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.
Subject(s)
Humans , Algorithms , Artifacts , Artificial Intelligence , Image Processing, Computer-Assisted , Methods , Magnetic Resonance Imaging , Methods , Phantoms, Imaging , Reference Standards , Quality ControlABSTRACT
Objective To provide an automatical method for quality assurance (QA) of magnetic resonance imaging. Methods Digital imaging and communications in medicine (DICOM) protocol was used to control the process of QA calculation and storage;the region of interest was auto delineated by process. Results The parameters of stability calculated by process reflected the equipment states in a certain extent and avoided the subjectivity which referring to the region of interest. Conclusion Automatical QA method brings the convenience to QA work on aspects of acquiring, analysis and data saving.