Medical image segmentation using 3D MRI data

V. Voronin; V. Marchuk; E. Semenishchev; Yigang  Cen; S. Agaian

doi:10.1117/12.2262857

10 May 2017 Medical image segmentation using 3D MRI data

V. Voronin; V. Marchuk; E. Semenishchev; Yigang Cen; S. Agaian

Author Affiliations +

Proceedings Volume 10221, Mobile Multimedia/Image Processing, Security, and Applications 2017; 102210A (2017) https://doi.org/10.1117/12.2262857
Event: SPIE Commercial + Scientific Sensing and Imaging, 2017, Anaheim, California, United States

Abstract

Precise segmentation of three-dimensional (3D) magnetic resonance imaging (MRI) image can be a very useful computer aided diagnosis (CAD) tool in clinical routines. Accurate automatic extraction a 3D component from images obtained by magnetic resonance imaging (MRI) is a challenging segmentation problem due to the small size objects of interest (e.g., blood vessels, bones) in each 2D MRA slice and complex surrounding anatomical structures. Our objective is to develop a specific segmentation scheme for accurately extracting parts of bones from MRI images. In this paper, we use a segmentation algorithm to extract the parts of bones from Magnetic Resonance Imaging (MRI) data sets based on modified active contour method. As a result, the proposed method demonstrates good accuracy in a comparison between the existing segmentation approaches on real MRI data.

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Citation Download Citation

V. Voronin, V. Voronin, V. Marchuk, V. Marchuk, E. Semenishchev, E. Semenishchev, Yigang Cen, Yigang Cen, S. Agaian, S. Agaian, } "Medical image segmentation using 3D MRI data", Proc. SPIE 10221, Mobile Multimedia/Image Processing, Security, and Applications 2017, 102210A (10 May 2017); doi: 10.1117/12.2262857; https://doi.org/10.1117/12.2262857

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