Using the segmentation function in 3D Slicer, I am able to identify, segment, smooth, and process a tumorous volume.

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.

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.

The model was output from 3D Slicer after cleanup and 3mm gated voxel smoothing to remove anomalies. 

This tumour had a volume of approximately 16.6 cm³. Using a Prusa MK4S FDM 3D Printer, I was able to print a scale-accurate model of the isolated tumour in under 20 minutes.

It printed with PLA, 0.2mm layer height using a high-speed profile. The part is smooth to the touch and used just 6g of material.

Using a similar process in 3DSlicer, I then segmented and extracted the whole brain model, complete with a void for the tumour. 

From here, I printed the brain in two parts, bisected by the midplane of the tumour, and integrated magnets beneath the mating surfaces. I also added a facility for traceability by debossing into the model to maintain privacy and accountability. 

The final model is an interactive piece, allowing patient and physician to look inside the brain without the need for complex visuals or equipment. All correct and to scale within ~1mm. I donated the finished models to PrintCity and the Christie Hospital, to be used for training purposes.