Here $\Gamma$ is a $d\times d$ matrix, and $x,\mu$ are vectors of length $d$. When using matrix algebra it is common convention to express vectors as column vectors. Therefore, we will think of $x$ and $\mu$ as matrices of size $d\times 1$.
Therefore, the product $\Gamma^{-1}(\mu_1-\mu_0)$ is a matrix product of size $(d\times d)(d\times 1)$, i.e. it is a matrix of size $d\times 1$. In your expression you have $x^t\Gamma^{-1}(\mu_1-\mu_0)$, therefore the matrix product is $(1\times d)(d\times d)(d\times 1)$, this is because you wrote $x^t$, so your replace $x$, which is assumed to be in column form, into row form and so the dimension numbers get flipped.
Now, $x^t\Gamma^{-1}(\mu_1-\mu_0)$ is a scalar, because it is a $(1\times 1)$ matrix, i.e. a number. So, in particular, it is equal to its own transpose (the transpose of a $(1\times 1)$ matrix is itself):
$$ \left( x^t \Gamma^{-1}(\mu_1 - \mu_0) \right)^t = x^t \Gamma^{-1}(\mu_1 - \mu_0) $$
But, at the same time, let us see what happens if we use the ``transpose properties'':
- Transpose of a product is the reverse-product of the transposes
- Transpose of an inverse is the inverse of the transpose
- Transpose of the transpose is the original matrix
Therefore, by using these three,
$$ \left( x^t \Gamma^{-1}(\mu_1 - \mu_0) \right)^t = (\mu_1 - \mu_0)^t (\Gamma^{-1})^t (x^t)^t = (\mu_1 - \mu_0)^t (\Gamma^t)^{-1} x$$
It appears that the missing information is that $\Gamma$ is symmetric, i.e. $\Gamma^t = \Gamma$. If we accept the symmetric assumption then we have derived that,
$$ x^t \Gamma^{-1}(\mu_1 - \mu_0) = (\mu_1 - \mu_0)^t \Gamma^{-1} x$$
From here you can substitute this in and get the $\theta$ you are looking for.