Andy Tseng, PhD

Assistant Professor

Dr. Tseng received his PhD from the College of Optical Sciences, University of Arizona in 2015, and joined as a postdoc in the department of medical imaging. He was promoted to an associate research scientist in 2019. His expertise is in CT physics, system design, system optimization, image reconstruction, and image quality assessment. He has developed compressed-sensing based and deep-learning based reconstruction algorithms for cone-beam CT. He is currently working on the development of dual-energy cone-beam CT for image-guided interventions, and on the development of simultaneous bilateral breast CT system. He has authored 15 peer-reviewed journal publications.

Select Publications

2024

Larsen, T., H. Wu Tseng, R. Trinate, Z. Fu, J-T. Alan Chiang, A. Karellas, and S. Vedantham, "Maximizing microcalcification detectability in low-dose dedicated cone-beam breast CT: parallel cascades-based theoretical analysis.", J Med Imaging (Bellingham), vol. 11, issue 3, pp. 033501, 2024 May. PMCID: PMC11095120 
Fu, Z., H. Wu Tseng, and S. Vedantham, "An attenuation field network for dedicated cone beam breast CT with short scan and offset detector geometry.", Sci Rep, vol. 14, issue 1, pp. 319, 2024 Jan 03. PMCID: PMC10764954  PMID: 38172250

2023

S, V., T. H. W, F. Z, and H-H. S. C, "Dedicated Cone-Beam Breast CT: Reproducibility of Volumetric Glandular Fraction with Advanced Image Reconstruction Methods", Tomography, vol. 9, issue 6, 11/2023.
Vedantham, S., H. Wu Tseng, Z. Fu, and H-H. Sherry Chow, "Dedicated Cone-Beam Breast CT: Reproducibility of Volumetric Glandular Fraction with Advanced Image Reconstruction Methods.", Tomography, vol. 9, issue 6, pp. 2039-2051, 2023 Nov 02. PMCID: PMC10661286  PMID: 37987346

2022

Tseng, H. Wu, A. Karellas, and S. Vedantham, "Cone-beam breast CT using an offset detector: effect of detector offset and image reconstruction algorithm.", Phys Med Biol, vol. 67, issue 8, 2022 Apr 07. PMID: 35316793

2021

Tseng, H., A. Karellas, and S. Vedantham, "Radiation dosimetry of a clinical prototype dedicated cone‐beam breast CT system with offset detector", Medical Physics, 01/2021.

2020

Fu, Z., H. Wu Tseng, S. Vedantham, A. Karellas, and A. Bilgin, "A residual dense network assisted sparse view reconstruction for breast computed tomography.", Sci Rep, vol. 10, issue 1, pp. 21111, 2020 Dec 03. PMCID: PMC7713379  PMID: 33273541
Tseng, H. Wu, A. Karellas, and S. Vedantham, "Sparse-view, short-scan, dedicated cone-beam breast computed tomography: image quality assessment", Biomedical Physics & Engineering Express , vol. 6, issue 6, 09, 2020.
Tseng, H. W., A. Karellas, and S. Vedantham, "Sparse-view, short-scan, dedicated cone-beam breast computed tomography: Image quality assessment.", Biomedical Physics & Engineering Express, vol. 5, 09/ 2020.
Vedantham, S., H-W. Tseng, S. Konate, L. Shi, and A. Karellas, "Dedicated cone-beam breast CT using laterally-shifted detector geometry: Quantitative analysis of feasibility for clinical translation.", J Xray Sci Technol, vol. 28, issue 3, pp. 405-426, 2020. PMCID: PMC7347391  PMID: 32333575
Vedantham, S., H. Wu Tseng, S. Konate, L. Shi, and A. Karellas, "Dedicated cone-beam breast CT using laterally-shifted detector geometry: Quantitative analysis of feasibility for clinical translation", Journal of X-Ray Science and Technology,, 04/2020.
Tseng, H. Wu, S. Vedantham, and A. Karellas, "Cone-beam breast computed tomography using ultra-fast image reconstruction with constrained, total-variation minimization for suppression of artifacts", Physica Medica, vol. 73, 05/2020.
Fu, Z., H. Wu Tseng, S. Vedantham, A. Karellas, and A. Bilgin, "A residual dense network assisted sparse view reconstruction for breast computed tomography", Scientific Reports, vol. 10; 21111, 12/2020.

2019

Tseng, H. W., S. Vedantham, S. H. Cho, and A. Karellas, "Joint optimization of collimator and reconstruction parameters in x-ray fluorescence computed tomography using analytical point spread function and model observer.", IEEE Trans Biomed Eng, 2019 Dec 30. PMID: 31899411