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Article Dans Une Revue Computer Methods and Programs in Biomedicine Année : 2023

Four-dimensional reconstruction and characterization of bladder deformations

Résumé

Background and Objective: Pelvic floor disorders are prevalent diseases and patient care remains difficult as the dynamics of the pelvic floor remains poorly understood. So far, only 2D dynamic observations of straining exercises at excretion are available in the clinics and 3D mechanical defects of pelvic organs are not well studied. In this context, we propose a complete methodology for the 3D representation of non-reversible bladder deformations during exercises, combined with a 3D representation of the location of the highest strain areas on the organ surface. Methods: Novel image segmentation and registration approaches have been combined with three geometrical configurations of up-to-date rapid dynamic multi-slice MRI acquisitions for the reconstruction of real-time dynamic bladder volumes. Results: For the first time, we proposed real-time 3D deformation fields of the bladder under strain from in-bore forced breathing exercises. The potential of our method was assessed on eight control subjects undergoing forced breathing exercises. We obtained average volume deviations of the reconstructed dynamic volume of bladders around 2.5% and high registration accuracy with mean distance values of 0.4 0.3 mm and Hausdorff distance values of 2.2 1.1 mm. Conclusions: The proposed framework provides proper 3D+t spatial tracking of non-reversible bladder deformations. This has immediate applicability in clinical settings for a better understanding of pelvic organ prolapse pathophysiology. This work can be extended to patients with cavity filling or excretion problems to better characterize the severity of pelvic floor pathologies or to be used for preoperative surgical planning.
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hal-04090378 , version 1 (16-11-2023)

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Augustin C. Ogier, Stanislas Rapacchi, Marc‐Emmanuel Bellemare. Four-dimensional reconstruction and characterization of bladder deformations. Computer Methods and Programs in Biomedicine, 2023, 237, pp.107569. ⟨10.1016/j.cmpb.2023.107569⟩. ⟨hal-04090378⟩
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