Characterization and propagation of uncertainty in diffusion‐weighted MR imaging
Tóm tắt
A fully probabilistic framework is presented for estimating local probability density functions on parameters of interest in a model of diffusion. This technique is applied to the estimation of parameters in the diffusion tensor model, and also to a simple partial volume model of diffusion. In both cases the parameters of interest include parameters defining local fiber direction. A technique is then presented for using these density functions to estimate global connectivity (i.e., the probability of the existence of a connection through the data field, between any two distant points), allowing for the quantification of belief in tractography results. This technique is then applied to the estimation of the cortical connectivity of the human thalamus. The resulting connectivity distributions correspond well with predictions from invasive tracer methods in nonhuman primate. Magn Reson Med 50:1077–1088, 2003. © 2003 Wiley‐Liss, Inc.
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Tài liệu tham khảo
TuchDS WieggellMR ReeseTG BelliveauJW WedeenVJ.Measuring corico‐cortical connectivity with diffusio spectrum imaging. In: Proc 9thAnnual Meeting of the ISMRM Glasgow 2001.p502.
Gamerman D, 1997, Markov chain Monte Carlo
Wheeler‐KingshottCAM BoulbyPA SymmsM BarkerGJ.Optimised cardiac gating for high‐resolution whole brain DTI on a standard scanner. In: Proc 10thAnnual Meeting of the ISMRM Honolulu 2002.p1118.
Yarita H, 1980, A transthalamic olfactory pathway to orbitofrontal cortex in the monkey, J Neurophysiol, 43, 69, 10.1152/jn.1980.43.1.69
BrunA BjornemoM KikinisR WestinC‐F.White matter tractography using sequential importance sampling. In: Proc 10thAnnual Meeting of the ISMRM Honolulu 2002.p1131.
LazarM AlexanderAL.White matter tractography error analysis in a brain diffusion tensor field. In: Proc 10thAnnual Meeting of the ISMRM Honolulu 2002.p1125.
ParkerGJM BarkerG ThackerN JacksonA.A framework for a streamline‐based probabilistic index of connectivity (pico) using a structural interpretation of anisotropic diffusion. In: Proc 10thAnnual Meeting of the ISMRM Honolulu 2002.p1165.