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Related Experiment Video

Updated: Jul 12, 2025

Voxel Printing Anatomy: Design and Fabrication of Realistic, Presurgical Planning Models through Bitmap Printing
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The Inner Complexities of Multimodal Medical Data: Bitmap-Based 3D Printing for Surgical Planning Using Dynamic

Nicholas M Jacobson1, Jane Brusilovsky1, Robert Ducey2

  • 1School of Engineering, Design, and Computation-Inworks Innovation Initiative, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.

3D Printing and Additive Manufacturing
|October 27, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel high-resolution 3D printing method for creating patient-specific surgical planning models. It integrates diverse medical imaging data, enhancing presurgical visualization and decision-making.

Keywords:
3D printingbiomedical imagingbitmap printingphysiology

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Area of Science:

  • Medical Imaging and Visualization
  • Biomedical Engineering
  • 3D Printing Technologies

Background:

  • Current patient-specific presurgical planning models lack sufficient data richness and informativeness.
  • Integrating multimodal medical data (e.g., fMRI, tractography, 4D flow) into physical models is challenging.
  • Existing methods may lead to information loss during data processing for 3D model creation.

Purpose of the Study:

  • To present a high-resolution method for tangible replication of multimodal medical data.
  • To enable digital integration of disparate medical imaging types into 3D printed models.
  • To improve patient-specific presurgical planning, communication, and clinical decision-making.

Main Methods:

  • Utilized voxel-level control of multimaterial 3D printing.
  • Digitally integrated functional magnetic resonance imaging, tractography, and four-dimensional flow data with traditional MRI and CT data.
  • Bypassed mesh-based boundary representations to prevent information loss.

Main Results:

  • Successfully generated high-resolution, tangible 3D models from multimodal medical data.
  • Demonstrated the preservation of information by avoiding mesh-based processing.
  • Evaluated optical characteristics of the 3D printed test specimens.

Conclusions:

  • The developed method enables direct, data-driven 3D printing of complex medical information.
  • This approach offers a significant advancement for presurgical planning and patient communication.
  • Potential for enhanced clinical decision-making through realistic, informative 3D anatomical models.