Segment 3DPrint

by Medviso  · Based in Sweden → — We empower healthcare and researchers to make a difference. Our mission is to take the latest research into clinical routine.
Neurosurgery Plastic Surgery Radiology

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

PACS Integration Method
Segment 3DPrint offers PACS connectivity for an efficient clinical workflow. Users can import images from PACS by selecting 'Import from PACS' in the File menu, searching for patient or study details, and then loading the selected study and series. The software also allows saving images, including delineations, to PACS. Medviso provides tutorial videos on setting up DICOM servers and PACS connections.
Reading Room Workflow Impact
Segment 3DPrint aims to streamline the creation of 3D models for surgical planning and personalized patient care. Its intuitive user interface and AI-powered segmentation tools are designed to quickly deliver high-quality 3D models, saving time. The software supports point-of-care 3D printing with dedicated tools and functionalities. It also includes advanced reporting features to generate detailed reports for 3D models.
AI Model Architecture (deep learning approach)
Segment 3DPrint utilizes fast and reliable AI-based tools for automatic generation of models. The software incorporates AI-powered algorithms for segmentation, including bones, orbita, mandible, congenital heart, and trachea (some for research use only). The software's AI-based segmentation algorithms contribute to faster processing times.
FDA Clearance Pathway (510k/De Novo)
Segment 3DPrint has received FDA 510(k) clearance, with the number K211966.
Supported Modalities (CT/MRI/X-ray/US)
Segment 3DPrint supports images from CT and MR scanners. It can also fuse MR and CT images.
Sensitivity & Specificity Data
The software aims to provide an automatic, reproducible, AI-based bone segmentation algorithm where the 95th percentile of every surface distance from the automatic segmentation falls within 1 mm of the ground truth manual delineation by an expert reader. It also provides manual tools for adjustment and generates and exports patient-specific anatomical 3D models with an accuracy of at least 1 mm. Validation of Segment 3DPrint using a Form 3B printer showed a print accuracy of <1 mm in the final printed model.
RSNA/ACR Validation
While direct RSNA/ACR validation is not explicitly mentioned, Medviso emphasizes close collaboration with top researchers and continuous updates to their analysis methods. The company also provides a list of publications that use their Segment software solutions.
Physician Tip

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
DeploymentOn-premise (software download)
Mobile AppNo
Compliance
BAA AvailableUnknown
HIPAA CompliantUnknown
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: Positive

Strengths

  • 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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Press & Coverage

medviso.com
Segment 3DPrint 4.0 is now live!
Medviso announced the release of Segment 3DPrint 4.0, which includes new AI-powered algorithms, a new Fusion module for MR and CT, and a NIfTI reader module. This version is a software solution for point-of-care 3D printing.
2024-03
physicianaitools.com
Medviso Receives FDA 510(k) Approval and CE Marking for Cardiovascular Analysis Software
Medviso's Segment 3DPrint software package (K211966) has received FDA 510(k) clearance, which helps in creating 3D models from medical images. The company's clinical software solutions, including Segment CMR and Segment 3DPrint, are also CE-marked under the Medical Device Regulation (EU) 2017/745 (MDR).
2022-05
medviso.com
Segment 3DPrint has a fresh new look!
Medviso announced that Segment 3DPrint has a fresh new look, offering a new interface and powerful functions to simplify 3D model preparation. This update was released on December 9, 2025.
2025-12
nih.gov
Artificial intelligence for medical image segmentation for 3D printing and advanced visualization
This study focuses on the segmentation of anatomical structures for 3D printing, virtual surgery planning, and advanced visualization, incorporating the clinically available software Segment 3DPrint (Medviso AB, Lund, Sweden). The framework was implemented in Matlab R2022a and uses a lightweight and efficient 2D U-Net to perform a 3D classification task.
2025-03
nih.gov
Current State of 3D Printing in Hospitals: A Literature Review on FDA-Cleared Software and 3D Printers for Anatomical Models
This review examines the current state of 3D printing in hospitals and the FDA regulation process for software used in producing 3D printed models, listing Medviso's Segment 3DPrint as one of the approved software platforms. Segment 3DPrint is validated with Formlabs FORM 3B+ and Formlabs Fuse 1 3D printers.
2023-04
mdpi.com
Evaluation of segmentation software for 3D printing in orthopedic surgery
This study compares various segmentation software tools for 3D printing in orthopedic surgery, mentioning Medviso as a segmentation software tool that could be compared. The research emphasizes the importance of geometrical and dimensional accuracy, as well as software usability in a clinical environment.
2022-07
fda.gov
FDA 510(k) K211966
The FDA 510(k) clearance for Segment 3DPrint (K211966) indicates its intended use for generating 3D models for diagnostic purposes in pediatric and adult populations across orthopedic, maxillofacial, and cardiovascular applications. The software is designed to produce models for visualization, measurement, and treatment planning, with an accuracy of less than 1 mm.
2022-05
medviso.com
Regulatory Approvals
Medviso's Segment 3DPrint has received FDA 510(k) clearance under the number K211966 and is CE-marked, ensuring its compliance with regulatory standards for medical devices. The company emphasizes its commitment to quality management, which is crucial for the safety and reliability of point-of-care 3D printed devices.
2022-05

Videos

Product demos, reviews, and walkthroughs for Segment 3DPrint.

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Frequently Asked Questions

Segment 3DPrint uses AI-powered algorithms to automatically generate models of bones, orbita, mandibles, congenital hearts, and tracheas from medical images. This AI integration aims to provide fast and reliable segmentation, which is crucial for creating high-quality anatomical models for 3D printing, virtual reality, and surgical planning.
Segment 3DPrint is CE marked and FDA 510(k) cleared, indicating it meets certain regulatory standards for medical devices. However, users are responsible for investigating and complying with the specific regulatory requirements pertinent to their country or location. The software is intended for use by medically trained professionals for visualization and image segmentation of medical images to generate anatomical 3D models for education or evaluating surgical treatment options.
While Segment 3DPrint offers advanced features, the accuracy and effectiveness of the resulting 3D models can be impacted by scan quality, such as slice thickness and the presence of artifacts. Pathological conditions can also present challenges, as abnormal anatomy may require more manual segmentation. Additionally, while the software is a tool to provide relevant clinical data, the clinician remains solely responsible for interpreting clinical data and making patient management decisions.
Yes, there are several other software solutions available for medical image segmentation and 3D model generation. These include open-source options like 3D Slicer, as well as commercial platforms such as Materialise Mimics and Synopsys Simpleware. These alternatives offer varying features, capabilities, and pricing structures, requiring a balance between cost, ease of use, and the precision needed for accurate 3D models.
While specific pricing for Segment 3DPrint is not publicly available, the overall costs associated with medical 3D printing workflows can include segmentation software licensing, which can be around $20,000 per year. Additionally, 3D printers themselves can range from $5,000 to over $100,000 depending on their capabilities, and materials can be expensive. There are also costs associated with the time spent by healthcare providers on segmentation, design, and review, which can amount to hundreds of dollars per case.

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Suggest an Edit → | Report an issue | Last Verified: 2026-04-18 | First Added: 2026-04-18
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