Using Atom-Like Local Image Features to Study Human Genetics and Neuroanatomy in Large Sets of 3D Medical Image Volumes. (arXiv:2208.12361v1 [eess.IV])

The contributions of this thesis stem from technology developed to analyse
large sets of volumetric images in terms of atom-like features extracted in 3D
image space, following SIFT algorithm in 2D image space. New feature properties
are introduced including a binary feature sign, analogous to an electrical
charge, and a discrete set of symmetric feature orientation states in 3D space.
These new properties are leveraged to extend feature invariance to include the
sign inversion and parity (SP) transform, analogous to …

3d arxiv features genetics human image medical study