Segment 3DPrint

by Medviso AB  · Based in Sweden →Complete software solution for Point-of-Care 3D printing.
Neurosurgery Plastic Surgery Radiology

Contact for details
Regulatory Status Disclosed

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

DICOM Support & Standards
Reads medical images in DICOM format, allowing import from CDs, scanners, or PACS systems. Exports high-quality STL or OBJ files for 3D printing and virtual reality.
PACS Integration Method
Offers PACS connectivity for efficient clinical workflow, including an 'Import from PACS' function to search and load patient studies. An integrated server solution and Segment Server module are available for sending images directly from scanners or PACS, and storing analysis in PACS.
Reading Room Workflow Impact
Designed to save time with fast, AI-powered segmentation for high-quality 3D model creation. Features an intuitive user interface, unique segmentation workflow, advanced reporting, and a built-in QA wizard to personalize patient care and plan surgery.
AI Model Architecture (deep learning approach)
Utilizes AI-based segmentation algorithms, specifically a deep learning framework incorporating a 2D U-Net Convolutional Neural Network (CNN). This network processes three orthogonal stacks of 2D images (transversal, sagittal, coronal) and segments images in smaller patches to optimize memory and work with limited training data.
Processing Speed (per study)
Emphasizes 'Fast and reliable AI-based tools' that 'quickly delivers the desired output'. The AI-based bone segmentation algorithm is noted to 'speed up your bone segmentation process dramatically'.
FDA Clearance Pathway (510k/De Novo)
FDA 510(k) cleared (K211966) and CE-marked under the Medical Device Regulation (EU) 2017/745 (MDR).
Supported Modalities (CT/MRI/X-ray/US)
Supports images from CT and MR scanners. Includes a fusion module to register MR and CT images. Recommendations for optimal imaging include CT for bone/vessels and MRI for tumors.
Sensitivity & Specificity Data
For automatic AI-based bone segmentation, the 95th percentile of the surface distance from automatic segmentation falls within 1 mm of ground truth manual delineation by an expert reader. Validated print accuracy of <1 mm with the Form 3B printer.
RSNA/ACR Validation
Medviso attends RSNA, and the software's applications align with the RSNA/ACR 3D printing clinical data registry. Medviso provides guidelines on how to properly refer to Segment in publications, emphasizing validation for robust measurements.
Physician Tip

Leverage the AI-powered segmentation for rapid generation of anatomical models, particularly for bones, to significantly reduce preparation time for 3D printing or virtual planning. Utilize the fusion module to combine CT and MR images, providing a more comprehensive anatomical understanding for complex cases, especially when assessing both bone and soft tissue pathologies. Take advantage of the built-in QA wizard and advanced reporting features to ensure quality control and generate detailed documentation for 3D models, which is crucial for clinical and regulatory compliance. Consider the software for a broad range of clinical applications, including orthopaedic, maxillofacial, and cardiovascular cases, for both pediatric and adult populations. For optimal image quality, follow imaging recommendations such as isotropic resolution (u22640.5 mm recommended) and using soft kernels for CT bone/vessel models, and MRI for tumors.

Segment 3DPrint supports DICOM standard for image import from scanners or PACS systems, facilitating integration into existing radiology workflows. The software offers PACS connectivity, allowing for direct import of studies and the potential to store analysis results back into PACS, enhancing data management. While PACS integration is available, Medviso's instructions for use suggest that installing DICOM servers and PACS connection is not always recommended unless required, implying a flexible setup that can be standalone or integrated. The Segment Server module and an external PACS integration (SegmentAPI.exe) are available for more robust PACS communication, requiring collaboration with Medviso personnel for configuration. Output is in high-quality STL or OBJ files, ready for direct use with 3D printers and virtual reality platforms.

Details

Category Radiology & Imaging AI, Surgical AI
Pricing Contact for details Contact sales for flexible license terms and pricing.
DeploymentOn-premise (standard PC setup)
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

Segment 3DPrint has FDA 510(k) clearance with number K211966, issued on May 6, 2022. It is intended for generating 3D models for diagnostic purposes, visualization, measuring, and treatment planning, and can be used to fabricate physical replicas via additive manufacturing methods.

Integrations
EHR Not specified
Specialties Neurosurgery, Plastic Surgery, Radiology

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Press & Coverage

Medviso
Segment 3DPrint has a fresh new look!
Medviso announced a fresh interface and powerful new functions for Segment 3DPrint, simplifying 3D model preparation. This update aims to enhance the user experience and streamline workflows for creating anatomical models.
2025-12
Medviso
Segment 3DPrint and Segment CMR just got major upgrades!
Medviso released major upgrades for Segment 3DPrint and Segment CMR, introducing new tools for 3D modeling, smarter segmentation, AI automation, and enhanced reporting. These advancements aim to improve patient care and treatment planning.
2025-06
PMC (PubMed Central)
Generalizable deep learning framework for 3D medical image segmentation using limited training data
This study details a robust deep learning framework for 3D medical image segmentation, incorporated into Segment 3DPrint, that achieves high performance with limited training data. The framework aims to automate and improve the accuracy of anatomical structure delineation for 3D printing and virtual surgery planning.
2025-03
Medviso
Segment Release 4.1
Medviso announced the release of Segment 4.1, which includes AI AutoMate for fully automated processing of DICOM data and a major upgrade to the Strain MITT module for comprehensive strain analysis of all four heart chambers. This update incorporates user feedback to create a better software.
2024-10
ResearchGate
Generalizable deep learning framework for 3D medical image segmentation using limited training data
This paper presents a deep learning framework for 3D medical image segmentation, integrated into Segment 3DPrint, designed to perform effectively even with small datasets. The approach aims to overcome the need for extensive data and heavy GPU resources, making advanced segmentation more accessible in healthcare.
2024-07
PMC (PubMed Central)
Mature AI/ML-Enabled Medical Tools Impacting Vascular Surgical Care: A scoping review of late-stage, FDA approved/cleared technologies relevant to vascular surgeons
This review highlights Segment 3DPrint as an FDA-cleared technology for radiology and surgical planning, capable of segmenting CT or MRI scans to produce preoperative anatomical models for measurement, education, or planning. It underscores the growing impact of AI/ML tools in vascular surgical care.
2022
Medviso
FDA clearance of Segment 3DPrint
Medviso announced that Segment 3DPrint received FDA 510(k) clearance (K211966) in May 2022. This regulatory approval allows the software to be used for diagnostic purposes in both pediatric and adult populations for orthopedic, maxillofacial, and cardiovascular applications.
2022-05
Medviso
First 3D printed PEEK implant made in hospital
In November 2021, the world's first 3D printed PEEK cranioplasty implant, designed using Segment 3DPrint, was successfully implanted in a patient at Sku00e5ne University Hospital. This marks a significant advancement in point-of-care 3D printing in medicine.
2021-12

Videos

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