Characterizing growth patterns in longitudinal MRI using image contrast

Update item information
Publication Type pre-print
School or College <blank>
Department <blank>
Creator Gerig, Guido
Other Author Vardhan, Avantika; Prastawa, Marcel; Vachet, Clement; Piven, Joseph
Title Characterizing growth patterns in longitudinal MRI using image contrast
Date 2014-01-01
Description Understanding the growth patterns of the early brain is crucial to the study of neuro-development. In the early stages of brain growth, a rapid sequence of biophysical and chemical processes take place. A crucial component of these processes, known as myelination, consists of the formation of a myelin sheath around a nerve fiber, enabling the effective transmission of neural impulses. As the brain undergoes myelination, there is a subsequent change in the contrast between gray matter and white matter as observed in MR scans. In this work, gray-white matter contrast is proposed as an effective measure of appearance which is relatively invariant to location, scanner type, and scanning conditions. To validate this, contrast is computed over various cortical regions for an adult human phantom. MR (Magnetic Resonance) images of the phantom were repeatedly generated using different scanners, and at different locations. Contrast displays less variability over changing conditions of scan compared to intensity-based measures, demonstrating that it is less dependent than intensity on external factors. Additionally, contrast is used to analyze longitudinal MR scans of the early brain, belonging to healthy controls and Down's Syndrome (DS) patients. Kernel regression is used to model subject-specific trajectories of contrast changing with time. Trajectories of contrast changing with time, as well as time-based biomarkers extracted from contrast modeling, show large differences between groups. The preliminary applications of contrast based analysis indicate its future potential to reveal new information not covered by conventional volumetric or deformation-based analysis, particularly for distinguishing between normal and abnormal growth patterns.
Type Text
Publisher International Society for Optical Engineering (SPIE)
Volume 9034
First Page 90340D-1
Last Page 90340D-8
Language eng
Bibliographic Citation Vardhan, A., Prastawa, M., Vachet, C., Piven, J., & Gerig, G. (2014). Characterizing growth patterns in longitudinal MRI using image contrast. Proceedings of Medical Imaging 2014: Image Processing, 9034, 90340D-1-90340D-8.
Rights Management (c)Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. http://dx.doi.org/doi: 10.1117/12.2043995.
Format Medium application/pdf
Format Extent 648,403 bytes
Identifier uspace,18987
ARK ark:/87278/s6sx9p9p
Setname ir_uspace
Date Created 2014-10-17
Date Modified 2014-10-20
ID 712705
Reference URL https://collections.lib.utah.edu/ark:/87278/s6sx9p9p
Back to Search Results