Registration of rCBV and ADC Maps with Structural and Physiological MR Images in Glioma Patients: Study and Validation

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

Abstract

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.

Original languageEnglish
Title of host publication2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Number of pages4
PublisherIEEE
Publication date27.11.2007
Pages37-40
Article number4193216
ISBN (Print)1-4244-0671-4, 1-4244-0672-2
DOIs
Publication statusPublished - 27.11.2007
Event2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Arlington, United States
Duration: 12.04.200715.04.2007
Conference number: 70642

Fingerprint

Dive into the research topics of 'Registration of rCBV and ADC Maps with Structural and Physiological MR Images in Glioma Patients: Study and Validation'. Together they form a unique fingerprint.

Cite this