Segment 3DPrint
Overview
Segment 3DPrint by Medviso AB is a clinical software solution designed to convert DICOM medical imaging into high-quality anatomical models for 3D printing, virtual reality, and treatment planning. It serves as a diagnostic and surgical planning support tool for clinicians across pediatric and adult populations.
The software is primarily utilized by medical specialists in the following fields:
- Orthopedics: For bone segmentation, bone splitting, and joint modeling.
- Maxillofacial Surgery: For mandible, teeth, and orbital reconstructions.
- Cardiovascular Medicine: For modeling complex cardiac structures and congenital heart conditions.
In a clinical or Point-of-Care (PoC) workflow, Segment 3DPrint integrates directly with hospital PACS and local databases. It streamlines the transition from raw CT or MRI scans to printable files through a guided, step-by-step segmentation process. The platform features built-in quality assurance (QA) wizards with customizable steps to support quality management system (QMS) compliance in hospital-based printing labs.
Notable capabilities include:
- AI-Driven Segmentation: Automated tools for isolating bones, vessels, lungs, trachea, and dental structures.
- Advanced Mesh Editing: Tools for generating surface meshes, lattices, honeycombs, and support structures directly within the application.
- Image Fusion: A dedicated module to register and align MR and CT datasets.
- Print Optimization: Features for adding quality control markers, adjusting printer bounding boxes, and detecting cupping.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Fast and reliable AI-based segmentation for bones, vessels, organs (e.g., orbit, mandible, teeth, lungs, trachea, congenital heart)
- Interactive 3D preview and editing of segmented objects
- Tools for splitting objects, adding labels, and support structures
- Fusion tool for registering MR and CT images
- Dedicated module for designing skull defect models for cranioplasty
- Advanced reporting feature with screenshots, printing specifics, and QA checks
- Built-in QA wizard for QMS-compliant reporting
- Surface mesh, lattice, and honeycomb generation
- Import of DICOM, STL, NifTI files
- High-quality output of STL or OBJ files ready for 3D printing
- PACS connectivity for efficient clinical workflow
Use Cases
- Generating high-quality anatomical models for 3D printing
- Creating models for virtual reality applications
- Advanced treatment and surgical planning
- Personalizing patient care and pre-operative planning
- Designing patient-specific implants and devices
- Cranioplasty planning and skull defect model generation
What Physicians Need to Know
Segment 3DPrint is a powerful tool for creating high-quality, patient-specific 3D anatomical models from CT and MR images, which can significantly aid in surgical planning, education, and communication with patients. The AI-powered segmentation can expedite model creation, but always review and adjust segmentations as needed using the provided manual tools to ensure accuracy for critical applications. Leverage the PACS integration for efficient workflow, both for importing studies and saving generated models or reports. Consider utilizing the fusion module for cases requiring combined CT and MR information. Remember that while the software is FDA-cleared, clinical judgment remains paramount in interpreting the models and making treatment decisions.
Segment 3DPrint offers robust DICOM support and direct PACS connectivity for importing and exporting patient data, facilitating integration into existing radiology workflows. It can import STL and NifTI files, and export high-quality STL or OBJ files for 3D printing. The software is designed to be a complete solution from DICOM image to print-ready 3D model, minimizing the need for external conversion tools in the core workflow.
Details
| Category | Radiology & Imaging AI, Surgical AI |
| Pricing | Unknown |
| Deployment | On-premise (software download) |
| Mobile App | No |
| Compliance | |
| BAA Available | Unknown |
| HIPAA Compliant | Unknown |
| FDA Status | Unknown |
| Integrations | |
| EHR | Not specified |
| Specialties | Neurosurgery, Plastic Surgery, Radiology |
What the Web Says
Segment 3DPrint by Medviso is a software designed for the visualization and segmentation of medical images from CT or MR scanners, enabling the creation of 3D anatomical models for diagnostic purposes, surgical planning, and educational use. It allows for the generation of patient-specific, printer-ready models with high accuracy, aiming to improve surgical outcomes, reduce complications, and enhance patient communication. The software is intended for use by medically trained professionals and supports various medical conditions and patient populations, from newborns to adults.
Overall: PositiveStrengths
- Generates accurate patient-specific 3D anatomical models for diagnostic, educational, and surgical planning purposes.
- Aims to improve surgical preparedness, reduce complications, and shorten surgical times.
- Enhances spatial understanding compared to 2D visualization.
- Facilitates better communication between physicians and with patients using patient-specific models.
- Supports a wide range of anatomies and medical conditions, including orthopedic, maxillofacial, and cardiovascular applications.
- Utilizes both manual and semi-automatic segmentation tools, including AI-based algorithms for bone segmentation.
Limitations
- Requires users to participate in an online training session provided by Medviso prior to use.
- Initial setup process can take time and may require running the software as an administrator.
- Manual or semi-automated segmentation can be a tedious and resource-intensive task, potentially leading to user error and variability.
- The software is a tool to provide relevant clinical data, and the clinician is solely responsible for interpretation and decision-making.
- No specific cons were found regarding the software's performance or features from the provided search results.
- No information on pricing or customer support experiences was found.
Based on reviews from: medviso.com, nih.gov, parikhradiology.com, lu.se, 3dheals.com, fda.gov
Last updated: 2026-10-31
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