Lawrence Staib, PhD

Professor of Diagnostic Radiology, of Biomedical Engineering and of Electrical Engineering

Research Interests

Image Processing, Computer-Assisted

Research Organizations

Diagnostic Radiology: Bioimaging Sciences: Image Processing & Analysis Group

NIMH Research Training Program in Childhood-onset Neuropsychiatric Disorders

Yale Translational Research Imaging Center (Y-TRIC)

Research Summary

Dr. Staib's research centers on techniques for accurate analysis and quantification of medical images. Current medical imaging modalities can reveal rich information about structure and function in three dimensions and in vivo. However, in order to extract measures that are meaningful for scientific or clinical purposes, it is necessary to have quantitative methods of medical image analysis that are robust in the presence of noise, complexity, artifacts, etc.

Dr. Staib is developing methods for the measurement of structure and function from images using geometric models of deformable objects. These boundaries can then be used to measure various geometric features (e.g., curvature, volume, surface area) that may be indicative of disease.

Nonrigid registration between images of different subjects or other nonrigidly related structures is another key problem. Dr. Staib is working on a formulation of match measures and transformations which will enable the determination of an optimal alignment of homologous features. He is also interested in the analysis of diffusion tensor magnetic resonance images and functional magnetic resonance images. Dr. Staib is applying these techniques primarily to the measurement of neuroanatomy and function.

Selected Publications

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