How to Convert an X-Ray or MRI Scan into a 3D Model

Why Convert Medical Scans to 3D Models?

3D models derived from medical imaging are valuable for visualization, education, surgical planning, and 3D printing. They allow clinicians and researchers to interact with anatomical structures in new ways.

While consumer image-to-3D tools exist, medical scan conversion typically requires specialized software that can handle DICOM data and perform segmentation.

• Visualize complex anatomy in three dimensions
• Create physical models for training or patient communication
• Share models for collaborative research or virtual reality

Understanding DICOM: The Standard for Medical Imaging

DICOM (Digital Imaging and Communications in Medicine) is the international standard for transmitting, storing, retrieving, printing, processing, and displaying medical imaging information. It ensures interoperability between different imaging devices and software.

The DICOM standard is free to download and use, making it accessible for developers and researchers.

3D Slicer: A Free Platform for Medical Image Processing

3D Slicer is a free, open-source software platform for visualization, processing, segmentation, registration, and analysis of medical, biomedical, and other 3D images and meshes. It supports DICOM import and export, including DICOMweb and classic DIMSE networking, and handles 2D, 3D, and 4D images as well as segmentation objects.

The Segment Editor module in 3D Slicer can be used to create surgical plans, high-quality atlases, and training data sets for deep learning. This makes it a powerful tool for converting scans into 3D models.

Step-by-Step: From Scan to 3D Model

The general workflow involves importing DICOM data into segmentation software, isolating the anatomical structures of interest, and exporting a surface mesh. While specific steps vary by software and anatomy, the core process remains consistent.

Segmentation quality depends on scan resolution, contrast, and the structure being modeled. Manual correction is often necessary to refine the results.

• Import DICOM data into 3D Slicer or similar software
• Use segmentation tools to isolate the desired anatomy
• Export the segmented model as a surface mesh (e.g., STL or OBJ)

NIH 3D: A Resource for Sharing and Discovering Models

NIH 3D is an open, community-driven portal to download, share, and create bioscientific and medical 3D models for 3D printing and interactive 3D visualization, including virtual and augmented reality. It offers a searchable collection of over 12,000 digital 3D assets.

Users can submit their own models or generate new ones from molecular or medical imaging data, making it a valuable hub for both beginners and experts.

Limitations and Considerations

A single 2D X-ray image contains limited depth information, so producing a true volumetric 3D model generally requires multi-slice data such as CT or MRI rather than one flat image. Consumer image-to-3D tools are not designed for medical scan input.

Patient scan data raises privacy and consent considerations that must be addressed. Additionally, the research notes do not establish specific step-by-step workflows, export formats for printing, or accuracy benchmarks.