✦ LIBER ✦

Quality control for functional magnetic resonance imaging using automated data analysis and Shewhart charting

✍ Scribed by Andrew Simmons; Elizabeth Moore; Steven C.R. Williams

Publisher: John Wiley and Sons
Year: 1999
Tongue: English
Weight: 124 KB
Volume: 41
Category: Article
ISSN: 0740-3194
DOI: 10.1002/(sici)1522-2594(199906)41:6<1274::aid-mrm27>3.0.co;2-1

No coin nor oath required. For personal study only.

✦ Synopsis

A data acquisition and analysis protocol for quality control (QC) of functional magnetic resonance imaging studies is presented. Two sets of data are acquired, single-timepoint data for measurement of signal-to-ghost and signal-to-noise ratios, and multipletimepoint data for measurement of short-term drift. Since manual data analysis can be time consuming and an impediment to regular QC, an automated data processing scheme is presented. The use of automated Shewhart charting is proposed to identify significant changes in each parameter over the long term. The protocol has successfully identified system faults and deteriorations undetected by conventional QC. Magn Reson Med 41:

📜 SIMILAR VOLUMES

Analysis of functional magnetic resonanc

Analysis of functional magnetic resonance imaging data using self-organizing mapping with spatial connectivity

✍ Shing-Chung Ngan; Xiaoping Hu 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 234 KB 👁 1 views

Creation and use of a Talairach-compatib

Creation and use of a Talairach-compatible atlas for accurate, automated, nonlinear intersubject registration, and analysis of functional imaging data

✍ Roger P. Woods; Mirella Dapretto; Nancy L. Sicotte; Arthur W. Toga; John C. Mazz 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 207 KB

Spatial normalization in functional imaging can encompass various processes, including nonlinear warping to correct for intersubject differences, linear transformations to correct for identifiable head movements, and data detrending to remove residual motion correlated artifacts. We describe the use