Combining loss functions for deep learning bladder segmentation on dynamic MRI
H Marc-Adrien, P Nicolas… - 2021 IEEE EMBS …, 2021 - ieeexplore.ieee.org
Pelvic floor disorders mainly affect women and turn to be a public health issue although their
pathophysiology is still poorly understood. As the main concerned organs undergo motions …
pathophysiology is still poorly understood. As the main concerned organs undergo motions …
Automated contour tracking and trajectory classification of pelvic organs on dynamic MRI
I Nekooeimehr, S Lai-Yuen, P Bao… - Journal of Medical …, 2018 - spiedigitallibrary.org
A method is presented to automatically track and segment pelvic organs on dynamic
magnetic resonance imaging (MRI) followed by multiple-object trajectory classification to …
magnetic resonance imaging (MRI) followed by multiple-object trajectory classification to …
3D dynamic MRI for pelvis observation-a first step
In the context of pelvic floor diseases understanding we advocate a process to observe the
bladder over time in 3D. Thanks to multiplanar MRI acquisitions and adequate volume …
bladder over time in 3D. Thanks to multiplanar MRI acquisitions and adequate volume …
Four-dimensional reconstruction and characterization of bladder deformations
AC Ogier, S Rapacchi, ME Bellemare - Computer Methods and Programs …, 2023 - Elsevier
Abstract 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 …
care remains difficult as the dynamics of the pelvic floor remains poorly understood. So far …
A new geodesic-based feature for characterization of 3D shapes: application to soft tissue organ temporal deformations
Spatio-temporal feature descriptors are of great importance for characterizing the local
changes of 3D deformable shapes. In this study, we propose a method for characterizing 3D …
changes of 3D deformable shapes. In this study, we propose a method for characterizing 3D …
Three-dimensional reconstruction and characterization of bladder deformations
AC Ogier, S Rapacchi, ME Bellemare - arXiv preprint arXiv:2301.07385, 2023 - arxiv.org
Background and Objective: Pelvic floor disorders are prevalent diseases and patient care
remains difficult as the dynamics of the pelvic floor remains poorly known. So far, only 2D …
remains difficult as the dynamics of the pelvic floor remains poorly known. So far, only 2D …
Automated tracking, segmentation and trajectory classification of pelvic organs on dynamic MRI
I Nekooeimehr, S Lai-Yuen, P Bao… - 2016 38th Annual …, 2016 - ieeexplore.ieee.org
Pelvic organ prolapse is a major health problem in women where pelvic floor organs
(bladder, uterus, small bowel, and rectum) fall from their normal position and bulge into the …
(bladder, uterus, small bowel, and rectum) fall from their normal position and bulge into the …
Characterization of surface motion patterns in highly deformable soft tissue organs from dynamic MRI: An application to assess 4D bladder motion
Abstract Background and objectives: Dynamic Magnetic Resonance Imaging (MRI) may
capture temporal anatomical changes in soft tissue organs with high-contrast but the …
capture temporal anatomical changes in soft tissue organs with high-contrast but the …
[PDF][PDF] Characterization of surface motion patterns in highly deformable soft tissue organs from dynamic Magnetic Resonance Imaging
K Makki, A Bohia, AC Ogiera… - arXiv preprint arXiv …, 2020 - researchgate.net
In this work, we present a pipeline for characterization of bladder surface dynamics during
deep respiratory movements from dynamic Magnetic Resonance Imaging (MRI). Dynamic …
deep respiratory movements from dynamic Magnetic Resonance Imaging (MRI). Dynamic …
[PDF][PDF] Suivi dynamique 3D des organes pelviens-résultats préliminaires
Dans le contexte de l'étude des troubles de la statique pelvienne, nous proposons un
processus d'observation temporelle de la vessie en 3D. Grâce à des acquisitions IRM …
processus d'observation temporelle de la vessie en 3D. Grâce à des acquisitions IRM …