@inproceedings{ac3327310510472d88524b3f6796619b,
title = "MR efficiency using automated MRI-desktop eProtocol",
abstract = "MRI protocols are instruction sheets that radiology technologists use in routine clinical practice for guidance (e.g., slice position, acquisition parameters etc.). In Mayo Clinic Arizona (MCA), there are over 900 MR protocols (ranging across neuro, body, cardiac, breast etc.) which makes maintaining and updating the protocol instructions a labor intensive effort. The task is even more challenging given different vendors (Siemens, GE etc.). This is a universal problem faced by all the hospitals and/or medical research institutions. To increase the efficiency of the MR practice, we designed and implemented a web-based platform (eProtocol) to automate the management of MRI protocols. It is built upon a database that automatically extracts protocol information from DICOM compliant images and provides a user-friendly interface to the technologists to create, edit and update the protocols. Advanced operations such as protocol migrations from scanner to scanner and capability to upload Multimedia content were also implemented. To the best of our knowledge, eProtocol is the first MR protocol automated management tool used clinically. It is expected that this platform will significantly improve the radiology operations efficiency including better image quality and exam consistency, fewer repeat examinations and less acquisition errors. These protocols instructions will be readily available to the technologists during scans. In addition, this web-based platform can be extended to other imaging modalities such as CT, Mammography, and Interventional Radiology and different vendors for imaging protocol management.",
keywords = "DICOM, Informatics, MRI, Platform, Protocol report",
author = "Fei Gao and Yanzhe Xu and Anshuman Panda and Min Zhang and James Hanson and Congzhe Su and Teresa Wu and William Pavlicek and James, {Judy R.}",
year = "2017",
month = jan,
day = "1",
doi = "10.1117/12.2249712",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Cook, {Tessa S.} and Jianguo Zhang",
booktitle = "Medical Imaging 2017",
note = "Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications ; Conference date: 15-02-2017 Through 16-02-2017",
}