Medizinische Universität Graz - Research portal
Selected Publication:
SHR Neuro Cancer Cardio Lipid Metab Microb
Winkler, P; Jakse, G; Lodron, G; Uray, M; Mayer, H; Kapp, KS.
Adaptive Radiotherapy Using Deformable Image Registration - A Concept for Individualised Radiation Treatments.
Biomed Tech (Berl). 2013; 58 Suppl 1(1):
Doi: 10.1515/bmt-2013-4044
Web of Science
PubMed
FullText
FullText_MUG
- Leading authors Med Uni Graz
- Winkler Peter
- Co-authors Med Uni Graz
- Jakse Gabriele
- Kapp Karin S.
- Altmetrics:
- Dimensions Citations:
- Plum Analytics:
- Scite (citation analytics):
- Abstract:
- We introduce a concept for continuous adaptation of radiation treatment plans and optimisation of dose distributions in treatments for head-and-neck cancer. This approach is based on a modified-daemons-type deformable image registration algorithm for the elastic propagation of tissue-delineations to consecutive CT-scans. We found that both dose coverage of target volumes and sparing of healthy tissues can be improved by using this approach. Furthermore our software enables us to prognosticate dosimetric changes based on statistical analysis of deformation vectors, thus reducing the reducing the workload in adaptive radiation therapy.
- Find related publications in this database (Keywords)
- adaptive radiation therapy
- deformable image registration
- head-and neck cancer