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• 2017

  Iterative image reconstruction in elastic inhomogenous media with application to transcranial photoacoustic tomography

  Poudel, J., Matthews, T. P., Mitsuhashi, K., Garcia-Uribe, A., Wang, L. V. & Anastasio, M. A., Jan 1 2017, Medical Imaging 2017: Ultrasonic Imaging and Tomography. Duric, N., Duric, N. & Heyde, B. (eds.). SPIE, 101390C. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10139).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Photoacoustic effect
  • Computer-Assisted Image Processing
  • elastic media
  • image reconstruction
  • Image reconstruction
• 2020

  Iterative image reconstruction in transcranial photoacoustic tomography based on the elastic wave equation

  Poudel, J., Na, S., Wang, L. V. & Anastasio, M. A., 2020, In: Physics in medicine and biology. 65, 5, 055009.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Computer-Assisted Image Processing
  • Tomography
  • Pressure
  • Least-Squares Analysis
  • Tissue Distribution
• 2017

  Image reconstruction for ultrasound computed tomography by use of the regularized dual averaging method

  Matthews, T. P., Wang, K., Li, C., Duric, N. & Anastasio, M. A., Jan 1 2017, Medical Imaging 2017: Ultrasonic Imaging and Tomography. Duric, N., Duric, N. & Heyde, B. (eds.). SPIE, 101390P. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10139).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Computer-Assisted Image Processing
  • image reconstruction
  • Image reconstruction
  • Tomography
  • Ultrasonics
• 2021

  Compressible Latent-Space Invertible Networks for Generative Model-Constrained Image Reconstruction

  Kelkar, V. A., Bhadra, S. & Anastasio, M. A., 2021, (Accepted/In press) In: IEEE Transactions on Computational Imaging.

  Research output: Contribution to journal › Article › peer-review

  • Generative Models
  • Image Reconstruction
  • Image reconstruction
  • Invertible
  • Magnetic resonance
• 2017

  Mitigation of artifacts due to isolated acoustic heterogeneities in photoacoustic computed tomography using a variable data truncation-based reconstruction method

  Poudel, J., Matthews, T. P., Li, L., Anastasio, M. A. & Wang, L. V., Apr 1 2017, In: Journal of biomedical optics. 22, 4, 041018.

  Research output: Contribution to journal › Article › peer-review

  • Photoacoustic effect
  • Acoustic properties
  • Tomography
  • artifacts
  • Acoustics
• 2020

  Learning numerical observers using unsupervised domain adaptation

  He, S., Zhou, W., Li, H. & Anastasio, M. A., 2020, Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment. Samuelson, F. W. & Taylor-Phillips, S. (eds.). SPIE, 113160W. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11316).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Deep Learning
  • learning
  • Deep learning
  • Learning
  • Imaging systems
• 2018

  First point-spread function and x-ray phase-contrast imaging results with an 88-mm diameter single crystal

  Lumpkin, A. H., Garson, A. B. & Anastasio, M. A., Jul 1 2018, In: Review of Scientific Instruments. 89, 7, 073704.

  Research output: Contribution to journal › Article › peer-review

  • Optical transfer function
  • Single crystals
  • phase contrast
  • point spread functions
  • Phosphors
• 2017

  Task-based image quality assessment in radiation therapy: Initial characterization and demonstration with CT simulation images

  Dolly, S. R., Anastasio, M. A., Yu, L. & Li, H., Jan 1 2017, Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment. Nishikawa, R. M. & Kupinski, M. A. (eds.). SPIE, 101360Y. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10136).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Radiotherapy
  • radiation therapy
  • Image quality
  • Demonstrations
  • characterization

• Image reconstruction in optoacoustic tomography accounting for frequency-dependent attenuation

  La Rivière, P., Zhang, J. & Anastasio, M. A., Jan 1 2017, Photoacoustic Imaging and Spectroscopy. CRC Press, p. 145-154 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Photoacoustic effect
  • Computer-Assisted Image Processing
  • image reconstruction
  • Image reconstruction
  • Tomography
• 2018

  Convolutional neural network based automatic plaque characterization for intracoronary optical coherence tomography images

  He, S., Zheng, J., Maehara, A., Mintz, G., Tang, D., Anastasio, M. & Li, H., Jan 1 2018, Medical Imaging 2018: Image Processing. Angelini, E. D., Angelini, E. D. & Landman, B. A. (eds.). SPIE, 1057432. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10574).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Optical tomography
  • Optical Coherence Tomography
  • tomography
  • Neural networks
  • characterization
• 2020

  Progressively-Growing AmbientGANs for learning stochastic object models from imaging measurements

  Zhou, W., Bhadra, S., Brooks, F. J., Li, H. & Anastasio, M. A., 2020, Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment. Samuelson, F. W. & Taylor-Phillips, S. (eds.). SPIE, 113160Q. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11316).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • learning
  • Imaging systems
  • Diagnostic Imaging
  • education
  • Imaging techniques
• 2019

  Quantification of image texture in X-ray phase-contrast-enhanced projection images of in vivo mouse lungs observed at varied inflation pressures

  Brooks, F. J., Gunsten, S. P., Vasireddi, S. K., Brody, S. L. & Anastasio, M. A., 2019, In: Physiological Reports. 7, 16, e14208.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Economic Inflation
  • X-Rays
  • Pressure
  • Lung
  • Supervised Machine Learning
• 2017

  A forward-adjoint operator pair based on the elastic wave equation for use in transcranial photoacoustic computed tomography

  Mitsuhashi, K., Poudel, J., Matthews, T. P., Garcia-Uribe, A., Wang, L. V. & Anastasio, M. A., Jan 1 2017, In: SIAM Journal on Imaging Sciences. 10, 4, p. 2022-2048 27 p.

  Research output: Contribution to journal › Article › peer-review

  • Photoacoustic Tomography
  • Photoacoustic effect
  • Computed Tomography
  • Adjoint Operator
  • Elastic waves
• 2020

  Approximating the Ideal Observer for Joint Signal Detection and Localization Tasks by use of Supervised Learning Methods

  Zhou, W., Li, H. & Anastasio, M. A., Dec 2020, In: IEEE transactions on medical imaging. 39, 12, p. 3992-4000 9 p., 9139307.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Psychological Signal Detection
  • Signal detection
  • Supervised learning
  • Markov Chains
  • Learning
• 2017

  Task-based data-acquisition optimization for sparse image reconstruction systems

  Chen, Y., Lou, Y., Kupinski, M. A. & Anastasio, M. A., Jan 1 2017, Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment. Nishikawa, R. M. & Kupinski, M. A. (eds.). SPIE, 101360Z. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10136).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Computer-Assisted Image Processing
  • image reconstruction
  • Image reconstruction
  • hardware
  • data acquisition

• Two step imaging reconstruction using truncated pseudoinverse as a preliminary estimate in ultrasound guided diffuse optical tomography

  Shihab Uddin, K. M., Mostafa, A., Anastasio, M. & Zhu, Q., Dec 1 2017, In: Biomedical Optics Express. 8, 12, p. 5437-5449 13 p., #304054.

  Research output: Contribution to journal › Article › peer-review

  • Optical Tomography
  • tomography
  • estimates
  • estimators
  • lesions
• 2020

  X-ray CT in Phase Contrast Enhancement Geometry of Alginate Microbeads in a Whole-Animal Model

  Brown, J., Somo, S., Brooks, F., Komarov, S., Zhou, W., Anastasio, M. & Brey, E., Mar 1 2020, In: Annals of Biomedical Engineering. 48, 3, p. 1016-1024 9 p.

  Research output: Contribution to journal › Article › peer-review

  • Microbeads
  • Alginate
  • Biomaterials
  • Animals
  • X rays
• 2017

  Joint reconstruction of the sound speed and initial pressure distributions for ultrasound computed tomography and photoacoustic computed tomography

  Matthews, T. P. & Anastasio, M. A., Jan 1 2017, Medical Imaging 2017: Ultrasonic Imaging and Tomography. Duric, N., Duric, N. & Heyde, B. (eds.). SPIE, 101390B. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10139).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Photoacoustic effect
  • pressure distribution
  • Tomography
  • Pressure distribution
  • Ultrasonics
• 2018

  An advanced photoacoustic tomography system based on a ring geometry design

  Alshahrani, S., Yan, Y., Avrutsky, I., Malyarenko, E., Anastasio, M. & Mehrmohammadi, M., Jan 1 2018, Medical Imaging 2018: Ultrasonic Imaging and Tomography. Duric, N. & Byram, B. C. (eds.). SPIE, 1058005. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10580).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Photoacoustic effect
  • breast
  • Tomography
  • Ultrasonics
  • tomography

• Heart motion tracking on cine MRI based on a deep Boltzmann machine-driven level set method

  Wu, J., Ruan, S., Mazur, T. R., Daniel, N., Lashmett, H., Ochoa, L., Zoberi, I., Lian, C., Gach, H. M., Mutic, S., Thomas, M., Anastasio, M. A. & Li, H., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, p. 1153-1156 4 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2018-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Cine Magnetic Resonance Imaging
  • Magnetic resonance imaging
  • Heart
  • Radiation
  • Radiotherapy
• 2019

  Joint-reconstruction-enabled partial-dithering strategy for edge-illumination x-ray phase-contrast tomography

  Chen, Y. & Anastasio, M. A., Mar 1 2019, p. 60.

  Research output: Contribution to conference › Paper › peer-review

  • phase contrast
  • data acquisition
  • tomography
  • illumination
  • spatial resolution

• Learning the ideal observer for joint detection and localization tasks by use of convolutional neural networks

  Zhou, W. & Anastasio, M. A., Mar 4 2019, p. 8.

  Research output: Contribution to conference › Paper › peer-review

  • Signal detection
  • Image quality
  • Neural networks
  • Medical imaging
  • Imaging systems

• Compensation for non-uniform illumination and optical fluence attenuation in three-dimensional optoacoustic tomography of the breast

  Park, S., Oraevsky, A. A., Su, R. & Anastasio, M. A., Mar 8 2019, p. 180.

  Research output: Contribution to conference › Paper › peer-review

  • breast
  • fluence
  • tomography
  • attenuation
  • illumination

• Automatic microscopic cell counting by use of deeply-supervised density regression model

  He, S., Minn, K. T., Solnica-krezel, L., Anastasio, M. & Li, H., Mar 18 2019, p. 19.

  Research output: Contribution to conference › Paper › peer-review

  • Stem cells
  • Neural networks
  • Network performance

• Automatic microscopic cell counting by use of unsupervised adversarial domain adaptation and supervised density regression

  He, S., Minn, K. T., Solnica-krezel, L., Li, H. & Anastasio, M., Mar 18 2019, p. 2.

  Research output: Contribution to conference › Paper › peer-review

  • Supervised learning
  • Stem cells
  • Unsupervised learning

• Analysis of the Use of Unmatched Backward Operators in Iterative Image Reconstruction With Application to Three-Dimensional Optoacoustic Tomography

  Lou, Y., Park, S., Anis, F., Su, R., Oraevsky, A. A. & Anastasio, M. A., Sep 1 2019, In: IEEE Transactions on Computational Imaging. 5, 3, p. 437-449 13 p., 8625498.

  Research output: Contribution to journal › Article › peer-review

  • Photoacoustic effect
  • Image Reconstruction
  • Tomography
  • Image reconstruction
  • Three-dimensional

• Preclinical small animal imaging platform providing co-registered 3D maps of photoacoustic response and fluorescence

  Dumani, D. S., Yu, A., Thompson, W., Brecht, H., Ivanov, V., Anastasio, M. A., Cook, J. R., Ermilov, S. A. & Emelianov, S. Y., Mar 19 2019, p. 181.

  Research output: Contribution to conference › Paper › peer-review

  • animals
  • platforms
  • fluorescence
  • animal models
  • biomarkers