PV-iVision

AI-powered 3D Computed Tomography Reconstruction System

Employ state-of-the-art AI technology, like deep Iterative 3D convolutional neural networks, for precise pre-op planning in thoracic and abdominal surgeries. PV-iVision ensures thorough analysis of anatomy, providing surgeons with tailored, real-time surgical plans. This boosts precision and safety, transforming surgical practices.

Solutions

3D Model Reconstruction
Surgical Planning

Auto Reconstruction

Supports automatic reconstruction for multiple areas, including thoracic surgery, hepatobiliary surgery, urology, and spine

Manual Editing Tools

Use manual editing tools to directly perform operations such as cropping, region growing, segmentation on 3D models

Puncture Planning

Generate the optimal puncture path in real time, assisting doctors in avoiding critical tissues and blood vessels, thereby ensuring the efficiency and safety of the procedure

Surface Segmentation

Construct virtual surgical cutting planes by creating curved surfaces on liver model, enabling doctors to plan liver resection procedures with precision.

Deployment

Compatible with DICOM protocols and mainstream devices
Deployed within institution to ensure data safety
Supports multiple terminals and mobile devices

Accurate 3D Reconstruction

Thoracic

Upper Abdomen

Lower Abdomen

Spine

Showcase
Model List

Showcase
Model List

Showcase
Model List

Showcase
Model List

Watershed Analysis

Watch Video

Collaboration

2D
3D

2D Image

On conventional two-dimensional CT images, it is challenging to distinguish the arteries, veins, and bronchi of pulmonary segments or subsegments

3D Model Reconstruction

3D reconstruction significantly amplifies the structural details of the lesion, allowing for clear identification of the spatial relationship between the nodule and major blood vessels or bronchi. This enables preoperative virtual localization and resection planning of pulmonary nodules, assisting doctors in accurately ligating the correct vessels before surgery.

BGI

BGI

Sun Yat-sen University Cancer Center

Sun Yat-sen University Cancer Center

HIT Big Data Group

HIT Big Data Group

KINGMED

KINGMED

CEI Cloud

CEI Cloud

SUMHS

SUMHS

Harvard University

Harvard University

University of Michigan

University of Michigan

Advantages

Process

PV-iVision utilizes cutting-edge and proprietary algorithms to ensure the system’s high performance

2 minutes

Auto-reconstruction of upper abdominal models from a single sequence takes only

4th Level and Beyond

Auto-reconstruction of pulmonary arteries, veins, and bronchi can be up to

3rd Level and Beyond

Vascular reconstruction of the portal vein system, hepatic veins, and upper abdominal arteries can be up to

Comprehensive Manual Reconstruction Features

Developed through in-depth research into the reconstruction habits of clinicians and reconstruction engineers

Offers user-friendly manual reconstruction tools designed to reduce the learning curve and enhance the user experience

Adaptable to various clinical scenarios and cater to the preferences of different users

User-friendly Surgical Planning Functionality

Enables users to simulate surgical procedures, not only enhancing the accuracy of preoperative planning but also reducing the risk of intraoperative complications

This empowers doctors to perform complex surgeries with greater confidence, improving clinical outcomes and patient prognosis