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Impact of physiological noise correction on detecting blood oxygenation level-dependent contrast in the breast
- Source :
- Physics in Medicine and Biology
- Publication Year :
- 2016
-
Abstract
- Physiological fluctuations are expected to be a dominant source of noise in blood oxygenation level-dependent (BOLD) magnetic resonance imaging (MRI) experiments to assess tumour oxygenation and angiogenesis. This work investigates the impact of various physiological noise regressors: retrospective image correction (RETROICOR), heart rate (HR) and respiratory volume per unit time (RVT), on signal variance and the detection of BOLD contrast in the breast in response to a modulated respiratory stimulus. BOLD MRI was performed at 3 T in ten volunteers at rest and during cycles of oxygen and carbogen gas breathing. RETROICOR was optimized using F-tests to determine which cardiac and respiratory phase terms accounted for a significant amount of signal variance. A nested regression analysis was performed to assess the effect of RETROICOR, HR and RVT on the model fit residuals, temporal signal-to-noise ratio, and BOLD activation parameters. The optimized RETROICOR model accounted for the largest amount of signal variance (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$ \Delta R_{\text{adj}}^{2}$ \end{document}ΔRadj2 = 3.3 ± 2.1%) and improved the detection of BOLD activation (P = 0.002). Inclusion of HR and RVT regressors explained additional signal variance, but had a negative impact on activation parameter estimation (P
- Subjects :
- Adult
Male
Paper
physiological noise
Respiration
Signal-To-Noise Ratio
Magnetic Resonance Imaging
functional magnetic resonance imaging
Oxygen
haemodynamic response
Young Adult
Heart Rate
BOLD contrast
Image Processing, Computer-Assisted
Humans
Regression Analysis
Female
Breast
retrospective image correction
Artifacts
Retrospective Studies
Subjects
Details
- ISSN :
- 13616560
- Volume :
- 62
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Physics in medicine and biology
- Accession number :
- edsair.pmid..........27520724ad79c49ed714fb05d80d883d