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Mang, A.* ; Camara, O.* ; Brasil-Caseiras, G.* ; Crum, W.R.* ; Schnabel, J.A.* ; Buzug, T.M.* ; Rees, J.* ; Thornton, J.* ; Jäger, H.R.* ; Hawkes, D.J.*

Registration of RCBV and ADC maps with structural and physiological MR images in glioma patients: Study and validation.

In: (Proceedings of IEEE Symposium on Computer-Based Medical Systems (CBMS), 12-15 April 2007, Arlington, VA, USA). 2007. 37-40 (2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings)
DOI
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. © 2007 IEEE.
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Publikationstyp Artikel: Konferenzbeitrag
Korrespondenzautor
Schlagwörter Glioma Tumors ; Image Registration ; Magnetic Resonance Imaging
Konferenztitel Proceedings of IEEE Symposium on Computer-Based Medical Systems (CBMS)
Konferzenzdatum 12-15 April 2007
Konferenzort Arlington, VA, USA
Quellenangaben Band: , Heft: , Seiten: 37-40 Artikelnummer: , Supplement: ,
Nichtpatentliteratur Publikationen
Institut(e) Institute for Machine Learning in Biomed Imaging (IML)