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Henry Rusinek Ph.D.
Associate Professor
Department of Radiology (RESEARCH)
Modeling and Analysis of Biomedical Systems
Research Summary
The rapid improvement of high-resolution imaging expanded our knowledge of structure and function of the human body. A deeper understanding of normal and diseased states can be achieved through novel images analysis procedures. Our main goal is to develop tools for improved diagnosis by increasing the accuracy and precision of
image-based measurement of anatomical and physiological parameters. Recent examples include: (a) the development of a challenging multi- compartmental model of the kidney based on dynamic MR imaging, (b) image coregistration and precise sub-voxel segmentation that enables us to detect minute changes in brain structure (see Figure), (c) the analysis of image texture based on multi-scale Gaussian derivatives.
image-based measurement of anatomical and physiological parameters. Recent examples include: (a) the development of a challenging multi- compartmental model of the kidney based on dynamic MR imaging, (b) image coregistration and precise sub-voxel segmentation that enables us to detect minute changes in brain structure (see Figure), (c) the analysis of image texture based on multi-scale Gaussian derivatives.
Related Images
Visualization of brain tissue loss through serial MRI. Coronal sections through the hippocampus are shown for three elderly subjects enrolled in a recently completed 6-year study. Baseline image is shown in the left column, the co-registered year-2 follow-up image in the middle column, and the difference image in the right column. The rectangles in the right column indicate the medial temporal region.
Top row: a 72 year old male who remained normal at year-6, annual medial temporal MT atrophy rate (A) = 0.2%.
Second row: a 70 year old female, who remained normal at year-2 but showed a cognitive decline by year-6, A = 0.8%.
Bottom row: a 77 year old male, normal at baseline, who declined to AD by year-2, A = 1.3%.
Top row: a 72 year old male who remained normal at year-6, annual medial temporal MT atrophy rate (A) = 0.2%.
Second row: a 70 year old female, who remained normal at year-2 but showed a cognitive decline by year-6, A = 0.8%.
Bottom row: a 77 year old male, normal at baseline, who declined to AD by year-2, A = 1.3%.
Research Information
Research Interests
Modeling and Analysis of Biomedical Systems
Research Keywords
biomedical modeling, image analysis, instrument design, magnetic resonance imaging
