Abstract
Multimodality image registration is a critical issue in image-guided cancer ablation techniques. Focal therapies of prostate cancer are usually monitored using ultrasound imaging, while the dose planning is performed on MRI. In this study, a new multimodality images registration and deformation method, based on the Thin Plate Splines-Robust Point Matching (TPS-RPM) algorithm, is introduced. The Method combines nonrigid mapping and interpolation to deform the images. Preliminary results obtained on phantom and clinical images showed that the registration is accurate and robust against landmarks initialization.
| Translated title of the contribution | A non rigid registration and deformation algorithm for ultrasound and MR images to guide prostate cancer therapies |
|---|---|
| Original language | French |
| Pages (from-to) | 284-287 |
| Number of pages | 4 |
| Journal | IRBM |
| Volume | 32 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - Nov 2011 |
| Publication type | A1 Journal article-refereed |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
ASJC Scopus subject areas
- Biophysics
- Biomedical Engineering
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