Simultaneous segmentation and inhomogeneity correction in magnetic resonance images

Yue Li; Julie Hoover-Fong; John A. Carrino; Susumu Mori

doi:10.1109/IEMBS.2011.6091984

Simultaneous segmentation and inhomogeneity correction in magnetic resonance images

Yue Li, Julie Hoover-Fong, John A. Carrino, Susumu Mori

School of Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

In Magnetic Resonance Imaging (MRI), intensity inhomogeneity has been an issue affecting the quality of post processing. In this paper, we present a simultaneous segmentation and inhomogeneity correction (IC) method based on active contour algorithm. It uses a generative model which is a modified Mumford-Shah functional proposed by Chan and Vese. The piecewise constant image model in the functional is multiplied by an underlying intensity inhomogeneity field. The inhomogeneity field and piecewise constant function are jointly estimated in an iterative way including solving the associated contour evolution equation and updating corresponding parameters. The algorithm is implemented using the level set framework. Test on MRI leg data shows our method achieves more accurate segmentation and IC results than other related methods in MR images with strong intensity inhomogeneity.

Original language	English (US)
Title of host publication	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Pages	8045-8048
Number of pages	4
DOIs	https://doi.org/10.1109/IEMBS.2011.6091984
State	Published - 2011
Event	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States Duration: Aug 30 2011 → Sep 3 2011

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)	1557-170X

Other

Other	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Country/Territory	United States
City	Boston, MA
Period	8/30/11 → 9/3/11

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

Access to Document

10.1109/IEMBS.2011.6091984

Cite this

Li, Y., Hoover-Fong, J., Carrino, J. A., & Mori, S. (2011). Simultaneous segmentation and inhomogeneity correction in magnetic resonance images. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 (pp. 8045-8048). Article 6091984 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). https://doi.org/10.1109/IEMBS.2011.6091984

Simultaneous segmentation and inhomogeneity correction in magnetic resonance images. / Li, Yue ; Hoover-Fong, Julie; Carrino, John A. et al.
33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. p. 8045-8048 6091984 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Li, Y , Hoover-Fong, J, Carrino, JA & Mori, S 2011, Simultaneous segmentation and inhomogeneity correction in magnetic resonance images. in 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011., 6091984, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 8045-8048, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011, Boston, MA, United States, 8/30/11. https://doi.org/10.1109/IEMBS.2011.6091984

Li Y , Hoover-Fong J, Carrino JA, Mori S. Simultaneous segmentation and inhomogeneity correction in magnetic resonance images. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. p. 8045-8048. 6091984. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/IEMBS.2011.6091984

Li, Yue ; Hoover-Fong, Julie ; Carrino, John A. et al. / Simultaneous segmentation and inhomogeneity correction in magnetic resonance images. 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. pp. 8045-8048 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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abstract = "In Magnetic Resonance Imaging (MRI), intensity inhomogeneity has been an issue affecting the quality of post processing. In this paper, we present a simultaneous segmentation and inhomogeneity correction (IC) method based on active contour algorithm. It uses a generative model which is a modified Mumford-Shah functional proposed by Chan and Vese. The piecewise constant image model in the functional is multiplied by an underlying intensity inhomogeneity field. The inhomogeneity field and piecewise constant function are jointly estimated in an iterative way including solving the associated contour evolution equation and updating corresponding parameters. The algorithm is implemented using the level set framework. Test on MRI leg data shows our method achieves more accurate segmentation and IC results than other related methods in MR images with strong intensity inhomogeneity.",

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Simultaneous segmentation and inhomogeneity correction in magnetic resonance images

Abstract

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