University of California at Los Angeles (UCLA) Center for Advanced Surgical and Interventional Technology (CASIT) researchers are developing an interactive image visualization pipeline with the ability to rapidly visualize and efficiently interact with patient-specific image datasets. The pipeline enables patient-specific image datasets acquired in a Digital Imaging and Communications in Medicine (DICOM) format to be converted into a three-dimensional (3D) deformable format that facilitates future simulation-based interactivity. UCLA CASIT researchers have developed a standalone FMA database browser which provides manual assignment of Foundation Model of Anatomy (FMA) identification codes (IDCs) to surfaces generated from patient-specific DICOM format data and to the reference 3D model. The FMA database browser is a key component of this innovative image visualization pipeline.