Using my own MRI scan data, I developed a workflow to convert medical imaging datasets into detailed three-dimensional anatomical models. DICOM image stacks were imported into 3D Slicer, where I performed volume rendering, segmentation, and model generation to isolate anatomical structures such as the brain and external craniofacial features. This project required image processing, thresholding, segmentation refinement, and mesh generation techniques to transform raw medical imaging data into accurate 3D representations. The resulting models demonstrate the application of engineering visualization tools in medical imaging and provide a foundation for further analysis, simulation, and additive manufacturing applications.
For a group project two group members and I created a urinary catheter device that can simplify and speed up the process saving time for nurses and easing the patient experience. The model was 3D printed with DLP technology (Digital Light Processing) and printed at Stratasys on the Origin One. The material used with MED413 by Henkel which is a medical grade certified resin. This device would save RN’s in the United State 490,667 hours and allows for 2.208 million more patients a year.