A fully parallel algorithm for multimodal image registration using normalized gradient fields

We present a super fast variational algorithm for the challenging problem of multimodal image registration. It is capable of registering full-body CT and PET images in about a second on a standard CPU with virtually no memory requirements. The algorithm is founded on a Gauss-Newton optimization sche...

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Bibliographic Details

Published in:	2013 IEEE 10th International Symposium on Biomedical Imaging pp. 572 - 575
Main Authors:	Ruhaak, J., Konig, L., Hallmann, M., Papenberg, N., Heldmann, S., Schumacher, H., Fischer, B.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.04.2013
Subjects:	Accuracy Algorithm design and analysis Biomedical imaging Computational efficiency Computed tomography Image registration Linear programming Parallel algorithms Positron emission tomography
ISBN:	1467364568, 9781467364560
ISSN:	1945-7928
Online Access:	Get full text
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