2024

High-resolution Power Doppler Using Null Subtraction Imaging

Z. Kou, M.R. Lowersion, Q. You, Y. Wang, P. Song, M.L. Oelze, “High-resolution Power Doppler Using Null Subtraction Imaging,” in IEEE Transactions on Medical Imaging, doi: 10.1109/TMI.2024.3383768

A Radiological Clip Design Using Ultrasound Identification to Improve Localization

J. Cario, Z. Kou, R.J. Miller, A. Dickenson, C.U. Lee, M.L. Oelze, in IEEE Transactions on Biomedical Engineering, doi: 10.1109/TBME.2024.3388203

Machine-to-Machine Transfer Function in Deep Learning-Based Quantitative Ultrasound

U. Soylu, M.L. Oelze, “Machine-to-Machine Transfer Function in Deep Learning-Based Quantitative Ultrasound,” in IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, doi: 10.1109/TUFFC.2024.3384815.

Grating lobe mitigation on large-pitch arrays using null subtraction imaging

M. Gardner, R.J. Miller, M.L. Oelze, “Grating lobe mitigation on large-pitch arrays using null subtraction imaging,” in Ultrasonics 140 (2024): 107302. doi:10.1016/j.ultras.2024.107302

In vivo validation of an in situ calibration bead as a reference for backscatter coefficient calculation

Y. Zhao, G.J. Czarnota, T.H. Park, R.J. Miller, M.L. Oelze,  “In vivo validation of an in situ calibration bead as a reference for backscatter coefficient calculation,” in Ultrasound in Medicine & Biology, 2024, doi:10.1016/j.ultrasmedbio.2024.02.005

Spectral-based quantitative ultrasound imaging processing techniques: Comparisons of RF vs. IQ approaches

M. Liu, Z. Kou, Y. Zhao, J. Wiskin, G. Czarnota, M. L. Oelze, “Spectral-based Quantitative Ultrasound Imaging Processing Techniques: Comparisons of RF Versus IQ Approaches,” in Ultrasonic Imaging, 2024, doi:10.1177/01617346231226224.

Towards real-time backscatter coefficient estimation through automatic tumor segmentation

Y. Zhao, Z. Kou, C. Louie, R.J. Miller, G.J. Czarnota, M.L. Oelze, Submitted to Ultrasound Medicine and Biology

Can carbonation depth be measured in a nondestructive way? High-frequency quantitative ultrasound imaging for cement paste

S. Baek, H-K Kim, M.L. Oelze, G. Kim, “Can carbonation depth be measured in a nondestructive way? High-frequency quantitative ultrasound imaging for cement paste,” in Cement and Concrete Research, doi.org/10.1016/j.cemconres.2024.107519.

2023

A priori prediction of breast cancer response to neoadjuvant chemotherapy using quantitative ultrasound, texture derivative and molecular subtype

L. Sannachi, O. O. Laurentius, D. DiCenzo, S. Halstead, F. Wright, N. Look-Hong, E. Slodkowska, S. Gandhi, B. Curpen, M.C. Kolios, M. L. Oelze, C.J. Czarnota “A priori prediction of breast cancer response to neoadjuvant chemotherapy using quantitative ultrasound, texture derivative and molecular subtype,” in Scientific Reports , vol. 173, 22687, 2023, doi: 10.1038/s41598-023-49478-3.

High-level Synthesis Design of Scalable Ultrafast Ultrasound Beamformer with Single FPGA

Z. Kou, Q. You, J. Kim, Z. Dong, M. R. Lowerison, N.V.C. Sekaran, D. A. Llano, P. Song, M. L. Oelze, “High-Level Synthesis Design of Scalable Ultrafast Ultrasound Beamformer With Single FPGA,” in IEEE Transactions on Biomedical Circuits and Systems, vol. 17, no. 3, pp. 446-457, June 2023, doi: 10.1109/TBCAS.2023.3267614.

Detection of Microcalcifications Using Nonlinear Beamforming Techniques

Z. Kou, T. H. Park, R. J. Miller, M. L. Oelze, “Detection of microcalcifications using nonlinear beamforming techniques,” in Ultrasound Medecine and Biology. 2023;49(8):1709-1718. doi:10.1016/j.ultrasmedbio.2023.03.011

Calibrating Data Mismatches in Deep Learning-Based Quantitative Ultrasound Using Setting Transfer Functions

U. Soylu and M. L. Oelze, “Calibrating Data Mismatches in Deep Learning-Based Quantitative Ultrasound Using Setting Transfer Functions,” in IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, doi: 10.1109/TUFFC.2023.3263119.

A Data-Efficient Deep Learning Strategy for Tissue Characterization via Quantitative Ultrasound: Zone Training

U. Soylu and M. L. Oelze, “A Data-Efficient Deep Learning Strategy for Tissue Characterization via Quantitative Ultrasound: Zone Training,” in IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, doi: 10.1109/TUFFC.2023.3245988.

2022

Grating Lobe Reduction in Plane-Wave Imaging With Angular Compounding Using Subtraction of Coherent Signals

Z. Kou, R. J. Miller and M. L. Oelze, “Grating Lobe Reduction in Plane-Wave Imaging With Angular Compounding Using Subtraction of Coherent Signals,” in IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 69, no. 12, pp. 3308-3316, Dec. 2022, doi: 10.1109/TUFFC.2022.3217993.

Ultrasonic backscatter coefficient estimation in nonlinear regime using an in situ calibration target

Andres Coila and Michael L. Oelze , “Ultrasonic backscatter coefficient estimation in nonlinear regime using an in situ calibration target”, The Journal of the Acoustical Society of America 151, 4196-4206 (2022) https://doi.org/10.1121/10.0011743

Identifying and overcoming limitations with in situ calibration beads for quantitative ultrasound

Jenna Cario, Andres Coila, Yuning Zhao, Rita J. Miller, and Michael L. Oelze , “Identifying and overcoming limitations with in situ calibration beads for quantitative ultrasound”, The Journal of the Acoustical Society of America 151, 2701-2711 (2022) https://doi.org/10.1121/10.0010286

Combined Therapy Planning, Real-Time Monitoring, and Low Intensity Focused Ultrasound Treatment Using a Diagnostic Imaging Array

M. Thies and M. L. Oelze, “Combined Therapy Planning, Real-Time Monitoring, and Low Intensity Focused Ultrasound Treatment Using a Diagnostic Imaging Array,” in IEEE Transactions on Medical Imaging, vol. 41, no. 6, pp. 1410-1419, June 2022, doi: 10.1109/TMI.2021.3140176.

Ultrasound controlled mechanophore activation in hydrogels for cancer therapy

G. Kim, Q. Wu, J.L. Chu, E.J. Smith, M.L. Oelze, K.C. Li, J.S. Moore, “Ultrasound controlled mechanophore activation in hydrogels for cancer therapy,” Proceedings of the National Academy of Sciences, 119:1-7, 2022, doi: 10.1073/pnas.2109791119.

Improved Ultrasound Localization Microscopy based on Microbubble Uncoupling via Transmit Excitation (MUTE)

J. Kim, M.R. Lowerison, N.C. Sekaran, Z. Kou, M.L. Oelze, D.A. Llano, P. Song, “Improved Ultrasound Localization Microscopy based on Microbubble Uncoupling via Transmit Excitation (MUTE),” IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 69: 1041-1052, 2022, doi: 10.1109/TUFFC.2022.31438.

Noninvasive and Spatiotemporal Control of DNAzyme-based Metal Ions Imaging in vivo using High Intensity Focused Ultrasound

X. Wang, G. Kim, J.L. Chu, T. Song, Z. Yang, W. Guo, X. Shao, M.L. Oelze, K.C. Li, Y. Lu, “Noninvasive and Spatiotemporal Control of DNAzyme-based Metal Ions Imaging in vivo using High Intensity Focused Ultrasound,” Journal of the American Chemical Society, 144: 5812-5819, 2022, doi: 10.1021/JACS.1c11543.

Effects of acoustic nonlinearity on communication performance in soft tissues

G. Tabak, M. L. Oelze, A. C. Singer, “Effects of acoustic nonlinearity on communication performance in soft tissues,” Journal of the Acoustical Society of America, 152: 3583-3594, 2022, doi: 10.1121/10.0015402.

2021

Total attenuation compensation for backscatter coefficient estimation using full angular spatial compounding

Coila A, Rouyer J, Zenteno O, Luchies A, Oelze ML, Lavarello R. Total attenuation compensation for backscatter coefficient estimation using full angular spatial compounding. Ultrasonics. 2021 Jul;114:106376. doi: 10.1016/j.ultras.2021.106376. Epub 2021 Jan 27. PMID: 33578199; PMCID: PMC8985702.

High Data Rate Communications In Vivo Using Ultrasound

Z. Kou, R. J. Miller, A. C. Singer and M. L. Oelze, “High Data Rate Communications In Vivo Using Ultrasound,” in IEEE Transactions on Biomedical Engineering, vol. 68, no. 11, pp. 3308-3316, Nov. 2021, doi: 10.1109/TBME.2021.3070477.

Use of a convolutional neural network and quantitative ultrasound for diagnosis of fatty liver

Nguyen TN, Podkowa AS, Park TH, Miller RJ, Do MN, Oelze ML. Use of a convolutional neural network and quantitative ultrasound for diagnosis of fatty liver. Ultrasound Med Biol. 2021 Mar;47(3):556-568. doi: 10.1016/j.ultrasmedbio.2020.10.025. Epub 2020 Dec 25. PMID: 33358553; PMCID: PMC7828572.

Real-Time Visualization of a Focused Ultrasound Beam Using Ultrasonic Backscatter

M. Thies and M. L. Oelze, “Real-Time Visualization of a Focused Ultrasound Beam Using Ultrasonic Backscatter,” in IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 68, no. 4, pp. 1213-1223, April 2021, doi: 10.1109/TUFFC.2020.3035784.

Video-Capable Ultrasonic Wireless Communications through Biological Tissues

G. Tabak, Y. Sijung, R.J. Miller, M. L. Oelze, A. C. Singer, “Video-Capable Ultrasonic Wireless Communications through Biological Tissues,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 68, 664-674, 2021, doi: 10.1109/TUFFC.2020.30207.