Shape analysis of neuroanatomical structures has proven useful in the study of
neuropathology and neurodevelopment. Advances in medical imaging have made it …

Modeling, characterization and analysis of biological shapes and forms are important in
many computational biology studies. Shape representation challenges span the spectrum …

We present a novel method of statistical surface-based morphometry based on the use of
non-parametric permutation tests and a spherical wavelet (SWC) shape representation. As …

We introduce the use of over-complete spherical wavelets for shape analysis of 2D closed
surfaces. Bi-orthogonal spherical wavelets have been shown to be powerful tools in the …

This paper presents a new approach for the morphometrical characterization of brain
structures using shape features calculated from normal fields. An orientable surface …

To characterize the brain changes associated with aging, we detect brain cortex variability
through a spherical harmonic analysis that represents a 3D surface supported by the unit …

Using spherical harmonics of an inverse conformal map, we compared hippocampal
surfaces of sixteen Alzheimer (AD) and fourteen control subjects. Hippocampal surfaces …

We present a framework for analyzing the shape of structures within the human brain. A
mathematical model is developed describing the deformation of any brain structure whose …

The geometric shape of the human cerebral cortex is characterized by its complex and
variable folding patterns. This pattern can be described at different scales from local scale …

This paper presents a novel multiscale shape representation and segmentation algorithm
based on the spherical wavelet transform. This work is motivated by the need to compactly …