Geometric modeling of pelvic organs

Abstract

The pelvic floor can be subjected to different disorders, coming from a physiological change in the spatial configuration of the organs of interest: the bladder, the rectum, the uterus and the vagina. However, resort to surgery to replace them is complicated to achieve. In order to support the decision of the surgeon as to the invasive method to use for the patient, the MoDyPe (Pelvis Dynamics Modeling) project was launched, aiming at building a patient specific pelvic organ behavior. Our approach consists in creating thick surfaces of hollow organs, using periodic B-splines and offsets, then in controlling their discretization and in exporting a hexahedral model to provide input data for the study on the dynamics of the soft bodies of interest. From a segmentation step providing a dataset of 3D points, a function is built to measure the bidirectional distance between the surface and the data. It is minimized with an alternate iterative Hoschek-like method, by updating the parametric map and moving the control points. Several offsets of the base surface are then created to build up the thickness of the organ.

Uterus Modeling From Cell to Organ Level: Towards Better Understanding of Physiological Basis of Uterine Activity

“…Not a few studies involving organ-level uterus modeling have validated their model, most of which used either literature data [25], [27] or original experimental recording [11], [26], [32], [52], [55], [60], [77], [81], [82]. Kelsey et al performed the validation using both the data recorded from 87 children and those extracted from other publications for the modeling of age-related uterine volume [83].…”

Three‐dimensional physics‐based registration of pelvic system using 2D dynamic magnetic resonance imaging slices

“…Results were reported with respect to pelvic organ prolapse quantification system (POP‐Q). In parallel with the previous contributions, dealt with the issue of geometric modelling of pelvic organs that had not been treated in these contributions. Bay et al presented a method to reconstruct hollow organs with a thickness from pre‐segmented points cloud.…”

“…In parallel with the previous contributions, dealt with the issue of geometric modelling of pelvic organs that had not been treated in these contributions. Bay et al presented a method to reconstruct hollow organs with a thickness from pre‐segmented points cloud. In Jiang et al, a more efficient approach was proposed to generate readily usable computer‐assisted design (CAD) pelvic geometries for FE simulations.…”

B‐spline Based Multi‐organ Detection in Magnetic Resonance Imaging

“…Existing work [6] has introduced an algorithm creating thick surfaces of hollow pelvic organs, using periodic Bsplines and offsets. This modelling was a step between segmentation and physical modelling.…”