High-Performance Motion Correction of Fetal MRI
File(s)EGauthorGuidelines-euroRV3_16.pdf (4.07 MB)
Accepted version
Author(s)
Type
Conference Paper
Abstract
Fetal Magnetic Resonance Imaging (MRI) shows promising results for pre-natal diagnostics. The detection of potentially lifethreatening
abnormalities in the fetus can be difficult with ultrasound alone. MRI is one of the few safe alternative imaging
modalities in pregnancy. However, to date it has been limited by unpredictable fetal and maternal motion during acquisition.
Motion between the acquisitions of individual slices of a 3D volume results in spatial inconsistencies that can be resolved by
slice-to-volume reconstruction (SVR) methods to provide high quality 3D image data. Existing algorithms to solve this problem
have evolved from very slow implementations targeting a single organ to general high-performance solutions to reconstruct the
whole uterus. In this paper we give a brief overview over the current state-of-the art in fetal motion compensation methods and
show currently emerging clinical applications of these techniques
abnormalities in the fetus can be difficult with ultrasound alone. MRI is one of the few safe alternative imaging
modalities in pregnancy. However, to date it has been limited by unpredictable fetal and maternal motion during acquisition.
Motion between the acquisitions of individual slices of a 3D volume results in spatial inconsistencies that can be resolved by
slice-to-volume reconstruction (SVR) methods to provide high quality 3D image data. Existing algorithms to solve this problem
have evolved from very slow implementations targeting a single organ to general high-performance solutions to reconstruct the
whole uterus. In this paper we give a brief overview over the current state-of-the art in fetal motion compensation methods and
show currently emerging clinical applications of these techniques
Date Issued
2016-06-06
Date Acceptance
2016-04-15
Citation
EuroVIS TBA
Publisher
Eurographics Digital Library
Journal / Book Title
EuroVIS TBA
Copyright Statement
© the authors
Source
EuroRVVV -- EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization
Publication Status
Accepted
Start Date
2016-06-06
Finish Date
2016-06-07
Coverage Spatial
Groningen, the Netherlands