A Swarm-based Approach To Medical Image Analysis

Dr. Manisha Sutar; N. J. Janwe

A Swarm-based Approach To Medical Image Analysis

Dr. Manisha Sutar * §

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N. J. Janwe §

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§ RCERT, Chandrapur, Nagpur University

A Swarm-based Approach To Medical Image Analysis

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Abstract

Image segmentation is an indispensable part of the visualization of human tissues, particularly during analysis of Magnetic Resonance (MR) images. Unfortunately images always contain a significant amount of noise due to operator performance, equipment, and the environment can lead to serious inaccuracies with segmentation. A segmentation technique based on an extension to the traditional C-means (FCM) clustering algorithm is proposed in this paper. A neighborhood attraction, which is dependent on the relative location and features of neighboring pixels considered.. The degree of attraction is optimized by a Particle Swarm Optimization model. Paper demonstrates the superiority of the proposed technique to FCM-based method. This segmentation method is component of an MR image-based classification system for tumors, currently being developed.

References

13 Cites in Article

Reference Format

1. H Suzuki,J Toriwaki (1991). Automatic segmentation of head MRI images by knowledge guided thresholding. Comput. Med. lmag. Graph, IS(4), 233-240.
2. Louis Lemieux,Georg Hagemann,Karsten Krakow,Friedrich Woermann (2000). Fast, accurate, and reproducible automatic segmentation of the brain in T1‐weighted volume MRI data. Magnetic Resonance in Medicine, 42(1), 127-135.
3. W Wells,Iii,W Grimson,R Kikinis,F Jolesz (1996). AdapUv.f..liGgmentation ofMRI data. IEEE Trans. Med.lmag, 5(4), 429-442.
4. K Leemput,F Maes,D Vandermeulen,P Suetens (1999). Automated model-based tissue classification of MR images of the brain. IEEE Trans. Med. Imag, 18(10), 897-908.
5. C Li,L Goldgof,Half (1993). Knowledge-based classification and tissue labeling of MR images of human brain. IEEE Trans. Med. Imag, 12(4), 740-750.
6. L Hall,A Bensaid,L Clarke,R Velthuizen,M Silbiger,J Bezdek (1992). A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain. IEEE Transactions on Neural Networks, 3(5), 672-682.
7. D Pham,J Prince (1999). Adaptive fuzzy segmentation of magnetic resonance images. IEEE Transactions on Medical Imaging, 18(9), 737-752.
8. A Huang,R Abugharbieh,R Tam,A Traboulsee (2006). Automatic Mri Brain Tissue Segmentation Using a Hybrid Statistical and Geometric Model. 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006., 394-397.
9. S Shen,W Sandham,M Granat,A Sterr (2005). MRI Fuzzy Segmentation of Brain Tissue Using Neighborhood Attraction With Neural-Network Optimization. IEEE Transactions on Information Technology in Biomedicine, 9(3), 459-467.
10. R Gonzales,R Woods (2002). Digital Image PI. Digital Image PI
11. D Pham (2001). Spatial Models for Fuzzy Clustering. Vision Image Understanding, 84
12. Regina Pohle,Klaus Toennies (2001). Segmentation of medical images using adaptive region growing. SPIE Proceedings, 4322, 1337-1346.
13. Tsui-Ying Law,Phengann Heng (1999). Automated extraction of bronchus from 3D CT images of lung based on genetic algorithm and 3D region growing. SPIE Proceedings, 3979, 906-916.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Manisha Sutar, N. J. Janwe. 1970. "A Swarm-based Approach To Medical Image Analysis". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 3).

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GJCST Volume 11 Issue 3

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

GJCST Classification I.4.8

J.3

Submission ReceivedJanuary 8, 2011
Peer Review Double Blind
Handling Editor
Accepted February 1, 2011
Published March 12, 2011

Version of record

v1.2

Issue date

March 12, 2011

Language

English

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Article Matrices

Total Score: 147

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr. Manisha Sutar,N. J. Janwe (PhD/Dr. count: 1)

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Total Views (Real + Logic): 7005

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Publish Date: 2011 02, Tue

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Total Views: 7K

Total Downloads: 573

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