Impact of physiological noise correction on detecting blood oxygenation level-dependent contrast in the breast. (13th December 2016)

• Record Type: Journal Article
• Authors: Wallace, Tess E; Manavaki, Roido; Graves, Martin J; Patterson, Andrew J; Gilbert, Fiona J
• Is Part Of: Physics in medicine & biology. Volume 62:Number 1(2017:Jan.)
• Page Start: 127
• Page End: 145
• Publication Date: 2016-12-13
• Subjects: functional magnetic resonance imaging -- physiological noise -- retrospective image correction -- BOLD contrast -- haemodynamic response; Biophysics -- Periodicals; Medical physics -- Periodicals; 610.153
• DOI: 10.1088/1361-6560/62/1/127
• Languages: English
• ISSNs: 0031-9155

Abstract

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 ( Δ R adj 2 = 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 < 0.001). Fluctuations in HR and RVT appeared to be correlated with the stimulus and may contribute to apparent BOLD signal reactivity.