Improvement of Brain Tissue Segmentation Using Information Fusion Approach
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2011, Vol 2, Issue 6
Abstract
The fusion of information is a domain of research in full effervescence these last years. Because of increasing of the diversity techniques of images acquisitions, the applications of medical images segmentation, in which we are interested, necessitate most of the time to carry out the fusion of various data sources to have information with high quality. In this paper we propose a system of data fusion through the framework of the possibility theory adapted for the segmentation of MR images. The fusion process is divided into three steps : fuzzy tissue maps are first computed on all images using Fuzzy C- Means algorithm. Fusion is then achieved for all tissues with a fusion operator. Applications on a brain model show very promising results on simulated data and a great concordance between the true segmentation and the proposed system.
Authors and Affiliations
Lamiche Chaabane , Moussaoui Abdelouahab
Keywords
Related Articles
- EP ID EP97433
- DOI -
- Views 105
- Downloads 0
Computerised Speech Processing in Hearing Aids using FPGA Architecture
The development of computerized speech processing system is to mimic the natural functionality of human hearing, because of advent of technology that used Very Large Scale Integration (VLSI) devices such as Field Progra...
Sentiment Analysis Based on Expanded Aspect and Polarity-Ambiguous Word Lexicon
This paper focuses on the task of disambiguating polarity-ambiguous words and the task is reduced to sentiment classification of aspects, which we refer to sentiment expectation instead of semantic orientation widely use...
Comparison between Commensurate and Non-commensurate Fractional Systems
This article deals with fractional systems that rep-resent better physical process and guarantee a very small number of parameters that can reduces the computation time. It focuses in particular on the state-space repres...
Personalized Recommender by Exploiting Domain based Expert for Enhancing Collaborative Filtering Algorithm :PReC
The large amount of information available on the internet initiated various Recommender algorithms to act as an intermediate between number of choices and internet users. Collaborative filtering is one of the most tradi...
A Novel Approach for Submission of Tasks to a Data Center in a Virtualized Cloud Computing Environment
The submission of tasks to a data center plays a crucial role to achieve the services like scheduling, processing in a cloud computing environment. Energy consumption of a data center must be considered for task processi...