DocumentCode
2572699
Title
Deformable registration of MR images using a hierarchical patch based approach with a normalized metric quality measure
Author
Erdt, Marius ; Steger, Sebastian ; Wesarg, Stefan
Author_Institution
Cognitive Comput. & Med. Imaging, Fraunhofer IGD, Darmstadt, Germany
fYear
2012
fDate
2-5 May 2012
Firstpage
1347
Lastpage
1350
Abstract
Magnitude Diffusion Weighted Magnetic Resonance Imaging (DW-MRI) is used to detect lesions in abdominal organs such as the liver. For diagnosis and interventional planning, DW-MRI needs to be registered with Magnetic Resonance (MRI) images in order to provide an anatomical context. DW-MRI usually generates images that contain large regions with only little image information. This makes it difficult to elastically register those images to images from other imaging modalities. In this work, we apply a deformable registration approach in order to register magnitude DW-MRI data with MRI images. A normalized quality measure is used to sort out local deformations in low image signal areas that cause non-plausible local deformations. An evaluation on 5 patients shows promising results.
Keywords
biodiffusion; biomechanics; biomedical MRI; elastic deformation; elasticity; image registration; liver; medical image processing; planning; MRI; abdominal organs; anatomical context; deformable image registration; elastic deformation; hierarchical patch based approach; image information; interventional planning; liver; magnitude diffusion weighted magnetic resonance imaging; nonplausible local deformations; normalized metric quality measurement; patient diagnosis; Biomedical imaging; Eigenvalues and eigenfunctions; Liver; Magnetic resonance imaging; Measurement; Registers; Transforms; Registration; diffusion weighted MR; metric assessment;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on
Conference_Location
Barcelona
ISSN
1945-7928
Print_ISBN
978-1-4577-1857-1
Type
conf
DOI
10.1109/ISBI.2012.6235815
Filename
6235815
Link To Document