Partial volume effect compensation for improved reliability of quantitative blood-brain barrier permeability

Area of Science:

• Neuroimaging
• Biomedical Engineering
• Quantitative MRI

Background:

• The blood-brain barrier (BBB) is crucial in central nervous system disorders.
• Magnetic Resonance Imaging (MRI) estimates BBB permeability (k(i)) using tracer kinetics.
• Partial volume (PV) averaging from rapid MRI acquisition can compromise k(i) estimate reliability.

Purpose of the Study:

• To evaluate the impact of PV averaging on BBB permeability coefficient (k(i)) estimates.
• To propose and validate a dynamic postprocessing technique for PV compensation in quantitative neuroimaging.

Main Methods:

• Developed a computer simulation model to assess PV averaging effects on k(i).
• Proposed a postprocessing technique utilizing dynamic information for PV compensation.
• Applied the technique to MRI data from a rat stroke model using a 4.7-T scanner.

Main Results:

• Simulation experiments provided insights into PV effects on k(i) estimates.
• MR experiments demonstrated the application of the PV compensation technique.
• Simulation findings correlated well with experimental MR results.

Conclusions:

• PV averaging is a significant, often unaddressed, issue in quantitative MRI.
• PV compensation is crucial for enhancing the reliability of BBB permeability coefficient estimates.
• Future work includes tissue classification for improved accuracy and repeatability studies.