An automatic method of brain tumor segmentation from MRI volume based on the symmetry of brain and level set method

Xiaobing Li; Tianshuang Qiu; Stephane Lebonvallet; Su Ruan

doi:10.1117/12.853389

26 February 2010 An automatic method of brain tumor segmentation from MRI volume based on the symmetry of brain and level set method

Xiaobing Li, Tianshuang Qiu, Stephane Lebonvallet, Su Ruan

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Proceedings Volume 7546, Second International Conference on Digital Image Processing; 754618 (2010) https://doi.org/10.1117/12.853389
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore

Abstract

This paper presents a brain tumor segmentation method which automatically segments tumors from human brain MRI image volume. The presented model is based on the symmetry of human brain and level set method. Firstly, the midsagittal plane of an MRI volume is searched, the slices with potential tumor of the volume are checked out according to their symmetries, and an initial boundary of the tumor in the slice, in which the tumor is in the largest size, is determined meanwhile by watershed and morphological algorithms; Secondly, the level set method is applied to the initial boundary to drive the curve evolving and stopping to the appropriate tumor boundary; Lastly, the tumor boundary is projected one by one to its adjacent slices as initial boundaries through the volume for the whole tumor. The experiment results are compared with hand tracking of the expert and show relatively good accordance between both.

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Xiaobing Li, Tianshuang Qiu, Stephane Lebonvallet, and Su Ruan "An automatic method of brain tumor segmentation from MRI volume based on the symmetry of brain and level set method", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 754618 (26 February 2010); https://doi.org/10.1117/12.853389

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KEYWORDS

Tumors

Brain

Magnetic resonance imaging

Image segmentation

Neuroimaging

Data modeling

Tissues

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