A novel learning based segmentation method for rodent brain structures using MRI

Jinghao Zhou, Sukmoon Chang, Qingshan Liu, George Pappas, Vasilios Boronikolas, Michael Michaelides, Nora D. Volkow, Panayotis K. Thanos, Dimitris Metaxas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper reports a novel method for fully automated segmentation of rodent brain volume by extending the robust active shape models to incorporate an automatic prior shape selection process. This automatic prior shape selection process using support vector machines provides an automatic shape initialization method for further segmentation of rodent brain structures such as Cerebellum, Neocortex, Corpus Callosum, External Capsule, Caudate Putamen, Hippocampus and Ventricles with the robust active shape model framework in magnetic resonance images (MRI). The mean successful rate of this classification method shows 92.2% accuracy compared to the expert-defined ground truth. We also demonstrate the very promising segmentation results of the robust active shape model framework in rodent brain volume.

Original languageEnglish (US)
Title of host publication2008 5th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, Proceedings, ISBI
Pages61-64
Number of pages4
DOIs
StatePublished - Sep 10 2008
Event2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI - Paris, France
Duration: May 14 2008May 17 2008

Publication series

Name2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI

Other

Other2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI
CountryFrance
CityParis
Period5/14/085/17/08

Fingerprint

Magnetic resonance
Brain
Support vector machines
Rodentia

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

Cite this

Zhou, J., Chang, S., Liu, Q., Pappas, G., Boronikolas, V., Michaelides, M., ... Metaxas, D. (2008). A novel learning based segmentation method for rodent brain structures using MRI. In 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI (pp. 61-64). [4540932] (2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI). https://doi.org/10.1109/ISBI.2008.4540932
Zhou, Jinghao ; Chang, Sukmoon ; Liu, Qingshan ; Pappas, George ; Boronikolas, Vasilios ; Michaelides, Michael ; Volkow, Nora D. ; Thanos, Panayotis K. ; Metaxas, Dimitris. / A novel learning based segmentation method for rodent brain structures using MRI. 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI. 2008. pp. 61-64 (2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI).
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title = "A novel learning based segmentation method for rodent brain structures using MRI",
abstract = "This paper reports a novel method for fully automated segmentation of rodent brain volume by extending the robust active shape models to incorporate an automatic prior shape selection process. This automatic prior shape selection process using support vector machines provides an automatic shape initialization method for further segmentation of rodent brain structures such as Cerebellum, Neocortex, Corpus Callosum, External Capsule, Caudate Putamen, Hippocampus and Ventricles with the robust active shape model framework in magnetic resonance images (MRI). The mean successful rate of this classification method shows 92.2{\%} accuracy compared to the expert-defined ground truth. We also demonstrate the very promising segmentation results of the robust active shape model framework in rodent brain volume.",
author = "Jinghao Zhou and Sukmoon Chang and Qingshan Liu and George Pappas and Vasilios Boronikolas and Michael Michaelides and Volkow, {Nora D.} and Thanos, {Panayotis K.} and Dimitris Metaxas",
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Zhou, J, Chang, S, Liu, Q, Pappas, G, Boronikolas, V, Michaelides, M, Volkow, ND, Thanos, PK & Metaxas, D 2008, A novel learning based segmentation method for rodent brain structures using MRI. in 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI., 4540932, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI, pp. 61-64, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI, Paris, France, 5/14/08. https://doi.org/10.1109/ISBI.2008.4540932

A novel learning based segmentation method for rodent brain structures using MRI. / Zhou, Jinghao; Chang, Sukmoon; Liu, Qingshan; Pappas, George; Boronikolas, Vasilios; Michaelides, Michael; Volkow, Nora D.; Thanos, Panayotis K.; Metaxas, Dimitris.

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI. 2008. p. 61-64 4540932 (2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Zhou J, Chang S, Liu Q, Pappas G, Boronikolas V, Michaelides M et al. A novel learning based segmentation method for rodent brain structures using MRI. In 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI. 2008. p. 61-64. 4540932. (2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI). https://doi.org/10.1109/ISBI.2008.4540932