The AIM Center focuses on research using advanced imaging, artificial intelligence and computational methods to study anatomy, function and disease.
Overview
Advanced imaging research
Our work aims to:
Define typical patterns of development and variation
Track how structure and function change over time
Evaluate outcomes using imaging-based methods
Support surgical teams through imaging-based modeling and 3D printed designs
Core technologies
3D Imaging: Three-dimensional representation of anatomy
4D Motion Analysis: Imaging of movement over time
Artificial Intelligence: Algorithm-based analysis of imaging data
Computational Modeling: Creation of digital and 3D printed models from imaging data
What to Expect
Imaging and modeling technologies
3D surface imaging
We use a multi-camera system to create detailed 3D images of the face and body. Images are captured simultaneously from different angles and combined into a single three-dimensional representation.
The system uses visible light, similar to a standard camera, and does not use radiation. Image capture is fast within a few seconds.
These images can be viewed from any angle and used to observe shape and changes over time.
3D Printing
We create physical models from imaging data, including 3D surface scans and medical images such as CT or MRI.
Because these models are generated from existing data, no additional procedures are required.
These models provide a hands-on representation of anatomy and are used to support visualization, planning and design.
Areas of focus
Craniofacial surgery
Craniosynostosis
We study craniosynostosis by analyzing head shape and structure using 3D imaging.
Our work includes:
Comparing head shape to typical growth patterns
Analyzing how shape changes over time
Developing AI tools for image-based assessment
Cleft lip and palate
We study facial structure and movement in individuals with cleft lip and palate.
Our work includes:
Analyzing facial symmetry at rest and during expression
Using motion capture to study facial movement
Evaluating functional outcomes, including nasal airflow
Congenital ear deformities
We develop AI tools to detect ear deformities early using standard photographs.
This work focuses on providing objective and accessible methods for identifying these conditions.
Dermatology – Morphea
We use 3D imaging to analyze changes in facial shape associated with morphea.
Our work includes:
Tracking changes over time
Comparing imaging findings with clinical assessments
Studying relationships with patient-reported outcomes
Oncology — Osteosarcoma
We use imaging and 3D modeling to study bone tumors.
Our work includes:
Creating patient-specific 3D printed models from MRI data
Improving alignment between imaging and pathology
Supporting detailed analysis of tumor characteristics
Orthodontics – Orthodontic Airway Plate (OAP)
We design patient-specific Orthodontic Airway Plates (OAP), specialized oral devices used in infants with certain craniofacial conditions, to support feeding and airway function.
Our work includes:
creating device designs based on patient anatomy
using imaging data to guide customization
optimizing device fit and function through iterative design
collaborating with clinical teams on device development
Other departmental collaborations
Why this matters
Our research uses imaging and computational methods to better characterize anatomy, function and variation.
This supports a clearer understanding of how anatomy differs between individuals and how it changes over time across a range of conditions.
