Photo file: 
Brooks Lindsey
Full name: 
Brooks Lindsey
Job title: 
Assistant Professor
; Adjunct Assistant Professor (ECE) (ECE Adjunct)
Technical Interest Groups: Bioengineering
Email address: 
Office: 
UA Whitaker 2107

Dr. Brooks Lindsey is an adjunct assistant professor of electrical and computer engineering and an assistant professor in the Coulter Department of Biomedical Engineering. He leads the Ultrasonic Imaging and Instrumentation Lab, where research activities focus on the development of devices, systems, and algorithms for diagnostic imaging and image guidance using ultrasound. Current areas of interest include intravascular and endoscopic imaging and blood flow imaging. Before joining Georgia Tech, Dr. Lindsey completed a B.S. in Electrical and Computer Engineering from the University of Illinois and a Ph.D. in Biomedical Engineering at Duke University before completing postdoctoral work at the University of North Carolina-North Carolina State University.

Research interests: 
  • Ultrasound imaging
  • Ultrasound transducers
  • Image-guided intervention
  • Functional and quantitative imaging
  • Beamforming and array processing
Distinctions: 
  • NIH National Research Service Award, 2015-2017
  • Editor’s Selection of Articles, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2014
  • Highly Cited Articles, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2014, 2015

Kim J, Lindsey BD, Chang WY, Dai X, Stavas J, Dayton PA, Jiang X, “Intravascular forward-looking ultrasound transducers for microbubble-mediated sonothrombolysis,” Scientific Reports, 7(1), 3454, June 2017.

Lindsey BD, Kim J, Dayton PA, and Jiang X, “Dual-Frequency Piezoelectric Endoscopic Transducer for Imaging Vascular Invasion in Pancreatic Cancer,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 64(7), 1078-1086, July 2017.

Lindsey BD, Shelton SE, Foster FS, and Dayton PA, “Assessment of molecular acoustic angiography for combined microvascular and molecular imaging in fibrosarcoma tumors,” Molecular Imaging and Biology, vol. 19, p. 194-202, Apr. 2017.

Last revised November 9, 2018

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