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20192025
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eess.IV2024

Highly efficient non-rigid registration in k-space with application to cardiac Magnetic Resonance Imaging

Aya Ghoul, Kerstin Hammernik, Andreas Lingg +4

In Magnetic Resonance Imaging (MRI), high temporal-resolved motion can be useful for image acquisition and reconstruction, MR-guided radiotherapy, dynamic contrast-enhancement, flo…

eess.IV2022

Learning-based and unrolled motion-compensated reconstruction for cardiac MR CINE imaging

Jiazhen Pan, Daniel Rueckert, Thomas Küstner +1

Motion-compensated MR reconstruction (MCMR) is a powerful concept with considerable potential, consisting of two coupled sub-problems: Motion estimation, assuming a known image, an…

eess.IV2020

Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation

Karim Armanious, Sherif Abdulatif, Wenbin Shi +6

The concept of biological age (BA), although important in clinical practice, is hard to grasp mainly due to the lack of a clearly defined reference standard. For specific applicati…

eess.IV2019

Unsupervised Adversarial Correction of Rigid MR Motion Artifacts

Karim Armanious, Aastha Tanwar, Sherif Abdulatif +3

Motion is one of the main sources for artifacts in magnetic resonance (MR) images. It can have significant consequences on the diagnostic quality of the resultant scans. Previously…

eess.IV2019

Organ-based Chronological Age Estimation based on 3D MRI Scans

Karim Armanious, Sherif Abdulatif, Anish Rao Bhaktharaguttu +4

Individuals age differently depending on a multitude of different factors such as lifestyle, medical history and genetics. Often, the global chronological age is not indicative of…