Recent News

Patented Technologies Featured in Press

September 26, 2024

H-scan exampleTechnolgies patented by Professor Parker and colleagues have been featured in recent articles in the press. The articles in the University's News Center (here) and DOTmed HealthCare Business News (here) describe the technologies that can help make ultrasound a more powerful tool for diagnosing cancer, liver disease, and other pathologies.

Continue Reading


"Mouse Brain Elastography Changes with Sleep/Wake Cycles, Aging, and Alzheimer's Disease"

July 15, 2024

A manuscript co-authored by Professor Kevin Parker, Institute of Optics colleagues Dr. Gary Ge and Professor Jannick Rolland, and Center for Translational Neuromedicine colleagues Dr. Wei Song, Dr. Michael Giannetto, and Dr. Maiken Nedergaard titled "Mouse brain elastography changes with sleep/wake cycles, aging, and Alzheimer's disease" has been published in NeuroImageThe abstract follows; more information can be found here.

Continue Reading

U.S. Patents Issued

July 10, 2024

Congratulations to Professor Parker and former lab members Dr. Juvenal Ormachea and Dr. Fernando Zvietcovich on the issue of two U.S. patents.

Continue Reading

"Development of a Multiparametric Ultrasound Image using an Integrated System and Method to Assess Hepatic Steatosis"

June 24, 2024

A conference paper co-authored by Professor Kevin Parker and colleagues at Texas A&M University titled "Development of a multiparametric ultrasound image using an integrated system and method to assess hepatic steatosis" has been published in the proceedings of the IEEE UFFC South Asian Ultrasonics Symposium. The abstract follows; more information can be found here.

Continue Reading

"Angular Integration Autocorrelation Approach for Shear Wave Speed Estimation in the Framework of Reverberant Shear Wave Elastography"

June 17, 2024

A conference paper co-authored by Professor Kevin Parker, Institute of Optics colleagues Professor Jannick Rolland and Dr. Hamidreza Asemani, and Biomedical Engineering PhD candidate Gilmer Flores titled "Angular integration autocorrelation approach for shear wave speed estimation in the framework of reverberant shear wave elastography" has been published in the proceedings of the IEEE UFFC Latin America Ultrasonics Symposium. The abstract follows; more information can be found here.

Continue Reading

"Brain Elastography in Aging Relates to Fluid/Solid Trendlines"

May 29, 2024

A manuscript co-authored by Professor Kevin Parker, ECE colleagues Professor Marvin Doyley, Dr. Irteza (Enan) Kabir and Dr. Abrar Faiyaz, Biomedical Engineering PhD candidate Gilmer Flores, and Neurology colleages Dr. Giovanni Schifitto and Dr. Md Nasir Uddin titled "Brain elastography in aging relates to fluid/solid trendlines" has been published in Physics in Medicine and BiologyThe abstract follows; more information can be found here.

Continue Reading


"Angular Integral Autocorrelation for Speed Estimation in Shear-Wave Elastography"

May 9, 2024

A manuscript co-authored by postdoctoral associate Dr. Hamidreza Asemani, former ECE PhD students Dr. Irteza (Enan) Kabir and Dr. Juvenal Ormachea, ECE Professors Kevin Parker and Marvin Doyley, and Optics colleague Professor Jannick Rolland titled "Angular integral autocorrelation for speed estimation in shear-wave elastography" has been published in AcousticsThe abstract follows; more information can be found here.

Continue Reading


Article Receives Recognition for Downloads

March 19, 2024

publication 263 receives recognition as a most downloaded articlesCongratulations to first author Dr. Thomas Marini, Professor Parker, and colleagues on the recognition for their published article tited "Breast ultrasound volume sweep imaging: a new horizon in expanding imaging access for breast cancer detection." Published in the Journal of Ultrasound in Medicine, the article was one of the most downloaded during its first 12 months of publication among work purlished in an issue between 1 January 2022 - 31 December 2022. The article received enough downloads to rank within the top 10% of papers published.

Continue Reading