Neonatal brain MR image segmentation based on system-of-systems in engineering technology

Author

Hashioka, Aya ; Yamaguchi, Kosuke ; Kobashi, Syoji ; Wakata, Yuki ; Ando, Kumiko ; Ishikura, Reiichi ; Kuramoto, Kei ; Ishikawa, Tomomoto ; Hirota, Shozo ; Hata, Yutaka

Author_Institution

Grad. Sch. of Eng., Univ. of Hyogo, Himeji, Japan

fYear

2011

fDate

27-30 June 2011

Firstpage

107

Lastpage

112

Abstract

Measurement of cerebral volume and surface area using magnetic resonance (MR) image is effective for quantitative diagnosis of cerebral diseases. The measurement should require a brain segmentation process. Although many approaches for adult brain have been studied, there are few studies for neonatal brain. This study proposes a brain segmentation method for neonatal brain. Based on system of systems engineering technology, the proposed approach is composed from two systems; automated fuzzy logic based skull striping (AFSS) system and contour shape based modeling (CSM) system. AFSS segments the cerebral region based on Bayesian classification with Gaussian mixture model. CSM evaluates the skull stripping result of AFSS, and updates AFSS system parameters. Experimental results in 34 neonates (revised age between -2 weeks 1 day and 2 years 5 months) showed that the proposed approach segmented the brain region with sensitivity of 98.1% and false-positive rate of 27.9%.

Keywords

Bayes methods; Gaussian processes; biomedical MRI; brain; diseases; fuzzy logic; image classification; image segmentation; Bayesian classification; Gaussian mixture model; automated fuzzy logic; cerebral diseases; cerebral volume measurement; contour shape based modeling; engineering technology; magnetic resonance image; neonatal brain MR image segmentation; quantitative diagnosis; skull striping system; surface area; system-of-systems; Accuracy; Bayesian methods; Head; Image segmentation; Pediatrics; Sensitivity; Shape; MR image; brain segmentation; cerebral surface; neonates; skull stripping;

fLanguage

English

Publisher

ieee

Conference_Titel

System of Systems Engineering (SoSE), 2011 6th International Conference on

Conference_Location

Albuquerque, NM

Print_ISBN

978-1-61284-783-2

Type

conf

DOI

10.1109/SYSOSE.2011.5966582

Filename

5966582