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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kroon, D.-J. Slump, C.H. |
| Copyright Year | 2009 |
| Description | Author affiliation: University of Twente, Institute for Biomedical Technology & Technical Medicine, Drienerlolaan 5, 7522 NB Enschede, The Netherlands (Kroon, D.-J.; Slump, C.H.) |
| Abstract | Nonrigid local image registration plays an important role in medical imaging. In this paper we focus on demon registration which is introduced by Thirion [1], and is comparable to fluid registration. Because demon registration cannot deal with multiple MRI modalities, we introduce a MRI modality transformation which changes the representation of a T1 scan into a T2 scan using the peaks in a joint histogram. We compare the performance between demon registration with modality transformation, demon registration with gradient images and Rueckerts [2] B-spline based free form deformation method in combination with mutual information. For this test we use perfectly aligned T1 and T2 slices from the BrainWeb database [3], which we local spherically distort. In conclusion demon registration with modality transformation gives the smallest registration errors, in case of local large spherical distortions and small bias fields. |
| Starting Page | 963 |
| Ending Page | 966 |
| File Size | 347895 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424439317 |
| ISSN | 19457928 |
| DOI | 10.1109/ISBI.2009.5193214 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-28 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Magnetic resonance imaging Equations Image registration Lesions Image segmentation Biomedical imaging Histograms Magnetic analysis Iterative algorithms Niobium |
| Content Type | Text |
| Resource Type | Article |
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