Volumetric Motion Magnification: Subtle Motion Extraction from 4D Data

The extension of Phase-based Video Motion Magnification into three-dimensions is presented in this work. The technique uses a 3D complex steerable pyramid to decompose volumetric frames of 4D dataset. The resulting decomposition can be processed to filter, amplify, or attenuate subtle motions occurring locally within the 4D data, before inversion of the transform is performed to recreate the volumetric images. Recent research has used Phase Based Video Motion Magnification to extract subtle motion from 2D slices of internal deformation data. This work demonstrates how Phase Based Video Motion Magnification can be extended to work on full volumetric images to extract full 3D volumetric motions. The Volumetric Motion Magnification technique is demonstrated qualitatively, to amplify and extract the indiscernible motion of a cylinder for visual identification. Then, the ability of the technique to enhance the motion noise floor of Digital Volume Correlation by more than a factor of 10 is demonstrated.