An Automated Non-Rigid Registration Method for Accurate Quantification of Dynamic Contrast Enhanced MR Imaging (DCE-MRI) in Complex Adnexal Masses Employing Residual Complexity Framework

An Automated Non-Rigid Registration Method for Accurate Quantification of Dynamic Contrast Enhanced MR Imaging (DCE-MRI) in Complex Adnexal Masses Employing Residual Complexity Framework

Purpose: Quantification of dynamic contrast enhanced (DCE-) MRI of ovarian masses is susceptible to errors caused by motion artifacts and intensity inhomogeneity induced by bias fields. Motion artifacts and bias fields introduce signal intensity variations in the images that must be resolved from i...

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Bibliographic Details
Main Authors: Anahita Fathi Fathi Kazerooni, Mahnaz Nabil, Elaheh Kia, Mahrooz Malek, Hamidreza Saligheh Rad
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2016-12-01
Series:Frontiers in Biomedical Technologies
Subjects:
Motion Correction
DCE-MRI
Complex Adnexal Tumors
Ovarian Cancers
Non-rigid image registration
Online Access:https://fbt.tums.ac.ir/index.php/fbt/article/view/94

Internet

https://fbt.tums.ac.ir/index.php/fbt/article/view/94

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