Tumor Extraction and Volume Estimation for T1-Weighted Magnetic Resonance Brain Images

Tumor Extraction and Volume Estimation for T1-Weighted Magnetic Resonance Brain Images

S.Satheesh

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Dr.K.V.S.V.R Prasad

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Dr. K. Jitender Reddy

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Jawaharlal Nehru Technological University, Hyderabad

Tumor Extraction and Volume Estimation for T1-Weighted Magnetic Resonance Brain Images

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Abstract

Magnetic Resonance Imaging (MRI) is a significant imaging technology for brain tumor diagnosis because physicians can identify precise pathologies by studying the variations of tissue characteristics that occurs in various kinds of MR brain images. Segmentation of MRI is a preprocess in determining the volume of different brain tissues, but here tumor detection is of primary concern. We proposed a method to extract tumors as seen through MR brain images using coclustering and morphological operations and its volume estimation was done by Cavalier’s estimator of morphometric volume method. Quantitative analysis showed that the proposed method yielded better results in comparison with Fuzzy C-Means algorithm (FCM).

References

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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

S.Satheesh. 2012. \u201cTumor Extraction and Volume Estimation for T1-Weighted Magnetic Resonance Brain Images\u201d. Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 12 (GJCST Volume 12 Issue D12).

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GJCST Volume 12 Issue D12

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

co -clustering magnetic resonance imaging morphological operations skull removal tumor extraction volume estimation

Submission ReceivedDecember 13, 2011
Peer Review Double Blind
Handling Editor
Accepted January 5, 2012
Published January 15, 2012

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v1.2

Issue date

December 29, 2012

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Article Matrices

Total Score: 113

Country: India

Subject: Global Journal of Computer Science and Technology - D: Neural & AI

Authors: S.Satheesh, Dr.K.V.S.V.R Prasad, Dr. K. Jitender Reddy (PhD/Dr. count: 2)

View Count (all-time): 280

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Publish Date: 2012 12, Sat

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Total Views: 9836

Total Downloads: 2711

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