The rupture of intracranial aneurysms often has devastating consequences, and it is important to be able to identify those aneurysms that are at risk. One potential marker for imminent rupture might be strain in the aneurysm wall. The wall cannot be imaged directly, but its position can be inferred from the boundary of the fluid domain. We hypothesise that the strain in the wall of the aneurysm might be recoverable from systolic and diastolic images by a process of registration. In this paper we demonstrate that an in-house registration algorithm can accurately compute strains from simple binary images constructed from the finite element solution of strains in an aneurysm. The gold standard is the strain field generated from the finite element analysis.