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Updated: Jan 30, 2026

Visualization and Analysis of Blood Flow and Oxygen Consumption in Hepatic Microcirculation: Application to an Acute Hepatitis Model
Published on: August 4, 2012
Mapping hepatic blood oxygenation by quantitative BOLD (qBOLD) MRI
Kenneth Wengler1, Jinhong Wang2, Mario Serrano Sosa1
1Department of Biomedical Engineering, Stony Brook University, Stony Brook, New York, New York.
A new quantitative BOLD (qBOLD) MRI model noninvasively maps liver oxygenation and blood volume. This method corrects for estimation bias, enabling accurate assessment of hepatic tissue hypoxia in liver diseases.
Area of Science:
- Medical Imaging
- Hepatology
- Biophysics
Background:
- Hepatic oxygenation abnormalities indicate liver dysfunction and treatment response.
- Current MRI methods offer only semiquantitative hepatic oxygenation assessment.
Purpose of the Study:
- To propose and validate a quantitative BOLD (qBOLD) model for noninvasive mapping of hepatic venous blood oxygen saturation (Yv) and deoxygenated blood volume (DBV).
- To evaluate the model's validity and estimation bias using Monte Carlo simulations and human subject scans.
Main Methods:
- Development of a single-compartment hepatic qBOLD model.
- Monte Carlo simulations to assess model validity and estimation bias.
- Scanning of eight healthy human subjects using the developed qBOLD protocol.
Main Results:
- Simulations revealed deviations in T2* decay due to high hepatic blood volume fraction.
- Initial qBOLD model showed small bias for Yv and overestimation for DBV, correctable with calibration curves.
- Post-correction, mean hepatic Yv was 56.8 ± 6.8% and DBV was 0.190 ± 0.035, aligning with invasive methods.
Conclusions:
- The corrected hepatic qBOLD approach allows noninvasive, quantitative mapping of liver blood volume and oxygenation.
- This protocol can be utilized for assessing hepatic tissue hypoxia in various liver diseases.
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