Automatic detection of brain tumor based on magnetic resonance image using CAD System with watershed segmentation

In medical image processing Segmentation of anatomical regions of the brain is the fundamental problem. Here, a brain tumor segmentation method has been developed and validated using MRI Data. In Preprocessing and Enhancement stage, medical image is converted into standard formatted image. Segmentat...

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Main Authors: Angel Viji, K.S., Jayakumari, J.
Format: Conference Proceeding
Language:English
Subjects:
Data visualization
Image edge detection
Image segmentation
Magnetic Resonance Image (MRI)
Magnetic resonance imaging
Segmentation
Signal processing
Three dimensional displays
Tumors
watershed segmentation
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Jayakumari, J.
description In medical image processing Segmentation of anatomical regions of the brain is the fundamental problem. Here, a brain tumor segmentation method has been developed and validated using MRI Data. In Preprocessing and Enhancement stage, medical image is converted into standard formatted image. Segmentation subdivides an image into its constituent regions or objects. This method can segment a tumor provided that the desired parameters are set properly. In this paper, after a manual segmentation procedure the tumor identification, the investigations has been made for the potential use of MRI data for improving brain tumor shape approximation and 2D & 3D visualization for surgical planning and assessing tumor.
doi_str_mv 10.1109/ICSCCN.2011.6024532
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Data visualization
Image edge detection
Image segmentation
Magnetic Resonance Image (MRI)
Magnetic resonance imaging
Segmentation
Signal processing
Three dimensional displays
Tumors
watershed segmentation
title Automatic detection of brain tumor based on magnetic resonance image using CAD System with watershed segmentation
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