Meeting Banner
Abstract #0273

3D Weighted Least Squares algorithm for Partial Volume Effect correction in ASL images

Pablo Garca-Polo 1,2 , Adrian Martn 3,4 , Virginia Mato 5 , Alicia Quirs 6 , Fernando Zelaya 7 , and Juan Antonio Hernandez-Tamames 5

1 A. A. Martinos Center for Biomedical Imaging, Mass. General Hospital, M+Visin Advanced Fellowship, Charlestown, Massachusetts, United States, 2 Centre for Biomedical Technology - Universidad Politcnica de Madrid, Pozuelo de Alarcn, Madrid, Spain, 3 Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States, 4 3Applied Mathematics, Universidad Rey Juan Carlos, Mstoles, Madrid, Spain, 5 Department of Electrical Technology, Universidad Rey Juan Carlos, Mstoles, Madrid, Spain, 6 Cardiology, Hospital Clnico San Carlos, Madrid, Spain, 7 Department of Neuroimaging, King's College London, London, United Kingdom

Arterial Spin Labeling (ASL) is increasingly used in clinical studies of cerebral perfusion and has shown its validity in measuring perfusion changes in several neurodegenerative diseases. The main disadvantage of this technique is the limited spatial resolution needed to have a good SNR and the Partial volume effect (PVE) consequence of the large voxels employed. To correct this PVE effect and extract clean perfusion maps of only one single tissue (GM, WM or CSF), we propose an improvement of Asllanis 2D linear regression method, with a 3D weighted least squares algorithm, including weighting matrices for distance and CBF measurement reliability.

This abstract and the presentation materials are available to members only; a login is required.

Join Here