Automatic image processing solutions for MRI-guided minimally invasive intervention planning
Files
Publication date
2016-12-20
Authors
Noorda, Yolanda H.
Editors
Advisors
DOI
Document Type
Dissertation
Metadata
Show full item recordCollections
License
Abstract
In this thesis, automatic image processing methods are discussed for the purpose of improving treatment planning of MRI-guided minimally invasive interventions. Specifically, the following topics are addressed: rib detection in MRI, liver motion modeling in MRI and MR-CT registration of planning image for HIFU treatment.
Keywords
image processing, liver motion modeling, rib detection, registration, MRI, image-guided interventions
Citation
Noorda, YH 2016, 'Automatic image processing solutions for MRI-guided minimally invasive intervention planning', UMC Utrecht.