Exact and analytic Bayesian inference for orientation distribution functions.

التفاصيل البيبلوغرافية
العنوان: Exact and analytic Bayesian inference for orientation distribution functions.
المؤلفون: Sotiropoulos, SN, Jones, D, Bai, L, Kypraios, T
بيانات النشر: IEEE
سنة النشر: 2016
المجموعة: Oxford University Research Archive (ORA)
الوصف: Characterizing the fibre orientation uncertainty is essential for quantitative tractography approaches, such as probabilistic tracking. We present an analytic way to perform Bayesian inference on diffusion ODFs from Q-ball imaging data. Drawing a random sample of ODFs reduces to sampling a multivariate t distribution. Assuming that the local ODF maxima provide fibre orientations, a random sample of orientations can then be directly obtained from the ODF sample. Contrary to approximate inference approaches, such as MCMC, our method samples from the exact posterior distribution. Results are illustrated on simulated and human in-vivo data. ©2010 IEEE.
نوع الوثيقة: conference object
اللغة: unknown
العلاقة: https://ora.ox.ac.uk/objects/uuid:aab1dc5d-d55e-483a-b165-274a36536c6dTest; https://doi.org/10.1109/ISBI.2010.5490207Test
DOI: 10.1109/ISBI.2010.5490207
الإتاحة: https://doi.org/10.1109/ISBI.2010.5490207Test
https://ora.ox.ac.uk/objects/uuid:aab1dc5d-d55e-483a-b165-274a36536c6dTest
حقوق: info:eu-repo/semantics/embargoedAccess
رقم الانضمام: edsbas.3A7E53EB
قاعدة البيانات: BASE