Abdominal Aorta AI Segmentation in DICOM Vision: AAA Measurements and Stent Analysis

In this demo, we show an early integration inside DICOM Vision of an AI model developed in collaboration with academic research teams from the University of Pavia and the University of Genoa.

The workflow focuses on abdominal aorta segmentation, with automatic extraction of relevant measurements for abdominal aortic aneurysm analysis and support for aortic stent evaluation.

The goal is to demonstrate how specialized AI models can be integrated directly into a DICOM-native medical imaging platform, making advanced image analysis more accessible within the imaging workflow itself.

Instead of moving data across disconnected tools, DICOM Vision can support a more integrated process:

DICOM / CTA study → AI aorta segmentation → automatic measurements → aneurysm analysis → stent evaluation → review

This type of workflow can support research, validation, clinical engineering, and AI-assisted image analysis by reducing manual steps and making model outputs easier to inspect, refine, and use.

DICOM Vision supports:

DICOM web viewing
PACS integration
Remote PACS import
DICOM anonymization workflows
AI-assisted segmentation
Automatic measurement workflows
Medical image annotation
Dataset creation for AI training and validation
Collaborative medical imaging workflows

This is an early technical demo focused on workflow integration, AI-assisted analysis, and visualization. It is not intended as an autonomous diagnostic tool.

Learn more: dicom.vision

Видео Abdominal Aorta AI Segmentation in DICOM Vision: AAA Measurements and Stent Analysis канала DICOM Vision