MRI modalitiy transformation in demon registration

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 tra...

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Bibliographic Details
Published in2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro pp. 963 - 966
Main Authors Kroon, D.-J., Slump, C.H.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2009
Subjects
Biomedical imaging
Equations
Histograms
Image registration
Image segmentation
Iterative algorithms
Lesions
Magnetic analysis
Magnetic resonance imaging
Niobium
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ISBN1424439310
9781424439317
ISSN1945-7928
DOI10.1109/ISBI.2009.5193214

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Summary: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.
ISBN:1424439310
9781424439317
ISSN:1945-7928
DOI:10.1109/ISBI.2009.5193214