rochester.edu/news/story/index.cfm?id=1229
http://science.slashdot.org/article.pl?sid=08/01/25/1557214
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1120972/
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HALLO MAS SALAM KENAL YAH.
WAH ARTIKEL YANG INI BAGUS SEKALI, TEMUAN ALAT TERSEBUT TENTUNYA MERUPAKAN TEROBOSAN TEHNOLOGI YANG AKAN MEMBERIKAN PERUBAHAN BESAR DUNIA MEDIS, TERUTAMA YANG BERKAITAN DENGAN PENYAKIT DALAM. SEMOGA APLIKASI TEHNOLOGI TERKINI TERSEBUT AKAN SEGERA SAMPAI KE TANAH AIR JUGA.
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