Title

Costas D. Arvanitis

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Title/Position
Assistant Professor
Contact

Contact

Molecular Science and Engineering Building, Room 4100QGeorgia Tech
404.385.5373
Education

Education

  • BS, Biomedical Engineering Technological Educational Institute of Athens, 2003
  • MS, Medical Physics University of Patras, 2005
  • PhD, Medical Physics and Bioengineering University College London, 2008
Research Interests

Research Interests

Costas Arvanitis’ research program is focused on biomedical acoustics and its overarching goal is the discovery and translation to the clinics of novel therapeutic interventions against human disease. Specific areas of his research include linear and nonlinear acoustics, ultrasound biophysics, microbubble dynamics (acoustic cavitation) and control, image guided therapy, (brain) cancer research, and neuroengineering.

Publications

Publications

S.J. Schoen Jr and C. D. Arvanitis § “Heterogeneous Angular Spectrum Method for Transskull Imaging and Focusing” IEEE Trans. Med. Im. 39 (5), pp 1605-1614, 2020.
C. D. Arvanitis, G. B. Ferraro, and R. K. Jain “The blood–brain barrier and blood–tumor
barrier in brain tumors and metastases” Nature Review Cancer 20, pp 26–41, 2020. Cocorrespondent Author
Y. Guo, H. Lee, Z. Fang, A. Velalopoulou, J. Kim, B. Thomas, T. Kim, A. F. Coskun, D.
P. Krummel, S. Sengupta, T. McDannold, and C. D. Arvanitis § “Single-cell analysis
reveals effective siRNA delivery in brain tumors with microbubble-enhanced ultrasound
and cationic nanoparticles” Science Advances, 7, eabf7390, 2021.
C. Kim, Y. Guo, A. Velalopoulou, J. Leisen, A. Motamarry, K. Ramajayam, M. Aryal, D.
Haemmerich, and C. D. Arvanitis § “Closed-loop trans-skull ultrasound hyperthermia leads
to improved drug delivery from thermosensitive drugs and changes the transvascular
transport dynamics in brain tumors” Theranostics, 11(15):7276-7293, 2021
S. J. Schoen, P. Dash, and C. D. Arvanitis § “Experimental Demonstration of Trans-Skull
Volumetric Passive Acoustic Mapping With the Heterogeneous Angular Spectrum
Approach” IEEE Trans on UFFC, 69, (2), pp 534 – 542, 2022.

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