The Magnetised Iron Neutrino Detector (MIND) has been identied as the ideal candidate for the de-tection of the golden \wrong sign muon " channel at a Neutrino Factory. However, previous analyses of the channel relied on a parameterisation of the detector performance which assumed pefect muon pattern recog-nition. For the rst time, a study of the muon reconstruction eciency involvoing full pattern recognition has been carried out. Using a simple pattern recognition algorithm it is shown that past results assuming perfect muon identication can already be reproduced after one simple cut
