Quantification of time-dependent changes in three-dimensional morphology of brain structures and neural pathways is a fundamental requirement in studies of neurodevelopment, remodeling and progression of neurological diseases [1]. However, local measures of this kind are extremely difficult due to a lack of clear fiducials. Our motivation to develop a reliable technique to quantify time-dependent changes in neuroanatomy originated with the problem of tracking progression of Niemann-Pick disease type C (NP-C), a heritable disease that causes alterations in brain development [2].

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