Computational fluid dynamics of bladder voiding using 3D dynamic MRI.

Area of Science:

• Urodynamics
• Medical Imaging
• Computational Fluid Dynamics

Background:

• Image-based computational fluid dynamics (CFD) has transformed cardiovascular research.
• Traditional catheterization studies have limitations in assessing complex fluid dynamics.
• Assessing bladder voiding dysfunction often relies on clinical urodynamic assessments.

Purpose of the Study:

• To apply magnetic resonance imaging (MRI)-based CFD to investigate bladder voiding.
• To demonstrate the feasibility and potential of MRI-CFD in urodynamics.
• To introduce a new quantitative metric for bladder function assessment.

Main Methods:

• Utilized 3D dynamic MRI to capture bladder and urethra imaging during voiding.
• Developed a surface mesh processing tool for bladder wall analysis.
• Executed wall-motion driven CFD simulations of the bladder and urethra.

Main Results:

• Calculated urodynamic nomograms from MRI-CFD data (flow rate and pressure).
• The results indicated normal bladder contractility and no obstruction in the healthy volunteer.
• Quantified the work done during bladder voiding.

Conclusions:

• MRI-based CFD is a feasible and potentially powerful tool for urodynamic studies.
• The calculated work of voiding offers a new quantitative measure for bladder function.
• This methodology has the potential to enhance the assessment of bladder voiding dysfunction.