Analysis on DQA protocol of fMRI.
- Author:
Hehan TANG
1
;
Rongbo LIN
;
Cunjiu WANG
;
Haoyang XING
;
Qiyong GONG
Author Information
1. Department of Radiology of West China Hospital, Sichuan University, Chengdu 610041, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Artifacts;
Artificial Intelligence;
Humans;
Image Processing, Computer-Assisted;
methods;
Magnetic Resonance Imaging;
methods;
Phantoms, Imaging;
standards;
Quality Control
- From:
Journal of Biomedical Engineering
2010;27(6):1247-1250
- CountryChina
- Language:Chinese
-
Abstract:
Our purpose is to introduce and analyze the data quality assurance (DQA) protocol of functional magnetic resonance imaging (fMRI). A water phantom was scanned to get DQA indexes. An fMRI sequence was used to get signal noise ratio (SNR) and Drift, which was calculated from maximum difference ratio of the average signal intensity in the region of interest (ROI) of image serials. The long period application of this method demonstrated that this DQA protocol can reflect imaging performance and the state of stability of the MRI scanner. Some application experience and discussion involved in DQA were also presented here.
