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Updated: May 25, 2026

Quantification of Levator Ani Hiatus Enlargement by Magnetic Resonance Imaging in Males and Females with Pelvic Organ Prolapse
Published on: April 17, 2019
Geometric modeling of pelvic organs
Thierry Bay1, Jean-Christophe Chambelland, Romain Raffin
1LSIS Laboratory, UMR CNRS 6168, ESIL, Campus de Luminy, Case postale 925, 13288 Marseille Cedex 9, France. thierry.bay@lsis.org
This study models patient-specific pelvic organ dynamics for surgical planning. The MoDyPe project creates detailed 3D models of pelvic organs to aid surgeons in choosing the best invasive methods.
Area of Science:
- Biomedical Engineering
- Computational Anatomy
- Medical Imaging
Background:
- Pelvic floor disorders arise from altered spatial configurations of pelvic organs (bladder, rectum, uterus, vagina).
- Surgical interventions for these disorders are complex and require precise planning.
- Existing methods lack patient-specific dynamic modeling for surgical decision-making.
Purpose of the Study:
- To develop a patient-specific computational model of pelvic organ dynamics.
- To support surgical decision-making for pelvic floor disorders.
- To create a framework for simulating soft body dynamics of pelvic organs.
Main Methods:
- Utilizing periodic B-splines and offsets to generate thick surfaces of hollow pelvic organs.
- Implementing a Hoschek-like iterative method to minimize the distance between organ surfaces and segmented 3D data.
- Controlling surface discretization and exporting hexahedral models for dynamic analysis.
Main Results:
- Successful generation of patient-specific, thick-walled 3D models of pelvic organs.
- Development of a robust method for surface reconstruction and control point optimization.
- Creation of input data suitable for soft body dynamics simulation.
Conclusions:
- The MoDyPe project provides a novel approach for patient-specific pelvic organ modeling.
- This methodology can enhance surgical planning and improve outcomes for pelvic floor disorders.
- The developed hexahedral models facilitate accurate dynamic simulations of pelvic organ behavior.
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