Current characterization of RF-heating in orthopedic implants is based on electromagnetic simulations models and phantom experiments. However, these approaches may not accurately characterize the implant heating within a specific patient’s anatomy. A personalized medicine approach, whereby the patient-specific implant/body model is generated as the patient is in the scanner, may provide more accurate safety limits. In this study, we developed a low-SAR, fast methodology to scan and segment the implant and surrounding tissue, and calculate the 1g local SAR. Our combination of MSVAT-SPACE, reverse polarization PETRA, and a fast electromagnetic solver yields local SAR estimates in under 6 minutes.