In Magnetic Resonance Imaging (MRI) a given tissue may have quite different intensities depending on its location in the image volume. Such intensity inhomogeneities often arise from what is usually called the bias field, and are due to radio frequency inhomogeneities, variations in the static magnetic field and the distance of the tissue to the receiving coil. We present an efficient approach to determine such inhomogeneities from a series of calibration scans, which take less than 40 seconds to acquire. This enables us to efficiently correct both T1 and T2 weighted images. We present the theoretical background, as well as typical results for phantom, liver, pelvic and spine images. ©2008 IEEE
A novel non-parametric approach for correcting intensity non-uniformity in magnetic resonance (MR) d...
We are involved in a comprehensive program to characterize atherosclerotic disease using multiple MR...
We present a compressed sensing based approach to re-move gain field from magnetic resonance (MR) im...
Magnetic Resonance Imaging, MRI, is one of the most powerful and harmless ways to study human inner ...
Magnetic resonance imaging (MRI) is a widely used non-invasive visualization technique in medical fi...
Projecte realitzat en col.laboració amb el centre Swiss Federal Institute of Technology (EPFL)Magnet...
This paper presents a method by which two fast spoiled gradient echo image volumes can be used to es...
Proceeding of: IEEE 2003 International Conference on Image Processing (ICIP), Barcelona, Spain, 14-1...
Proceeding of: IEEE 2003 International Conference on Image Processing (ICIP), Barcelona, Spain, 14-1...
Proceeding of: IEEE 2003 International Conference on Image Processing (ICIP), Barcelona, Spain, 14-1...
Proceeding of: IEEE 2003 International Conference on Image Processing (ICIP), Barcelona, Spain, 14-1...
Proceeding of: IEEE 2003 International Conference on Image Processing (ICIP), Barcelona, Spain, 14-1...
This work presents a new algorithm (nonuniform intensity correction; NIC) for correction of intensit...
This paper presents a patch-based non-parametric approach to the correction of intensity inhomogenei...
This work presents a new algorithm (nonuniform intensity correction; NIC) for correction of intensit...
A novel non-parametric approach for correcting intensity non-uniformity in magnetic resonance (MR) d...
We are involved in a comprehensive program to characterize atherosclerotic disease using multiple MR...
We present a compressed sensing based approach to re-move gain field from magnetic resonance (MR) im...
Magnetic Resonance Imaging, MRI, is one of the most powerful and harmless ways to study human inner ...
Magnetic resonance imaging (MRI) is a widely used non-invasive visualization technique in medical fi...
Projecte realitzat en col.laboració amb el centre Swiss Federal Institute of Technology (EPFL)Magnet...
This paper presents a method by which two fast spoiled gradient echo image volumes can be used to es...
Proceeding of: IEEE 2003 International Conference on Image Processing (ICIP), Barcelona, Spain, 14-1...
Proceeding of: IEEE 2003 International Conference on Image Processing (ICIP), Barcelona, Spain, 14-1...
Proceeding of: IEEE 2003 International Conference on Image Processing (ICIP), Barcelona, Spain, 14-1...
Proceeding of: IEEE 2003 International Conference on Image Processing (ICIP), Barcelona, Spain, 14-1...
Proceeding of: IEEE 2003 International Conference on Image Processing (ICIP), Barcelona, Spain, 14-1...
This work presents a new algorithm (nonuniform intensity correction; NIC) for correction of intensit...
This paper presents a patch-based non-parametric approach to the correction of intensity inhomogenei...
This work presents a new algorithm (nonuniform intensity correction; NIC) for correction of intensit...
A novel non-parametric approach for correcting intensity non-uniformity in magnetic resonance (MR) d...
We are involved in a comprehensive program to characterize atherosclerotic disease using multiple MR...
We present a compressed sensing based approach to re-move gain field from magnetic resonance (MR) im...