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Featured researches published by Benjamin M. Ellingson.


American Journal of Neuroradiology | 2008

Diffusion Tensor MR Imaging in Chronic Spinal Cord Injury

Benjamin M. Ellingson; John L. Ulmer; Shekar N. Kurpad; Brian D. Schmit

BACKGROUND AND PURPOSE: Diffusion tensor MR imaging is emerging as an important tool for displaying anatomic changes in the brain after injury or disease but has been less widely applied to disorders of the spinal cord. The aim of this study was to characterize the diffusion properties of the entire human spinal cord in vivo during the chronic stages of spinal cord injury (SCI). These data provide insight into the structural changes that occur as a result of long-term recovery from spinal trauma. MATERIALS AND METHODS: Thirteen neurologically intact subjects and 10 subjects with chronic SCI (>4 years postinjury) were enrolled in this study. A single-shot twice-refocused spin-echo diffusion-weighted echo-planar imaging pulse sequence was used to obtain axial images throughout the entire spinal cord (C1-L1) in <60 minutes. RESULTS: Despite heterogeneity in SCI lesion severity and location, diffusion characteristics of the chronic lesion were significantly elevated compared with those of uninjured controls. Fractional anisotropy was significantly lower at the chronic lesion and appeared dependent on the completeness of the injury. Conversely, mean diffusivity measurements in the upper cervical spinal cord in subjects with SCI were significantly lower than those in controls. These trends suggest that the entire neuraxis may be affected by long-term recovery from spinal trauma. CONCLUSION: These results suggest that diffusion tensor imaging may be useful in the assessment of SCI recovery.


American Journal of Neuroradiology | 2008

Diffusion Tensor MR Imaging of the Neurologically Intact Human Spinal Cord

Benjamin M. Ellingson; John L. Ulmer; Shekar N. Kurpad; Brian D. Schmit

BACKGROUND AND PURPOSE: The aim of this study was to characterize the diffusion properties of the entire human spinal cord in vivo. These data are essential for comparisons to pathologic conditions as well as for comparisons of different pulse sequence design parameters aimed to reduce scan time and more accurately determine diffusion coefficients. MATERIALS AND METHODS: A total of 13 neurologically intact subjects were enrolled in this study. A single-shot, twice-refocused, spin-echo, diffusion-weighted, echo-planar imaging (EPI) pulse sequence was used to obtain axial images throughout the entire spinal cord (C1–L1) in 45 minutes. RESULTS: Diffusion images indicated slight geometric distortions; however, gray and white matter contrast was observed. All measurements varied across the length of the cord. Whole cord diffusion coefficients averaged 0.5–1.3 × 10−3 mm2/s depending on orientation, mean diffusivity (MD) averaged 0.83 ± 0.06 × 10−3 mm2/s, fractional anisotropy (FA) averaged 0.49 ± 0.05, and volume ratio (VR) averaged 0.73 ± 0.05. CONCLUSION: This study provided normative diffusion values for the entire spinal cord for use in comparisons with pathologic conditions as well as improvements in pulse sequence design.


Journal of Magnetic Resonance Imaging | 2008

Ex vivo diffusion tensor imaging and quantitative tractography of the rat spinal cord during long-term recovery from moderate spinal contusion

Benjamin M. Ellingson; Shekar N. Kurpad; Brian D. Schmit

To characterize DTI metric changes throughout the length of the entire spinal cord from the acute through chronic stages of spinal cord injury (SCI).


Annals of Biomedical Engineering | 2008

Morphology and Morphometry of Human Chronic Spinal Cord Injury Using Diffusion Tensor Imaging and Fuzzy Logic

Benjamin M. Ellingson; John L. Ulmer; Brian D. Schmit

Diffusion tensor imaging (DTI) was performed on regions rostral to the injury site in four human subjects with chronic spinal cord injury (SCI) and equivalent regions in four neurologically intact subjects. Apparent diffusion coefficients were measured and compared between subjects. A fuzzy logic tissue classification algorithm was used to segment gray and white matter regions for morphometric analysis, including comparisons of cross-sectional areas of gray and white matter along with frontal and sagittal diameters. Results indicated a general decrease in both longitudinal and transverse diffusivity in the upper cervical segments of subjects with chronic SCI. Further, a decrease in the cross-sectional area of the entire spinal cord was observed in subjects with SCI, consistent with severe atrophy of the spinal cord. These observations have implications in tracking the progression of SCI from the acute to the chronic stages. We conclude that DTI with fuzzy logic tissue classification has potential for monitoring morphological changes in the spinal cord in people with SCI.


Journal of Magnetic Resonance Imaging | 2008

In Vivo Diffusion Tensor Imaging of the Rat Spinal Cord at 9.4T

Benjamin M. Ellingson; Shekar N. Kurpad; Shi-Jiang Li; Brian D. Schmit

To determine differences in diffusion measurements in white matter (WM) and gray matter (GM) regions of the rat cervical, thoracic, and cauda equina spinal cord using in vivo diffusion tensor imaging (DTI) with a 9.4T MR scanner.


Academic Radiology | 2007

Gray and White Matter Delineation in the Human Spinal Cord Using Diffusion Tensor Imaging and Fuzzy Logic

Benjamin M. Ellingson; John L. Ulmer; Brian D. Schmit


Biomedical sciences instrumentation | 2008

Functional correlates of diffusion tensor imaging in spinal cord injury.

Benjamin M. Ellingson; Shekar N. Kurpad; Brian D. Schmit


Archive | 2009

Comparison of cytotoxic and anti-angiogenic treatment responses using functional diffusion maps in FLAIR abnormal regions

Benjamin M. Ellingson; Mark G. Malkin; A. Hoyt; Jennifer Connelly; Devyani P. Bedekar; Shekar N. Kurpad; Kathleen M. Schmainda


Concepts in Magnetic Resonance Part A | 2008

Diffusion tensor magnetic resonance imaging in spinal cord injury

Benjamin M. Ellingson; Brian D. Schmit; John L. Ulmer; Shekar N. Kurpad


Biomedical sciences instrumentation | 2006

A new technique for imaging the human spinal cord in vivo.

Benjamin M. Ellingson; John L. Ulmer; Brian D. Schmit

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Shekar N. Kurpad

Medical College of Wisconsin

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John L. Ulmer

Medical College of Wisconsin

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Jennifer Connelly

Medical College of Wisconsin

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Mark G. Malkin

Medical College of Wisconsin

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Devyani P. Bedekar

Medical College of Wisconsin

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Peter S. LaViolette

Medical College of Wisconsin

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Shi-Jiang Li

Medical College of Wisconsin

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