Data Processing Tasks in Wireless GI Endoscopy: Image-Based Capsule Localization & Navigation and Video Compression

The paper addresses data processing support that is required in capsule gastrointestinal endoscopy. First, capsule position estimation method using standard MPEG-7 image features (descriptors) is discussed. The proposed approach makes use of vector quantization, principal component analysis and neur...

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Veröffentlicht in:	2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2007-01, Vol.2007, p.2815-2818
Hauptverfasser:	Bulat, J., Duda, K., Duplaga, M., Fraczek, R., Skalski, A., Socha, M., Turcza, P., Zielinski, T.P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Capsule Endoscopy - methods Colon - anatomy & histology Colon - diagnostic imaging Colonography, Computed Tomographic Data Compression Data processing Endoscopes Gastrointestinal tract Gastrointestinal Tract - anatomy & histology Gastroscopy - methods Humans Image Processing, Computer-Assisted MPEG 7 Standard Navigation Neural networks Principal component analysis Stomach - anatomy & histology Stomach - diagnostic imaging Vector quantization Video compression Virtual colonoscopy
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Beschreibung
Zusammenfassung:	The paper addresses data processing support that is required in capsule gastrointestinal endoscopy. First, capsule position estimation method using standard MPEG-7 image features (descriptors) is discussed. The proposed approach makes use of vector quantization, principal component analysis and neural networks. Next, new algorithms dedicated for virtual colonoscopy (VC) human body inspection are described. The VC images can be registered with endoscopic ones and help in capsule localization and navigation. Finally, an original, low- complexity, efficient image compression method, based on integer-to-integer 4x4 DCT transform, is presented and experimentally verified.
ISSN:	1094-687X 1557-170X 1558-4615
DOI:	10.1109/IEMBS.2007.4352914