Numerous medical situations arises where the need for an accurate measurement of the volume of the orbital region in the human is required for further analysis/diagnosis. Various methods have been employed for this purpose. Computerised methods have had various limitations and effort is ongoing to further improve the results. Conventional approach would be to outline the shape on the two dimensional (2D) computed tomography (CT) and then to compute the volume slice by slice. This 2D approach allows for errors which can be improved using three dimensional (3D) geometrical theorems. As such, we propose a novel method using 3D geometrical techniques on a 3D virtual biomodel reconstructed from computed tomography (CT) scans of a patient which we term as Eye Orbital 3D Geometry Growth Algorithm (EOGGA). The method is described here together with preliminary results. The 2D method is also described and the comparison of the results agrees to each other. Effort is currently under way to elucidate the proposed method and to evaluate its utility in clinical treatment and surgical planning software.