Population-based Respiratory 4D Motion Atlas Construction and its Application for VR Simulations of Liver Punctures

TL;DR

This paper presents a novel method for constructing and utilizing population-based 4D motion atlases to enhance VR liver puncture training, reducing the need for expensive individual 4D data acquisition.

Contribution

It introduces the creation and reuse of population-based 4D motion models for VR simulations, improving efficiency and reducing data acquisition costs.

Findings

Successful construction of a 4D motion atlas

Effective warping of mean atlas motion for new patients

Potential to reduce 4D data acquisition requirements

Abstract

Virtual reality (VR) training simulators of liver needle insertion in the hepatic area of breathing virtual patients currently need 4D data acquisitions as a prerequisite. Here, first a population-based breathing virtual patient 4D atlas can be built and second the requirement of a dose-relevant or expensive acquisition of a 4D data set for a new static 3D patient can be mitigated by warping the mean atlas motion. The breakthrough contribution of this work is the construction and reuse of population-based learned 4D motion models.