MRI modalitiy transformation in demon registration

• Published in: 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro pp. 963 - 966
• Main Authors: Kroon, D.-J., Slump, C.H.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2009
• Subjects: Biomedical imaging; Equations; Histograms; Image registration; Image segmentation; Iterative algorithms; Lesions; Magnetic analysis; Magnetic resonance imaging; Niobium
• ISBN: 1424439310; 9781424439317
• ISSN: 1945-7928
• DOI: 10.1109/ISBI.2009.5193214

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.