A much anticipated outcome of the rapidly emerging field of personalized medicine is a significant increase in the standard of care afforded to patients. However, before the full potential of personalized medicine can be realized, key enabling technologies must be further developed. The purpose of this study was to use enabling technologies such as medical imaging, image reconstruction, and rapid prototyping to create a model of an implant for use in vocal fold repair surgery. Vocal fold repair surgery is performed for patients with great difficulty in phonation, breathing, and swallowing as a result of vocal fold damage caused by age, disease, cancer, scarring, or paralysis. This damage greatly hinders patients' social, personal, and professional lives due to difficulty in efficient communication. In this project, the image reconstruction of a subject's vocal fold in 3D is demonstrated utilizing NIH-funded advanced image processing software known as ITK-SNAP, which uniquely allows both semi-automatic and manual image segmentation. The hyoid bone, thyroid cartilage, arytenoid cartilage, and empty airway of the larynx were isolated using active contouring for use as anatomical benchmarks. Then, the vocal fold mold, including the vocal fold, a superior extension along the thyroid cartilage, and an inferior extension along the airway, was modeled with manual segmentation. The configured, isolated, and edited vocal fold model was converted into an STL file. This STL file can be imported to a 3D printer to fabricate a mold for reconstruction of a patient specific vocal fold biocompatible implant. This feasibility study serves as a basis to allow ENT surgeons at the Mayo Clinic to dramatically improve reparative surgery outcomes for patients. This work embodies the strategic importance of multidisciplinary teams working at the interface of technology and medicine to optimize patient outcomes.