Medical image segmentation using modified active contour method | Zendy

Viacheslav Voronin | Zendy; Oxana Balabaeva | Zendy; Svetlana Tokareva | Zendy; Evgeny A. Semenishchev | Zendy; Vladimir Dub | Zendy

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Medical image segmentation using modified active contour method

Author(s) -

Viacheslav Voronin,

Oxana Balabaeva,

Svetlana Tokareva,

Evgeny A. Semenishchev,

Vladimir Dub

Publication year - 2017

Publication title -

serbian journal of electrical engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.133

H-Index - 5

eISSN - 2217-7183

pISSN - 1451-4869

DOI - 10.2298/sjee1703401v

Subject(s) - active contour model , segmentation , artificial intelligence , visualization , computer science , image segmentation , computer vision , scale space segmentation , medical imaging , image (mathematics) , pattern recognition (psychology) , segmentation based object categorization

Image data is of major practical importance in medical informatics. Accurate segmentation of medical images largely determines the final result of image analysis, which provides significant information for 3D visualization, surgical planning and early detection of diseases. In this paper, a modified segmentation approach based on the active contour method is proposed to extract parts of bones from MRI data sets. The efficiency of the method is verified on real MRI slices. Good results are shown in comparison with existing approaches of segmentation of medical data.

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