Patient-specific implants and anatomical models reconstructed from medical scans help in clinical diagnosis, treatment planning, surgical training, and computational modeling. Both physical 3D prints and virtual CAD models are central to these applications.

My research work involves generating three-dimensional geometric models from medical images. Implementation of different segmentation techniques on scans derived from micro-CT machines is studied.

Light-based scanning allows non-invasive 3D capture of surface features for prosthetic design, digital archiving, and reverse engineering. CAD models obtained from structured light scans offer significant insight in personalized product development and AI-based analysis.

The image above shows the stages of structured light pattern-based reconstruction pipeline applied to a human face model. The video demonstrates the use of Artec Eva scanner, currently hosted at BioM3D lab, in scanning and creating a geometric model of a human bust.

Mesh smoothing is one of the post-processing operations all the tessellations are subjected to. It is very relevant in removing the staircase patterns and the jaggedness produced due to imaging and hardware limitations. It helps produce smooth and continuous geometries, but smoothing comes with a caveat. It may inadvertently erode the relevant intricate features! The short video demonstrates effect of Laplacian smoothing with a sufficient scaling factor, on the geometry of a coronary artery.

Using STL models derived from imaging, prototypes can be printed using SLA/FDM processes. 3D prints enable physical validation, educational demonstrations, and pre-surgical rehearsals. The image here shows Formlabs Form 3+ SLA 3D printing facility, along with washing and curing units. The video shows the printing of a flexible tube, printing using a material with shore hardness of 80.