---
title: "MONAI - Ultrasound Working Group"
description: "Advancing MONAI's support for ultrasound AI research and development, from point-of-care diagnosis to surgical robot guidance and from raw RF to 4D acquisitions."
canonical: https://project-monai.github.io/wg_ultrasound.html
audience: [engineer]
last_updated: 2026-06-11
source: wg_ultrasound.html
---
# Ultrasound  
Working Group

Mission Statement

This working group will focus on enabling reproducible, scalable AI development for ultrasound within the MONAI ecosystem. Key priorities include harmonizing data formats (e.g., DICOM for B-mode); supporting data streaming (e.g., for RF signals); standardizing annotation formats and labeling protocols for common ultrasound tasks; and defining reusable pipelines for training, inference, evaluation, and deployment. Short-term and long-term priorities and focal clinical applications will be determined by participants of the group. By collaborating with the MONAI developers, the group will move from requirements to implemented solutions.

## Initiatives

### Broad, long-term initiatives

-   • Connectivity with ultrasound devices
-   • Data de-identification and pre-processing
-   • TotalSegmentator for ultrasound
-   • Algorithms for B-mode and RF ultrasound
-   • Ultrasound simulation

### Current Focus

-   • TBD

### Future Focus

-   • TBD

## Group Leads

![Tina Kapur](/assets/img/people/tina-kapur.jpg)

Tina Kapur

Center Executive Director, Surgical Planning Laboratory

Department of Radiology, Brigham and Women's Hospital, Harvard Medical School

Ultrasound Working Group Chair

[View Profile](https://www.linkedin.com/in/tina-kapur-5a91a8139/)

![Stephen Aylward](/assets/img/people/stephen-aylward.jpg)

Stephen Aylward

Global Lead for Strategic Applied Research, Medical Devices

NVIDIA

Ultrasound Working Group Chair

[View Profile](https://www.linkedin.com/in/stephenaylward/)

## Collaboration Opportunities

### Join and Contribute

-   • [Join our regular working group meetings](https://forms.gle/TVRKXbonDXvTuzEc7)
-   • Share your ultrasound experience and requirements
-   • Participate in defining standards and best practices
-   • Contribute your ultrasound AI methods
-   • Help shape the future of medical AI for ultrasound