# High Resolution, Comprehensive Atlases of the Human Brain Morphology

> **NIH NIH R01** · BRIGHAM AND WOMEN'S HOSPITAL · 2020 · $268,494

## Abstract

Project Summary
 The overall goal of our parent award (R01MH112748) is to manually label 200 magnetic resonance (MR)
images from the Human Connectome Project (HCP) into a set of neuroanatomical structures that are more
refined and accurate than current MR atlases. One important component of our software contribution efforts has
been the development of a custom neurosegmentation module in 3D Slicer, a desktop-based open source image
analysis platform with a wide user base and 20-year history. While the desktop solution is efficient for a single
user storing all data locally, it is not well-suited for collaborative work on data stored in the cloud (in our case
data from the HCP). We thus propose to refactor the custom 3D Slicer module into a web-based editor with a
centralized access-controlled database of images that can be deployed on cloud infrastructures. One added
feature will be to codify our manual segmentation process into a computerized workflow. These workflows will
allow us to more easily adapt and scale the software. Additionally, we will be able to record and publish image
segmentation workflows, as well as provenance information for all files generated by these segmentation
processes, thereby improving our compliance with open and rigorous science best practices. The project will
consist of four aims (i) refactoring core functionalities into web-based tools, (ii) description of our interactive
segmentation workflows into a computerized language, (iii) integration of the tools and workflows into SPINE, a
web-based virtual laboratory platform, and (iv) deployment on commercial cloud services with proper
communication protocols to interact with public data repositories.

## Key facts

- **NIH application ID:** 10165186
- **Project number:** 3R01MH112748-03S1
- **Recipient organization:** BRIGHAM AND WOMEN'S HOSPITAL
- **Principal Investigator:** Sylvain Bouix
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $268,494
- **Award type:** 3
- **Project period:** 2020-09-01 → 2020-10-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10165186

## Citation

> US National Institutes of Health, RePORTER application 10165186, High Resolution, Comprehensive Atlases of the Human Brain Morphology (3R01MH112748-03S1). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10165186. Licensed CC0.

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