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

Autor: Shahid L; Department of Mechanical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA., Gonzalez-Pereira JP; Department of Mechanical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA., Johnson C; Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA., Bushman W; Department of Urology, University of Wisconsin-Madison, Madison, Wisconsin, USA., Roldán-Alzate A; Department of Mechanical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.; Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA.; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Jazyk: angličtina
Zdroj: International journal for numerical methods in biomedical engineering [Int J Numer Method Biomed Eng] 2024 Sep; Vol. 40 (9), pp. e3850. Date of Electronic Publication: 2024 Jul 15.
DOI: 10.1002/cnm.3850
Abstrakt: Over the last couple of decades, image-based computational fluid dynamics (CFD) has revolutionized cardiovascular research by uncovering hidden features of wall strain, impact of vortices, and its use in treatment planning, as examples, that were simply not evident in the gold-standard catheterization studies done previously. In the work presented here, we have applied magnetic resonance imaging (MRI)-based CFD to study bladder voiding and to demonstrate the feasibility and potential of this approach. We used 3D dynamic MRI to image the bladder and urethra during voiding. A surface mesh processing tool was developed to process the bladder wall prior to executing a wall-motion driven CFD simulation of the bladder and urethra. The obtained flow rate and pressure were used to calculate urodynamic nomograms, which are currently used in the clinical setting to assess bladder voiding dysfunction. These nomograms concluded that our healthy volunteer has an unobstructed bladder and normal contractility. We calculated the work done to void the bladder and propose this as an additional quantitative metric to comprehensively assess bladder function. Further, we discuss the areas that would improve this relatively new methodology of image-based CFD in urodynamics.
(© 2024 The Author(s). International Journal for Numerical Methods in Biomedical Engineering published by John Wiley & Sons Ltd.)
Databáze: MEDLINE
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