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Automating PACS Quality Control with the Vanderbilt Image Processing Enterprise Resource.

Michael L Esparza¹, E Brian Welch², Bennett A Landman³

¹Computer Science, Vanderbilt University, Nashville, TN, USA 37235.

Proceedings of Spie--The International Society for Optical Engineering

|December 21, 2013

Summary

A new system, Vanderbilt Image Processing Enterprise Resource (VIPER), enhances medical imaging quality control. VIPER integrates research tools with clinical Picture Archiving and Communication Systems (PACS) for scalable, automated image analysis.

Keywords:

Automated Image Processing DICOM PACS Quality Control

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Area of Science:

Medical Imaging
Health Informatics
Computational Biology

Background:

Accurate medical imaging is crucial for patient care and research.
Current quality control methods are insufficient for detecting all dataset corruptions.
Integrating research tools with clinical workflows is challenging due to system incompatibilities.

Purpose of the Study:

To propose a scalable system for integrating modular quality control and image analysis routines with standard Picture Archiving and Communication Systems (PACS).
To address the limitations of manual image inspection and the incompatibility of research systems with clinical workflows.
To facilitate collaboration and deployment of new image analysis technologies at an institutional level.

Main Methods:

Development of the Vanderbilt Image Processing Enterprise Resource (VIPER) system.
Integration of modular quality control and image analysis routines.
Connection to high-performance computing environments and standard PACS configurations.

Main Results:

VIPER successfully analyzed all standard scans from the institutional research center over 18 months.
The system provides a unified platform for image processing across an institution.
A simple interface enables investigator collaboration for deploying new analysis technologies.

Conclusions:

VIPER offers a scalable solution for quantitative quality control in medical imaging.
The system bridges the gap between research and clinical imaging workflows.
VIPER promotes efficient and collaborative image analysis in healthcare settings.