This research aims to develop methods for automated extraction of geometry and density from magnetic resonance images (MRIs) for building 3D mesh objects containing density data. This paper proposes a novel method for extracting 3D models from MRI and also proposes a new voxel based approach to identify the density of internal tissues based on the intensity of MRI.

Recently, the need for patient-specific 3D models is increasing for clinical and biomechanical studies and due to increase in 3D printing. However, there have been various methods proposed for processing MRI or computed tomography (CT) scan data to extract volumetric data, voxel based or surface mesh models for 3D manipulation, printing, or for graphics. Each reconstruction method has its own accuracy. One approach to reconstruct the pelvis from radiography data has demonstrated 95% accuracy [1]. However, until now, there have been few studies into...

References

References
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