del Carmen Valdés-Hernández, Maria; González-Castro, Victor; Ghandour, Dina T; Wang, Xin; Doubal, Fergus; Muñoz-Maniega, Susana; Armitage, Paul A; Wardlaw, Joanna M
@article{valdes-hernandez_computational_2016,
title = {On the computational assessment of white matter hyperintensity progression: difficulties in method selection and bias field correction performance on images with significant white matter pathology},
author = {Maria del Carmen Valdés-Hernández and Victor González-Castro and Dina T Ghandour and Xin Wang and Fergus Doubal and Susana Muñoz-Maniega and Paul A Armitage and Joanna M Wardlaw},
url = {https://link.springer.com/article/10.1007/s00234-016-1648-3},
year = {2016},
date = {2016-01-01},
journal = {Neuroradiology},
volume = {58},
pages = {475–485},
abstract = {Subtle inhomogeneities in the scanner’s magnetic fields (B0 and B1) alter the intensity levels of the structural magnetic resonance imaging (MRI) affecting the volumetric assessment of WMH changes. Here, we investigate the influence that (1) correcting the images for the B1 inhomogeneities (i.e. bias field correction (BFC)) and (2) selection of the WMH change assessment method can have on longitudinal analyses of WMH progression and discuss possible solutions.},
note = {Publisher: Springer Berlin Heidelberg},
keywords = {cerebrovascular disorders, leukoencephalopathies, MRI, neuroimaging, white matter hyperintensities},
pubstate = {published},
tppubtype = {article}
}
Subtle inhomogeneities in the scanner’s magnetic fields (B0 and B1) alter the intensity levels of the structural magnetic resonance imaging (MRI) affecting the volumetric assessment of WMH changes. Here, we investigate the influence that (1) correcting the images for the B1 inhomogeneities (i.e. bias field correction (BFC)) and (2) selection of the WMH change assessment method can have on longitudinal analyses of WMH progression and discuss possible solutions.