Computerized brain tumor segmentation in magnetic resonance imaging

Author:

Alegro Maryana de Carvalho1,Amaro Junior Edson2,Lopes Rosei de Deus3

Affiliation:

1. Universidade de São Paulo, Brazil; Hospital Israelita Albert Einstein, Brazil

2. Hospital Israelita Albert Einstein, Brazil

3. Universidade de São Paulo, Brazil

Abstract

OBJECTIVE: To propose an automatic brain tumor segmentation system. METHODS: The system used texture characteristics as its main source of information for segmentation. RESULTS: The mean correct match was 94% of correspondence between the segmented areas and ground truth. CONCLUSION: Final results showed that the proposed system was able to find and delimit tumor areas without requiring any user interaction.

Publisher

FapUNIFESP (SciELO)

Subject

General Medicine

Reference29 articles.

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4. MRI measurement of brain tumor response: Comparison of visual metric and automatic segmentation;Clarke LP;Magn Reson Imaging,1998

5. Monitoring brain tumor response to therapy using MRI segmentation;Vaidyanathan M;Magn Reson Imaging,1997

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