NeuroAnalyst: Developing a Standardized, Containerized Framework for Reproducible Neuroimaging Analysis

Motivation: Neuroimaging research faces challenges in reproducibility and accessibility, hindering scientific progress and translational applications. Goal(s): Develop NeuroAnalyst, an open-source platform providing a reproducible, containerized neuroimaging processing framework with robust progress tracking. Approach: Create Docker-based containerized processes for key neuroimaging pipelines, implement a REST API for process management, and develop a centralized database for results and provenance data. Results: Initial development of NeuroAnalyst demonstrates the feasibility of a reproducible processing framework, with containerized processes for structural and functional MRI pipelines, showing potential for enhanced reproducibility and streamlined workflows in neuroimaging research. Impact: NeuroAnalyst aims to significantly reduce technical barriers in neuroimaging research and enhance reproducibility. This standardized platform will enable more efficient collaboration, potentially leading to faster advancements in understanding brain function and neurological disorders.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/0937
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

NeuroAnalyst: Developing a Standardized, Containerized Framework for Reproducible Neuroimaging Analysis

Sahil Bajaj, Christopher Quarles, Chinmay Mokashi
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Cell Image Analysis Techniques
article

NeuroAnalyst: Developing a Standardized, Containerized Framework for Reproducible Neuroimaging Analysis

Sahil Bajaj, Christopher Quarles, Chinmay Mokashi
article en

Abstract

Motivation: Neuroimaging research faces challenges in reproducibility and accessibility, hindering scientific progress and translational applications. Goal(s): Develop NeuroAnalyst, an open-source platform providing a reproducible, containerized neuroimaging processing framework with robust progress tracking. Approach: Create Docker-based containerized processes for key neuroimaging pipelines, implement a REST API for process management, and develop a centralized database for results and provenance data. Results: Initial development of NeuroAnalyst demonstrates the feasibility of a reproducible processing framework, with containerized processes for structural and functional MRI pipelines, showing potential for enhanced reproducibility and streamlined workflows in neuroimaging research. Impact: NeuroAnalyst aims to significantly reduce technical barriers in neuroimaging research and enhance reproducibility. This standardized platform will enable more efficient collaboration, potentially leading to faster advancements in understanding brain function and neurological disorders.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 82%
Cell Image Analysis Techniques
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NeuroAnalyst: Developing a Standardized, Containerized Framework for Reproducible Neuroimaging Analysis — Sahil Bajaj, Christopher Quarles, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS