Automatic segmentation and 3D visualization of MR...
Transcript of Automatic segmentation and 3D visualization of MR...
Automatic segmentation and 3D visualization of
MR images of pelvic �oor (Poster Session)
Javier A. SalazarJointly with G. Ambartsoumian, G. Khatri, and P. Zimmern
University of Texas at Arlington
Conference on Modern Challenges in Imaging
August 5-9, 2019
Javier Salazar Processing of MR images of pelvic �oor
Introduction
Figure: A sketch of a synthetic
implant shown relative to organs of
pelvic �oor.
(from "Postoperative Imaging after SurgicalRepair for Pelvic Floor Dysfunction" by G. Khatriet. al., Radiographics 36.4 (2016), pp.1233-1256)
Background:
Pelvic �oor disorders a�ectnearly 1 in 4 women in the US.Most common surgical repairprocedures of pelvic �oor includeplacement of synthetic implants.
Due to surgical complications,these implants may have to beremoved at a later time.However, these implants havepoor visibility in MRI and US.
Goals:
Automatically segment MRimages of important pelvicorgans and implants.
Develop a 3D visualizationpipeline to assist radiologistsand surgeons during surgicalplanning.
Javier Salazar Processing of MR images of pelvic �oor
Illustrations
(a) Sagittal MRI slice with SC meshshown near cyan arrow.
(b) 3D visualization of pelvic �oorstructure created from labeled data.
Javier Salazar Processing of MR images of pelvic �oor