The main goal of this study is to use image registration techniques to combine functional and structural information from different MR-derived images (ADC and rCBV maps, contrast enhanced T1-weighted MR images) in patients diagnosed with brain gliomas. This is a particularly challenging registration problem due to the diverse image characteristics and to the inconsistency between structural and functional image features. Specific registration protocols have been designed, including the selection of critical parameters, for the alignment of the multi-modal information. In addition, we have developed a visual assessment protocol to evaluate the accuracy of registration results obtained with the proposed methods. Preliminary results suggest that misregistration errors are below the functional image resolutions, thus achieving sub-voxel accuracy.
|Title of host publication
|2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro
|Number of pages
|Published - 27.11.2007
|2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Arlington, United States
Duration: 12.04.2007 → 15.04.2007
Conference number: 70642