Publications (5)0 Total impact
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Article: Consistency of parametric registration in serial MRI studies of brain tumor progression
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ABSTRACT: Object The consistency of parametric registration in multi-temporal magnetic resonance (MR) imaging studies was evaluated. Materials and methods Serial MRI scans of adult patients with a brain tumor (glioma) were aligned by parametric registration. The performance of low-order spatial alignment (6/9/12 degrees of freedom) of different 3D serial MR-weighted images is evaluated. A registration protocol for the alignment of all images to one reference coordinate system at baseline is presented. Registration results were evaluated for both, multimodal intra-timepoint and mono-modal multi-temporal registration. The latter case might present a challenge to automatic intensity-based registration algorithms due to ill-defined correspondences. The performance of our algorithm was assessed by testing the inverse registration consistency. Four different similarity measures were evaluated to assess consistency. Results Careful visual inspection suggests that images are well aligned, but their consistency may be imperfect. Sub-voxel inconsistency within the brain was found for allsimilarity measures used for parametric multi-temporal registration. T1-weighted images were most reliable for establishing spatial correspondence between different timepoints. Conclusions The parametric registration algorithm is feasible for use in this application. The sub-voxel resolution mean displacement error of registration transformations demonstrates that the algorithm converges to an almost identical solution for forward and reverse registration.International Journal of Computer Assisted Radiology and Surgery. 09/2008; 3:201-211. -
Article: Consistency of parametric registration in serial MRI studies of brain tumor progression.
Int. J. Computer Assisted Radiology and Surgery. 01/2008; 3:201-211. -
Conference Proceeding: Registration of Rcbv and Adc Maps with Structural and Physiological Mr Images in Glioma Patients: Study and Validation.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Washington, DC, USA, April 12-16, 2007; 01/2007 -
Chapter: Image registration of structural and physiological MR images of abnormal anatomy
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ABSTRACT: This study applies image registration techniques to combine functional and structural information derived from multi-modal magnetic resonance imaging in patients diagnosed with brain gliomas. The images vary substantially in resolution, signal-to-noise ratio, information content and field of view and therefore pose a challenging registration problem. Specific protocols have been designed for each registration task, with careful selection of critical parameters and appropriate pre-processing. In addition, we have developed a visual assessment protocol to evaluate the accuracy of the proposed methods. Preliminary results suggest that registrations errors are below the functional image resolutions, thus achieving sub-voxel accuracy.01/2007: pages 211-216; -
Chapter: Modelling Tumour Growth Patterns with Non-Rigid Image Registration
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ABSTRACT: We present a registration-based approach to model growth of glioma tumours seen in serial magnetic resonance imaging. Two state-of-the-art intensity-based non-rigid registration methods are investigated for their ability to compensate for the mass effect of the tumour. Both methods perform well and volume change estimates correlate well with manual delineation. However the complex structural and functional changes in glioma cannot be fully resolved by intensity-based methods due to the profound changes in morphology and appearance associated with glioma progression.12/2006: pages 139-144;
