Simultaneous measurement of tissue oxygen level-dependent (TOLD) and blood oxygenation level-dependent (BOLD) effects in abdominal tissue oxygenation level studies
نویسندگان
چکیده
منابع مشابه
Measurement of renal tissue oxygenation with blood oxygen level-dependent MRI and oxygen transit modeling.
Blood oxygen level-dependent (BOLD) MRI data of kidney, while indicative of tissue oxygenation level (Po2), is in fact influenced by multiple confounding factors, such as R2, perfusion, oxygen permeability, and hematocrit. We aim to explore the feasibility of extracting tissue Po2 from renal BOLD data. A method of two steps was proposed: first, a Monte Carlo simulation to estimate blood oxygen ...
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Blood oxygen level-dependent magnetic resonance imaging (BOLD MRI) has recently emerged as an important noninvasive technique to assess intrarenal oxygenation under physiologic and pathophysiologic conditions. Although this tool represents a major addition to our armamentarium of methodologies to investigate the role of hypoxia in the pathogenesis of acute kidney injury and progressive chronic ...
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Introduction The majority of studies investigating the linearity of the BOLD signal suggested existence of significant nonlinearity. In these studies, repeated stimuli led to successively smaller BOLD amplitudes and delayed BOLD onset latencies when the inter-stimulus interval (ISI) is shorter than a few seconds. The mechanism of nonlinearity in the BOLD signal remains unknown, partially becaus...
متن کاملOrigin of negative blood oxygenation level-dependent fMRI signals.
Functional magnetic resonance imaging (fMRI) techniques are based on the assumption that changes in spike activity are accompanied by modulation in the blood oxygenation level-dependent (BOLD) signal. In addition to conventional increases in BOLD signals, sustained negative BOLD signal changes are occasionally observed and are thought to reflect a decrease in neural activity. In this study, the...
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ژورنال
عنوان ژورنال: Journal of Magnetic Resonance Imaging
سال: 2013
ISSN: 1053-1807
DOI: 10.1002/jmri.24006