Quantifying brain development in early childhood using segmentation and registration

P. Aljabar; K. K. Bhatia; M. Murgasova; J. V. Hajnal; J. P. Boardman; L. Srinivasan; M. A. Rutherford; L. E. Dyet; A. D. Edwards M.D.; D. Rueckert

doi:10.1117/12.706508

26 March 2007 Quantifying brain development in early childhood using segmentation and registration

P. Aljabar, K. K. Bhatia, M. Murgasova, J. V. Hajnal, J. P. Boardman, L. Srinivasan, M. A. Rutherford, L. E. Dyet, A. D. Edwards M.D., D. Rueckert

Author Affiliations +

Proceedings Volume 6512, Medical Imaging 2007: Image Processing; 65120O (2007) https://doi.org/10.1117/12.706508
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

In this work we obtain estimates of tissue growth using longitudinal data comprising MR brain images of 25 preterm children scanned at one and two years. The growth estimates are obtained using segmentation and registration based methods. The segmentation approach used an expectation maximisation (EM) method to classify tissue types and the registration approach used tensor based morphometry (TBM) applied to a free form deformation (FFD) model. The two methods show very good agreement indicating that the registration and segmentation approaches can be used interchangeably. The advantage of the registration based method, however, is that it can provide more local estimates of tissue growth. This is the first longitudinal study of growth in early childhood, previous longitudinal studies have focused on later periods during childhood.

Citation Download Citation

P. Aljabar, K. K. Bhatia, M. Murgasova, J. V. Hajnal, J. P. Boardman, L. Srinivasan, M. A. Rutherford, L. E. Dyet, A. D. Edwards M.D., and D. Rueckert "Quantifying brain development in early childhood using segmentation and registration", Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 65120O (26 March 2007); https://doi.org/10.1117/12.706508

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available