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Information fusion, application to data and model fusion for ultrasound image segmentation

Nowadays, information fusion constitutes a challenging research topic. The authors' study proposes to achieve the fusion of several knowledge sources. This, in order to detect the esophagus inner wall from ultrasound medical images. After a brief description of information fusion concepts, the...

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Published in:	IEEE transactions on biomedical engineering 1999-10, Vol.46 (10), p.1171-1175
Main Authors:	Solaiman, B., Debon, R., Pipelier, F., Cauvin, J.-M., Roux, C.
Format:	Article
Language:	English
Subjects:	Algorithms Biomedical imaging Computer Simulation Decision making Endoscopes Endosonography - instrumentation Endosonography - methods Engineering Sciences Equipment Design Esophageal Neoplasms - diagnostic imaging Esophagus Esophagus - diagnostic imaging Fuzzy Logic Fuzzy sets Fuzzy systems Humans Image Enhancement - methods Image segmentation Mathematical models Medical imaging Sensor data fusion Sensor fusion Sensor systems Signal and Image processing Tissue Transducers Ultrasonic imaging
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creator	Solaiman, B. Debon, R. Pipelier, F. Cauvin, J.-M. Roux, C.
description	Nowadays, information fusion constitutes a challenging research topic. The authors' study proposes to achieve the fusion of several knowledge sources. This, in order to detect the esophagus inner wall from ultrasound medical images. After a brief description of information fusion concepts, the authors propose a system architecture including both model and data fusion. The data fusion is accomplished using fuzzy modeling, which can be seen as a monosensor/multiple sources data fusion system. The model fusion is performed using a full-adapted snake theory, which projects the fuzzy decision into the binary decision space.
doi_str_mv	10.1109/10.790491
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source	IEEE Electronic Library (IEL) Journals
subjects	Algorithms Biomedical imaging Computer Simulation Decision making Endoscopes Endosonography - instrumentation Endosonography - methods Engineering Sciences Equipment Design Esophageal Neoplasms - diagnostic imaging Esophagus Esophagus - diagnostic imaging Fuzzy Logic Fuzzy sets Fuzzy systems Humans Image Enhancement - methods Image segmentation Mathematical models Medical imaging Sensor data fusion Sensor fusion Sensor systems Signal and Image processing Tissue Transducers Ultrasonic imaging
title	Information fusion, application to data and model fusion for ultrasound image segmentation
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