MRI Undersampled Reconstruction and Motion Correction. Quantitative multiparametric MRI. Cardiac MRI.

Postdoc positions available. Please contact [email protected]

Dr. Prieto received her PhD from the Pontificia Universidad Catolica de Chile. From 2008-2011 she was a Research Associate in the Division of Imaging Sciences at Kings College London. In 2012, she joined the Biomedical Engineering Department at Kings College London as Lecturer in Magnetic Resonance Imaging and Reconstruction. She is currently Professor in the same Department. 

A major methodological challenge in Magnetic Resonance Imaging (MRI) is coping with long acquisition times. This usually leads to a trade-off between spatial and temporal resolution and represents a main limitation in 3D MRI acquisitions, especially in applications with imposed time constraints. Undersampling techniques allow speeding up the acquisition of MR images and/or improve image quality to satisfy clinical requirements such as high spatial and temporal resolution, sufficient signal to noise ratio and contrast. Dr. Prieto research has been focused on the development, implementation and application of undersampled MRI technology for cardiovascular imaging. Another major challenge of many 3D MRI applications is data corruption due to cardiac and respiratory motion leading to ghosting or image blurring. To cope with this challenge accurate and robust motion compensation techniques are required. Dr. Prieto work focus on the combination of undersampled reconstruction techniques with motion correction strategies. Her research also focuses in quantitative multiparametric MRI and motion correction for simultaenous PET-MR cardiac imaging.