Photo-diagnosis of knee diseases can provide noninvasive, contrasted, deep penetrating and higher resolution optical and temperature images. In this study, knee joint was modeled and simulated using finite element method, optical images and temperature images were generated for injured, osteoarthritis (OA) and normal knee conditions. Monte Carlo and diffusion approximation equation were used for absorption mapping and bioheat transfer equation to generate temperature information. Furthermore, the results found by Monte Carlo and diffusion approximation equation for the same parameters were compared. The results obtained in both Monte Carlo and diffusion approximation revealed that temperature mapping is capable for differentiating injuries of knee, OA and normal knee joints compared with optical absorption images. In the study, the average net temperature rise scored was 0.12 Kelvin for normal and 0.13 Kelvin for OA joints at 3μs, which is significant and become more significant at its logarithmic value to produce temperature images and small to produce thermal damage on the tissue. To conclude, photo diagnosis knee joint model mimics for detecting injuries and analyzing diseases of knee and other similar boney-ligament/cartilage complex body structures in diagnostic imaging and monitoring procedures by using the combination of thermal and optical absorption properties of joints. This work has valuable impact for optical diagnostic imaging.Citation: Muluneh MB, ElGohary SH. Thermal effect for optical imaging of knee osteoarthritis.Citation: Muluneh MB, ElGohary SH. Thermal effect for optical imaging of knee osteoarthritis.Citation: Muluneh MB, ElGohary SH. Thermal effect for optical imaging of knee osteoarthritis.