TY - JOUR
T1 - RubiX
T2 - Combining spatial resolutions for bayesian inference of crossing fibers in diffusion MRI
AU - Sotiropoulos, Stamatios N.
AU - Jbabdi, Saad
AU - Andersson, Jesper L.
AU - Woolrich, Mark W.
AU - Ugurbil, Kamil
AU - Behrens, Timothy E.J.
PY - 2013
Y1 - 2013
N2 - The trade-off between signal-to-noise ratio (SNR) and spatial specificity governs the choice of spatial resolution in magnetic resonance imaging (MRI); diffusion-weighted (DW) MRI is no exception. Images of lower resolution have higher signal to noise ratio, but also more partial volume artifacts. We present a data-fusion approach for tackling this trade-off by combining DW MRI data acquired both at high and low spatial resolution. We combine all data into a single Bayesian model to estimate the underlying fiber patterns and diffusion parameters. The proposed model, therefore, combines the benefits of each acquisition. We show that fiber crossings at the highest spatial resolution can be inferred more robustly and accurately using such a model compared to a simpler model that operates only on high-resolution data, when both approaches are matched for acquisition time.
AB - The trade-off between signal-to-noise ratio (SNR) and spatial specificity governs the choice of spatial resolution in magnetic resonance imaging (MRI); diffusion-weighted (DW) MRI is no exception. Images of lower resolution have higher signal to noise ratio, but also more partial volume artifacts. We present a data-fusion approach for tackling this trade-off by combining DW MRI data acquired both at high and low spatial resolution. We combine all data into a single Bayesian model to estimate the underlying fiber patterns and diffusion parameters. The proposed model, therefore, combines the benefits of each acquisition. We show that fiber crossings at the highest spatial resolution can be inferred more robustly and accurately using such a model compared to a simpler model that operates only on high-resolution data, when both approaches are matched for acquisition time.
KW - Brain
KW - diffusion-weighted imaging
KW - inverse methods
KW - magnetic resonance imaging (MRI)
KW - tractography
UR - http://www.scopus.com/inward/record.url?scp=84878556570&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84878556570&partnerID=8YFLogxK
U2 - 10.1109/TMI.2012.2231873
DO - 10.1109/TMI.2012.2231873
M3 - Article
C2 - 23362247
AN - SCOPUS:84878556570
SN - 0278-0062
VL - 32
SP - 969
EP - 982
JO - IEEE Transactions on Medical Imaging
JF - IEEE Transactions on Medical Imaging
IS - 6
M1 - 6420959
ER -