Uncertainty estimation for improving accuracy of non-rigid registration in cardiac images

Uncertainty estimation for improving accuracy of non-rigid registration in cardiac images

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In order to utilize both computed tomography (CT) and echocardiography images of the heart for medical applications such as diagnosis and image guided intervention concurrently, non-rigid registration is an essential task. A challenging but important problem in image registration is evaluating the p...

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Bibliographic Details
Main Authors: Alhajj R. (Author), Chbeir R. (Author), Dimon, M.Z (Author), Khalid, F. (Author), Maglogiannis I. (Author), Manolopoulos Y. (Author), Mazaheri, S. (Author), Sulaiman, P.S (Author), Tayebi, R.M (Author), Wirza, R. (Author)
Format: Article
Language:English
Published: Springer New York LLC 2015
Subjects:
Artificial intelligence
Computed Tomography (CT)
Computerized tomography
Echocardiography
Echocardiography Images
Feature-based
Hybrid. Featurebased
Image enhancement
Image fusion
Image registration
Image-guided Intervention
Intensity-based
Medical applications
Medical imaging
Multimodality image registration
Multimodality Image Registration
Registration algorithms
Uncertainty
Uncertainty analysis
Uncertainty quantifications
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