Today's 3D scanning technology opens up a new avenue to producing high-quality digital food models, with full-color high-resolution 3D printers able to bring them into physical reality. The first step in developing a 3D printed part is to acquire high-quality image data of the object. The quality of the image data directly affects the efficiency of the workflow process and the realism of the final product. Therefore, choosing the correct 3D scanner is critical.
Medical image segmentation is the initial workflow process that includes isolating DICOM medical images, such as CT scans or MRI scans, into distinct structures or regions of interest (ROI). The goal for segmenting this type of data is to identify and explore areas of the anatomy, whether it’s tissue, cardiovascular, or bone. For example, virtually positioning CAD implants or creating water-tight mesh files for 3D printing patient-specific anatomical models.