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Image Analysis

SCI’s imaging work addresses fundamental questions in 2D and 3D image processing, including filtering, segmentation, surface reconstruction, and shape analysis. In low-level image processing, this effort has produce new nonparametric methods for modeling image statistics, which have resulted in better algorithms for denoising and reconstruction. Work with particle systems has led to new methods for visualizing and analyzing 3D surfaces. Our work in image processing also includes applications of advanced computing to 3D images, which has resulted in new parallel algorithms and real-time implementations on graphics processing units (GPUs). Application areas include medical image analysis, biological image processing, defense, environmental monitoring, and oil and gas.

Image Analysis Project Sites

Extracting Anatomical Structures

neuroanatomy

The ability to create accurately segmented three dimensional models from imaging devices such as MRI, PET, CT, and others is crucial to the understanding of structural development.


The image shows the result of automatic extraction of anatomical structures from a patient MRI using software developed by the Utah Center for Neuroimage Analysis. Measurements of subcortical brain structures are of specific interest in studying structure-to-function relationship. Research in autism, schizophrenia and Alzheimer’s disease is particularly interested in volumes and shape of hippocampus (green), amygdala (red) and caudate (yellow).