An atlas based level set method for 3D brain structures segmentation
Pages 104 - 107
Abstract
Brain structures segmentation in Magnetic Resonance Imaging (MRI) is a challenging task because of the large anatomical variability in both shape and size between individuals. In this work, an atlas based level set method is proposed for brain tissues segmentation. First, a skull stripping method is utilized to remove the skull region of brain. A registration algorithm is then applied to obtain the initial six brain structure labels (thalamus, hippocampus, amygdala, putamen, pallidum, caudate) with a manually labeled atlas, which can be used as the initial level set contours. The final label is achieved by minimizing the energy function which consists of three terms: an image data term, a length regularization term and an intensity constrained term. Experimental results demonstrate that our method can obtain satisfactory results compared with other state-of-art methods.
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Published In
December 2020
239 pages
ISBN:9781450389686
DOI:10.1145/3451421
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Published: 27 August 2021
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ISICDM 2020
ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine
December 5 - 7, 2020
Shenyang, China
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