The Petz transpose map (also called Petz recovery map) is defined for a Channel $\Phi : \mathrm{L}(\mathcal X) \to \mathrm{L}(\mathcal Y) $ and an input reference state $\rho \in \mathrm{D}(\mathcal X )$ as $$ \mathcal R_{\Phi, \rho} (Y) := \rho ^{\frac12} \left[\Phi^* (\Phi(\rho)^{-\frac12} Y \Phi(\rho)^{-\frac12} ) \right] \rho ^{\frac12}, $$ for any $Y \in \mathrm{L}(\mathcal Y)$. Here $\Phi^* : \mathrm{L}(\mathcal Y) \to \mathrm{L}(\mathcal X) $ is the adjoint map of $\Phi$.
I was wondering why the map is called the 'Transpose' map, as a direct inspection does not reveal any tranpose operations involved.