# Posterior expression for Gibbs sampling

I am trying to estimate parameters of a two dimensional Normal distribution using Gibbs sampling. While it was very easy transform the posterior equation for mean vector to a single dimension normal function for sampling, I am not able to same for sigma(covariance).

Do I need to use the Wishart distribution as prior and then convert the posterior into a single dimensional gamma function ?

-