Gregory R. Bashford

Gregory R. Bashford

Department of Biological Systems Engineering, University of Nebraska-Lincoln

Affiliated withUniversity of Nebraska-Lincoln

Research Area

Biography

Greg Bashford received a B.S. degree in electrical engineering from the University of Nebraska and a Ph.D. in biomedical engineering from Duke University. After graduation, he worked in industry R&D positions including as an Image Analysis Engineer at Acuson Corporation (Mountain View, CA); Systems Engineer at GE Medical Systems (Milwaukee, WI); and Senior Scientist at LI-COR Biosciences (Lincoln, NE). In 2001, he joined the faculty of the Biological Systems Engineering Department at the University of Nebraska. He currently serves as Professor of Biomedical Engineering and Chair of the Biomedical Engineering Graduate Program. His research interests include methods and applications of blood flow measurement, especially transcranial Doppler for neurological protection, and musculoskeletal health assessment using ultrasound.

JoVE Journal Publications

ArticleTotal : 1
Year
Functional Transcranial Doppler Ultrasound for Monitoring Cerebral Blood Flow
Publication title

Cited by 8

2021

Other Publications

Article
Year
Circular ultrasound compounding by designed matrix weighting.

IEEE transactions on medical imaging| PubMed ID: 16768238

2006
Direct comparison of feature tracking and autocorrelation for velocity estimation.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control| PubMed ID: 17441585

2007
2008
2008
Resolving the lateral component of blood flow velocity based on ultrasound speckle size change with scan direction and speed.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference| PubMed ID: 19963464

2009
Single molecule diffusion coefficient estimation by image analysis of simulated CCD images to aid high-throughput screening.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference| PubMed ID: 19964522

2009
Optimal thresholds of feature tracking for blood velocity and tissue motion estimation.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control| PubMed ID: 20040399

2009
Lateral blood flow velocity estimation based on ultrasound speckle size change with scan velocity.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control| PubMed ID: 21156365

2010
Monitoring cerebral hemodynamics with transcranial Doppler ultrasound during cognitive and exercise testing in adults following unilateral stroke.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference| PubMed ID: 23366386

2012
2013
In vivo lateral blood flow velocity measurement using speckle size estimation.

Ultrasound in medicine & biology| PubMed ID: 24462149

2014
2016
2016
2017
Changes in tendon spatial frequency parameters with loading.

Journal of biomechanics| PubMed ID: 28410739

2017
The Breath-Hold Acceleration Index: A New Method to Evaluate Cerebrovascular Reactivity using Transcranial Doppler.

Journal of neuroimaging : official journal of the American Society of Neuroimaging| PubMed ID: 29566286

2018
Real-Time Cerebral Hemodynamic Response to Tactile Somatosensory Stimulation.

Journal of neuroimaging : official journal of the American Society of Neuroimaging| PubMed ID: 29992676

2018
Most High-Intensity Transient Signals Are Not Associated With Specific Surgical Maneuvers.

World journal for pediatric & congenital heart surgery| PubMed ID: 32645775

2020