| Paper: | TA-L5.4 |
| Session: | Biomedical Imaging II: MRI and Segmentation |
| Time: | Tuesday, September 18, 10:50 - 11:10 |
| Presentation: |
Lecture
|
| Title: |
PCA-BASED IMAGE REGISTRATION : APPLICATION TO ON-LINE MR TEMPERATURE MONITORING OF MOVING TISSUES |
| Authors: |
Gregory Maclair; LaBRI | | |
| | Baudouin Denis de Senneville; Laboratory for Molecular and Functional Imaging | | |
| | Mario Ries; Laboratory for Molecular and Functional Imaging | | |
| | Bruno Quesson; Laboratory for Molecular and Functional Imaging | | |
| | Pascal Desbarats; LaBRI | | |
| | Jenny Benois-Pineau; LaBRI | | |
| | Chrit T. W. Moonen; Laboratory for Molecular and Functional Imaging | | |
| Abstract: |
Real-time Magnetic Resonance (MR) thermometry provides continuous temperature mapping inside the human body and is therefore a promising tool to monitor and control interventional therapies based on thermal ablation. Temperature information must be mapped to a reference position of observed organs in order to allow thermal dose computation, as the history of temperature is required for each pixel. While purely optical-flow-based realignment may lead to temperature map computation errors for the case of local or global intensity changes, Principal Component Analysis based realignment results in accurately registered temperature maps. |
