Skip to main navigation Skip to search Skip to main content

Image registration with sliding motion constraints for 4D CT motion correction

Alexander Derksen, Stefan Heldmann, Thomas Polzin, Benjamin Berkels

Abstract

A common assumption in medical image registration is that the estimation of a globally continuous deformation field is plausible in reality. However, a sliding behavior of adjacent organ boundaries (e.g. lung and ribcage) cannot be described in a plausible way by a continuous deformation field. In this paper, we address this issue with a novel registration framework that explicitly models sliding of interfaces and can preserve discontinuities in the deformation field along predefined organ boundaries. Incorporated methods involve constrained nonlinear registration and a finite element discretization on unstructured tetrahedral meshes. Evaluation is based on the freely available DIR-Lab datasets.

Original languageEnglish
Title of host publicationBildverarbeitung für die Medizin 2015
PublisherSpringer Vieweg, Wiesbaden
Publication date01.01.2015
Publication statusPublished - 01.01.2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Fingerprint

Dive into the research topics of 'Image registration with sliding motion constraints for 4D CT motion correction'. Together they form a unique fingerprint.

Cite this