1. Medical image segmentation using 3D MRI data
- Author
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Sos S. Agaian, V. Voronin, V. Marchuk, Yigang Cen, and E. Semenishchev
- Subjects
Active contour model ,Engineering ,medicine.diagnostic_test ,business.industry ,Magnetic resonance spectroscopic imaging ,Magnetic resonance imaging ,Image segmentation ,Real-time MRI ,Magnetic resonance angiography ,Computer-aided diagnosis ,medicine ,Segmentation ,Computer vision ,Artificial intelligence ,business - 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.
- Published
- 2017
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