Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)

An improved method of MRI segmentation based on level set

Authors
Zuojun Liu, Lihong Li
Corresponding Author
Zuojun Liu
Available Online March 2017.
DOI
10.2991/ifmca-16.2017.12How to use a DOI?
Keywords
MRI segmentation; level set; internal energy; re-initialization; external energy
Abstract

In traditional method of MRI segmentation based on level set, there is a question that the level set function deeds periodical re-initialization which will cost lots of times. In order to solve this problem, a simple internal energy is introduced in the energy function to eliminate the cost of periodical re-initialization. On the other hand, an external energy is introduced to get better robust in segmentation of noisy MRI. Proved by lots of experiments, the method proposed in this paper is efficient in solving the question of re-initialization with better robustness.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
10.2991/ifmca-16.2017.12
ISSN
2352-5401
DOI
10.2991/ifmca-16.2017.12How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zuojun Liu
AU  - Lihong Li
PY  - 2017/03
DA  - 2017/03
TI  - An improved method of MRI segmentation based on level set
BT  - Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
PB  - Atlantis Press
SP  - 72
EP  - 76
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifmca-16.2017.12
DO  - 10.2991/ifmca-16.2017.12
ID  - Liu2017/03
ER  -