In this article, we propose a new definition of the E2DT (Squared Euclidean Distance Transformation) on irregular isothetic grids. We describe a new separable algorithm to compute this transformation on every grids, which is independent of the background representation. We show that our proposal is able to efficiently handle various kind of classical irregular two-dimensional grids in imagery, and that it can be easily extended to higher dimensions.