NDLI: Fuzzy modelling of different tumorous cerebral tissues on MRI images based on fusion of feature information

Content Provider	IEEE Xplore Digital Library
Author	Weibei Dou Qian Wu Yanping Chen Su Ruan Jean-Marc Constans
Copyright Year	2005
Description	Author affiliation: Dept. of Electron. Eng., Tsinghua Univ., Beijing (Weibei Dou; Qian Wu)
Abstract	A fuzzy modelling approach is being proposed in this paper to estimate the model of tumorous cerebral tissues on MRI images . According to the graduality of description of neuro-radiologists, two tables have been combined to address two types of potential categories of glioma characteristics one is the array of different tissues versus gray level, and the other is the possibility of different tissues belonging to tumor. A hierarchical estimation structure has been proposed to estimate the models of tumorous cerebral tissues on MRI images by the fusion of this a priori knowledge. Through the model outline drawing, adjusting and parameters estimation, the result has shown that this is an efficient modelling method
Starting Page	3104
Ending Page	3107
File Size	306086
Page Count	4
File Format	PDF
ISBN	0780387414
DOI	10.1109/IEMBS.2005.1617132
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-01-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Magnetic resonance imaging Brain modeling Deformable models Neoplasms Magnetic properties Image segmentation Fuzzy systems Hospitals Parameter estimation Feature extraction
Content Type	Text
Resource Type	Article

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