Relationship Between Age and Diagnosis on Volumetric and Linear Velopharyngeal Measures in the Cleft and Noncleft Populations
Examines age and diagnostic differences in three-dimensional and linear measures of velopharyngeal anatomy.
Our work combines clinical imaging, speech assessment, quantitative anatomic analysis, and collaborative technology development to understand how anatomy shapes speech physiology and to improve how treatment decisions are made.
We aim to translate research into clinical tools, share new knowledge with the scientific community, and contribute to the broader conversations that are shaping the future of speech and craniofacial care.
Across our projects, we are working toward connected workflows in which anatomy is measured consistently, function can be tested computationally, treatment options can be evaluated more deliberately, and the resulting information can be communicated in a form that a craniofacial team can actually use.
Measure anatomy consistently with clinical imaging and quantitative analysis.
Explore imagingUse computational models to test function and explore how anatomy shapes speech physiology.
Explore modelingEvaluate treatment options more deliberately using patient-specific information.
Explore treatment planningTranslate the results into clear, clinically useful information for craniofacial teams.
Explore clinical translationMRI, measurement, and pediatric imaging
We use high-resolution MRI to measure the muscles, soft tissues, and airway involved in speech production. We study how anatomy varies with growth, diagnosis, and different surgical interventions and we develop fully awake, child friendly MRI protocols that young children can complete.
Consistent anatomic measurements, reference data, and pediatric imaging protocols.
Examines age and diagnostic differences in three-dimensional and linear measures of velopharyngeal anatomy.
Compares approaches to measuring velar length and the velopharyngeal needs ratio.
Evaluates scan quality and patient selection for fully awake pediatric velopharyngeal MRI.
Examines imaging sequence choice, perceived image quality, and consistency of anatomic measurements.
Speech physiology and computational models
We pair imaging with speech assessment to study how anatomy affects resonance and velopharyngeal function. MRI-informed computational models let us test how muscle activation and anatomic differences impact velopharyngeal function.
Relationships between anatomy and speech outcomes, and novel alternative models for testing velopharyngeal function.
Connects quantitative muscle anatomy with the clinical recommendation for speech surgery.
Uses computational modeling to test how muscle activation changes closure patterns.
Surgical planning and treatment development
We use patient-specific simulations to examine surgical options. With surgeons, engineers, and materials scientists, we are also investigating biomaterial technologies for velopharyngeal dysfunction.
Simulated treatment scenarios and preclinical evaluation of new interventions.
Uses patient-specific simulations to explore how surgical placement and anatomy contribute to different outcomes.
Conference abstract on customized hydrogel augmentation. Link opens the lab bibliography containing the citation.
Automated analysis and clinical tools
We are developing automated image analysis, patient-specific models, and standardized reporting to make research findings usable by craniofacial teams.
Segmentation and measurement tools, clinically useful reports, and practical imaging methods for use across clinical sites.
Although velopharyngeal dysfunction and cleft/craniofacial conditions are central to the lab, many of the methods we develop are applicable across communication and swallowing disorders as well as surgical innovation. Our imaging and analytic approaches increasingly support research and clinical applications across the lifespan in areas including:
We work across speech-language pathology, surgery, biomedical engineering, imaging science, data science, computational modeling, materials science, and related fields. Our research is intentionally interdisciplinary.
These collaborations allow us to approach the same clinical problem from multiple directions, combining patient data, imaging, biomechanics, computation, and technology development to build a more complete understanding of function and treatment response.
Learn more about the team →