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Abstract #4832

Computational Fluid Dynamics Of Bladder Voiding Using 3D Dynamic MRI

Labib Shahid1, Juan Pablo Gonzalez-Pereira1, Cody Johnson1, Wade Bushman1, and Alejandro Roldan-Alzate1
1University of Wisconsin-Madison, Madison, WI, United States

Synopsis

Keywords: In Silico, In Silico, MRI-based CFD, Urodynamics

Motivation: Catheter-based urodynamic studies to assess bladder dysfunction are invasive and provide inadequate biomechanical information. MRI-based computational fluid dynamics (CFD) has demonstrated potential to uncover these features not evident from catheterization.

Goal(s): Develop and implement a computational methodology to non-invasively assess urodynamics.

Approach: Acquire 3D dynamic MRI of bladder voiding. Use the images to execute subject-specific CFD simulations of the bladder and urethra. Calculate existing urological nomograms and energy expended to quantify bladder function using the MRI and CFD results.

Results: The healthy subject showed unobstructed bladder outlet and normal contractility. We calculated the energy expended to void bladder for the first time.

Impact: A method using MRI-based computational fluid dynamics was developed to simulate bladder voiding. Results show successful quantification of urine flow dynamics. This method shows potential to overcome limitations of current invasive catheter-based urodynamic studies.

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