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