Thermography is an non-invasive and a painless tool for the detection of breast cancer. However, performing and interpreting thermograms requires meticulous training. It was found that women with an abnormal thermogram are at a higher risk and have a poorer prognosis. One of the main drawbacks of the thermogram is the high incidence of false-positive results. The authors believe that the fault lies in misinterpretation of the thermogram, rather than the thermogram itself. The paper aims to show that computer simulations could be an adjunct tool to help the clinician in the interpretation. This would greatly reduce the false-positive diagnosis.