2025
Underlying factors that affect ultrasound conspicuity of breast biopsy markers: An exploratory study
J. Cario, C. U. Lee, M. L. Oelze, “Underlying factors that affect ultrasound conspicuity of breast biopsy markers: An exploratory study,” Translational Breast Cancer Research, 6:2, 1-11, 2025. doi: 10.21037/tbcr-24-48
A. Coila, A. Romero, E.A. Miranda, M. L. Oelze, R. Lavarello, “Nonlinearity parameter estimation method from fundamental band signals in pulse-echo using a dual-energy model,” Journal of the Acoustical Society of America, 157: 1969-1980, 2025. doi.org/10.1121/10.0036215
M. Liu, J. W. Wiskin, G.J. Czarnota, and M. L. Oelze, “Angular spatial compounding of diffraction corrected images improves ultrasound attenuation measurements,” Journal of the Acoustical Society of America, 157(3), 1638-1649, 2025. doi.org/10.1121/10.0036124
Alberico, D., Sannachi, L., Anzola Pena, M.L., Yip, J., Osapoetra, L.O., Halstead, S., DiCenzo, D., Gandhi, S., Wright, F., Oelze, M. and Czarnota, G.J., “Quantitative Ultrasound Texture Analysis of Breast Tumors: A Comparison of a Cart-Based and a Wireless Ultrasound Scanner,” Journal of Imaging, 11(5), p.146, 2025. doi.org/10.3390/jimaging11050146
Migration of deep learning models across ultrasound scanners
Soylu, U., V. Chandrasekeran, , G.J. Czarnota, and M L. Oelze, “Migration of deep learning models across ultrasound scanners.” IEEE Transactions on Biomedical Engineering, 2025.
M Gardner, A Billhymer, R. Kamerer, J. Schmit, T. Park, J. Nguyen-Edquilang, R. Miller, K. A. Selting, M. L. Oelze, “Tumor monitoring and detection of lymph node metastasis using quantitative ultrasound and immune cytokine profiling in dogs undergoing radiation therapy: a pilot study,” arXiv preprint arXiv:2503:19243 (2025).
Label-free Super-Resolution Microvessel Color Flow Imaging with Ultrasound
Kou, Z., Zhang, J., Gong, C., Ji, J., Sekaran, N.V.C., Wang, Z., Miller, R.J., Yang, Y., Llano, D.A., Zhou, Q. and Oelze, M.L., “Label-free Super-Resolution Microvessel Color Flow Imaging with Ultrasound,” arXiv preprint arXiv:2505.21384
Zhao, Y., Kou, Z., Conn, L., Miller, R.J., Czarnota, G.J. and Oelze, M.L., “Toward Real-Time Backscatter Coefficient Estimation Incorporating the U-Net Segmentation and an In Vivo Reference,” Journal Of Ultrasound in Medicine, 2025.
G. Seol, N. Kelhofer, B. Hong, S. Pappu, M. L. Oelze, “Low-Intensity Focused Ultrasound of the Spine in the Treatment of Chronic Pain and Motor Neuron Dysfunction: A Scoping Review,” Frontiers in Pain Research, 1606672, 2025.
Deep Learning-Driven High Spatial Resolution Attenuation Imaging for Ultrasound Tomography (AI-UT)
M. Liu, Z. Kou, J. W. Wiskin, G. J. Czarnota, M. L. Oelze, “Deep Learning-Driven High Spatial Resolution Attenuation Imaging for Ultrasound Tomography (AI-UT),” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 72, 1173-1186, 2025. doi: 10.1109/TUFFC.2025.3592578
Quantitative Volumetric Analysis Using 3D Ultrasound Tomography for Breast Mass Characterization
M.L. Anzola, D. Alberico, J. Yip, J. Wiskin, B. Malik, R. Dinu, B. Curpen, M. L. Oelze, G. J. Czarnota, “Quantitative Volumetric Analysis Using 3D Ultrasound Tomography for Breast Mass Characterization,” Tomography, 11, 13-17, 2025.
M Gardner, A Billhymer, R. Kamerer, J. Schmit, T. Park, J. Nguyen-Edquilang, R. Miller, K. A. Selting, M. L. Oelze, “Tumor monitoring and detection of lymph node metastasis using quantitative ultrasound and immune cytokine profiling in dogs undergoing radiation therapy: a pilot study,” arXiv preprint arXiv:2503:19243 (2025).
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, vol. 43, no. 9, pp. 3060-3071, Sept. 2024, 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
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
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.
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.
Injectable Mechanophore Nanoparticles for Deep-Tissue Mechanochemical Dynamic Therapy
J. Wang, S. Zhao, Y Yi, Y. Sun, M. Agrawal, M.L. Oelze, K. Li, J. S. Moore, Y.S. Chen, “Injectable Mechanophore Nanoparticles for Deep-Tissue Mechanochemical Dynamic Therapy,” in ACS Nano, 2024, doi/10.1021/acsnano.4c04090
High resolution microvessel imaging using novel beamforming techniques and no microbubbles
M. L. Oelze and Z. Kou, “High resolution microvessel imaging using novel beamforming techniques and no microbubbles.” 186th Meeting, Biomedical Acoustics, Lay Language Paper, Acoustical Society of America, 2024
2023
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
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.
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
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.
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
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.
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.
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
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.
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.