Paper Abstract and Keywords |
Presentation |
2018-03-20 10:55
Temporally continuous Spatiotemporal Statistical Shape Model construction for the neonatal brain shape analysis Kento Morita, Alam Saadia Binte, Manabu Nii (Univ. of Hyogo), Yuki Wakata, Kumiko Ando, Reiichi Ishikura (Hyogo College of Medicine), Akinobu Shimizu (Tokyo University of Agriculture and Technology), Syoji Kobashi (Univ. of Hyogo) MI2017-90 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The number of neonates with development disorder is increasing in Japan. Very early intervention in development disorder is effective to decrease the symptom of the disorder, however, early detection of development disorder is difficult. We have proposed the spatiotemporal statistical shape model (stSSM) construction method for the very early detection of development disorder. Based on principal component analysis, our previous method constructs statistical shape models at arbitrary time points. However, our previous method cannot construct temporally continuous stSSM. This paper constructs the temporally continuous neonatal brain stSSM by regularizing Eigen vectors in time direction. The method has been validated by applying the method to 12 neonatal brains whose revised ages are between -5 to 200 days. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Neonatal Brain / spatiotempo Statistical Sahpe Model / Magnetic Resonance Image / Preemptive medicine / development disorder / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 518, MI2017-90, pp. 87-91, March 2018. |
Paper # |
MI2017-90 |
Date of Issue |
2018-03-12 (MI) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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MI2017-90 |
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