Chi Zhang (Texas A&M University School of Dentistry)
Emet Schneiderman (Texas A&M University School of Dentistry)
Preetam Schramm (Texas A&M University School of Dentistry)
Zohre German (Texas A&M University School of Dentistry)
Ju-Ying Lin (Texas A&M University School of Dentistry)
Project Description
We are initiating a multi-center (led by Dr. Emet Schneiderman) study to understand the impact of maternal obstructive sleep apnea (OSA) and different treatment plans (i.e., mouth appliances) on both pregnant women and fetuses, including fetal craniofacial dysmorphology and growth issues. A large sample size of ultrasound images will be collected. However, the fetuses may have different poses and partial face covered, and the ultrasonographic images have lots of noise. We are interested in using statistical modeling to refine 3D segmentation to diagnose fetal orofacial dysmorphology, reconstruct 3D growth trajectories, explore epigenetic effects of facial growth problems and dysmorphology, predict newborn facial shapes, etc.
Objective
Use statistical shape modeling tools from Slicer and Kitware to refine 3D reconstruct of fetal faces based on ultrasonography.
Approach and Plan
Learn and explore techniques in statistical shape modeling and ultrasound image processing using 3D slicer and other tools developed by Kitware; set up a plan.
Locate sample data for experimenting.
Develop potential collaborations
Progress and Next Steps
Preparing grant application and data collection plans
Draft Status
Ready - team will start page creating immediately
Category
Other
Presenter Location
In-person
Key Investigators
Project Description
We are initiating a multi-center (led by Dr. Emet Schneiderman) study to understand the impact of maternal obstructive sleep apnea (OSA) and different treatment plans (i.e., mouth appliances) on both pregnant women and fetuses, including fetal craniofacial dysmorphology and growth issues. A large sample size of ultrasound images will be collected. However, the fetuses may have different poses and partial face covered, and the ultrasonographic images have lots of noise. We are interested in using statistical modeling to refine 3D segmentation to diagnose fetal orofacial dysmorphology, reconstruct 3D growth trajectories, explore epigenetic effects of facial growth problems and dysmorphology, predict newborn facial shapes, etc.
Objective
Approach and Plan
Progress and Next Steps
Illustrations
No response
Background and References
No response