Interoperable encoding and 3D printing of anatomical structures resulting from manual or automated delineation

The understanding and visualization of the human body have been instrumental in the progress of medical science. Over time, the shift from cumbersome and invasive methods to modern scanners highlights the significance of expertise in retrieving, utilizing, and comprehending the resulting data. 3D rendering and printing of organic structures offer promising applications such as surgical planning and medical education. However, challenges arise as technological advancements generate increasingly vast amounts of data, necessitating seamless manipulation and transfer within the medical field. The goal of this master thesis is to explore interoperability in encoding 3D models and the ability to print those models resulting from 3D reconstruction on medical input data. This exploration will be done for models that were originally segmented by manual delineation or in an automated way. Different parts of this thematic were already explored in a specific way like for the surface reconstruction or the automatic segmentation. The idea here will be to combine the different aspects of this thesis in a single tool available and usable by everyone.