Abstract
Static representations of brain structure are inherently ill-suited to determining the complex dynamics of brain development. The dynamic nature of growth and degenerative disease processes mandates the design of tools to detect, track and quantify neuroanatomic change in its full spatial and temporal complexity. We describe several algorithms which create 4-dimensional quantitative maps of growth patterns in the developing human brain. These algorithms were used to analyze time-series of high-resolution pediatric MRI scans. The resulting tensor maps of growth provided spatially-detailed information on local growth patterns, quantifying rates of tissue maturation, atrophy, shearing and dilation in the dynamically changing brain architecture.
Original language | English |
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Pages (from-to) | S38 |
Journal | NeuroImage |
Volume | 7 |
Issue number | 4 PART II |
DOIs | |
State | Published - 1998 |
Externally published | Yes |