The segment editor view in 3D Slicer, here I have broadly defined the tumour, and separated it from the surrounding tissue volumes. A raw 3D preview is shown in the top-right corner.
Using the segmentation function in 3D Slicer, I am able to identify, segment, smooth, and process a tumorous volume in less than fifteen minutes.
This tumour had a volume of approximately 16.6 cm³. Using my Prusa MK4S FDM 3D Printer, I was able to print a scale-accurate model of the isolated tumour in under twenty minutes.
Whilst a basic example of 3D Slicer’s full capabilities, I believe it shows how powerful it can be. A brain tumour diagnosis can be extremely frightening for a patient; the production of a model in this way could serve as a crucial bridge for their understanding, potentially leading to greater understanding and acceptance of their condition. Additionally, it could also prove useful to clinicians in evaluating and monitoring treatment methods—for example, a therapy intended to shrink the tumour could be monitored by producing a series of models, improving understanding of treatment efficacy.
Output from 3D Slicer after cleanup and 3mm voxel smoothing.
Physical model, printed with PLA, 0.2mm layer height using a high-speed profile. The part is smooth to the touch and used 6 grams of material.