Analysis of mesh-based motion compensation in wavelet lifting of dynamical 3-D+t CT data

TL;DR

This paper explores mesh-based motion compensation in wavelet lifting for 3-D+t CT data, demonstrating improved scalability and comparable coding results to JPEG 2000 through smooth tissue movement compensation.

Contribution

It introduces a mesh-based motion compensation method within wavelet lifting for dynamic CT data, enhancing scalability while maintaining coding quality.

Findings

Mesh-based compensation effectively handles tissue expansion and compression.

Coding results are comparable to JPEG 2000 slice-wise coding.

Scalable temporal representation is achieved with the proposed method.

Abstract

Factorized in the lifting structure, the wavelet transform can easily be extended by arbitrary compensation methods. Thereby, the transform can be adapted to displacements in the signal without losing the ability of perfect reconstruction. This leads to an improvement of scalability. In temporal direction of dynamic medical 3-D+t volumes from Computed Tomography, displacement is mainly given by expansion and compression of tissue. We show that these smooth movements can be well compensated with a mesh-based method. We compare the properties of triangle and quadrilateral meshes. We also show that with a mesh-based compensation approach coding results are comparable to the common slice wise coding with JPEG 2000 while a scalable representation in temporal direction can be achieved.