Publications

Peer-reviewed Publications:

  1. Brown KG, Hoyt K. Evaluation of Nonlinear Contrast Pulse Sequencing for Use in Super-Resolution Ultrasound Imaging. IEEE Trans Ultrason Ferroelectr Freq Control. 2021 Nov;68(11):3347-3361. PubMed PMID: 34181537.
  2. Brown KG, Waggener SC, Redfern AD, Hoyt K. Faster super-resolution ultrasound imaging with a deep learning model for tissue decluttering and contrast agent localization. Biomedical Physics and Engineering Express. 2021 October 25. Available from: https://doi.org/10.1088/2057-1976/ac2f71
  3. Brown KG, Ghosh D, Hoyt K. Deep Learning of Spatiotemporal Filtering for Fast Super-Resolution Ultrasound Imaging. IEEE Trans Ultrason Ferroelectr Freq Control. 2020 Sep;67(9):1820-1829. PubMed Central PMCID: PMC7523282.
  4. Ghosh D, Peng J, Brown K, Sirsi S, Mineo C, Shaul PW, Hoyt K. Super-Resolution Ultrasound Imaging of Skeletal Muscle Microvascular Dysfunction in an Animal Model of Type 2 Diabetes. J Ultrasound Med. 2019 Oct;38(10):2589-2599. PubMed Central PMCID: PMC6669112.

Conference Papers and Presentations:

  1. Brown, K., & Hoyt, K. (2021, May). Experimental study of the relationship between microbubble size and spatiotemporal pulse sequencing during super-resolution ultrasound imaging. In 2021 IEEE UFFC Latin America Ultrasonics Symposium (LAUS). IEEE (2021)
  2. Yociss, M., Brown, K., & Hoyt, K. (2021, September) Null Subtraction Beamforming for Improved Vessel Resolution in Volumetric Contrast-Enhanced Ultrasound. In 2021 IEEE International Ultrasonics Symposium (IUS). IEEE.
  3. Brown, K., & Hoyt, K. (2020, October). Comparison of pulse sequences used for super-resolution ultrasound imaging with deep learning. In 2020 IEEE International Ultrasonics Symposium (IUS). IEEE.
  4. Brown, K., Scott Chase Waggener, Arthur David Redfern & Hoyt, K. (2020, October). Deep learning implementation of super-resolution ultrasound imaging for tissue decluttering and contrast agent localization. In 2020 IEEE International Ultrasonics Symposium (IUS). IEEE.
  5. Brown, K., & Hoyt, K. (2020, April). Simultaneous Evaluation of Contrast Pulse Sequences for Super-Resolution Ultrasound Imaging in vitro and in vivo update. In 2020 IEEE EMBC 2020.
  6. Brown, K., & Hoyt, K. (2019, October). Deep learning in spatiotemporal filtering for super-resolution ultrasound imaging. In 2019 IEEE International Ultrasonics Symposium (IUS) (pp. 1114-1117). IEEE.
  7. Brown, K., & Hoyt, K. (2019, October). Simultaneous evaluation of contrast pulse sequences for ultrafast contrast-enhanced ultrasound imaging. In 2019 IEEE International Ultrasonics Symposium (IUS) (pp. 1444-1447). IEEE.
  8. Brown, K., Dormer, J., Fei, B., & Hoyt, K. (2019, March). Deep 3D convolutional neural networks for fast super-resolution ultrasound imaging. In Medical Imaging 2019: Ultrasonic Imaging and Tomography (Vol. 10955, p. 1095502). International Society for Optics and Photonics.

Patents:

  1. US TBD Systems and Methods for Real Time Noninvasive Urine Output Assessment- filed Feb. 2022
  2. US 5,899,861 3-dimensional volume by aggregating ultrasound fields of view
  3. US 6,042,556 Method for determining phase advancement of transducer elements in high intensity focused ultrasound
  4. US 6,282,230 Block pseudo-noise generating circuit
  5. US 6,650,694 Correlator co-processor for CDMA RAKE receiver operations
  6. US 6,721,295 Triple data system for high data rate communication systems
  7. US 6,792,031 Method for maintaining timing in a CDMA rake receiver
  8. US 6,834,074 Method of time tracking in a vector correlator based rake receiver