20.12.1 Photoacoustic Tomography, Ultrasonic, Generation

Ding, L., Deán-Ben, X.L., Burton, N.C., Sobol, R.W., Ntziachristos, V., Razansky, D.,
Constrained Inversion and Spectral Unmixing in Multispectral Optoacoustic Tomography,
MedImg(36), No. 8, August 2017, pp. 1676-1685.
IEEE DOI 1708
Absorption, Biomedical optical imaging, Image reconstruction, Optical imaging, Optical scattering, Tomography, Optoacoustic/photoacoustic tomography, multispectral imaging, non-negative constraint, spectral, unmixing BibRef

Haltmeier, M.[Markus], Nguyen, L.V.[Linh V.],
Analysis of Iterative Methods in Photoacoustic Tomography with Variable Sound Speed,
SIIMS(10), No. 2, 2017, pp. 751-781.
DOI Link 1708
BibRef

Mercep, E., Deán-Ben, X.L., Razansky, D.,
Combined Pulse-Echo Ultrasound and Multispectral Optoacoustic Tomography With a Multi-Segment Detector Array,
MedImg(36), No. 10, October 2017, pp. 2129-2137.
IEEE DOI 1710
Anatomical structure, photoacoustic imaging, ultrasonic transducers, ultrasonography BibRef

Hauptmann, A., Lucka, F., Betcke, M., Huynh, N., Adler, J., Cox, B., Beard, P., Ourselin, S., Arridge, S.R.,
Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography,
MedImg(37), No. 6, June 2018, pp. 1382-1393.
IEEE DOI 1806
Computational modeling, Image reconstruction, Machine learning, Propagation, TV, Tomography, photoacoustic tomography BibRef

Florea, M.I., Basarab, A., Kouamé, D., Vorobyov, S.A.,
An Axially Variant Kernel Imaging Model Applied to Ultrasound Image Reconstruction,
SPLetters(25), No. 7, July 2018, pp. 961-965.
IEEE DOI 1807
biomedical ultrasonics, convolution, deconvolution, image reconstruction, medical image processing, ultrasound BibRef

Roy, S., Borzì, A.,
A New Optimization Approach to Sparse Reconstruction of Log-Conductivity in Acousto-Electric Tomography,
SIIMS(11), No. 2, 2018, pp. 1759-1784.
DOI Link 1807
BibRef

Gupta, M.[Madhu], Mishra, R.K.[Rohit Kumar], Roy, S.[Souvik],
Sparse Reconstruction of Log-Conductivity in Current Density Impedance Tomography,
JMIV(62), No. 2, February 2020, pp. 189-205.
Springer DOI 2002
BibRef

Olefir, I., Tzoumas, S., Yang, H., Ntziachristos, V.,
A Bayesian Approach to Eigenspectra Optoacoustic Tomography,
MedImg(37), No. 9, September 2018, pp. 2070-2079.
IEEE DOI 1809
Optical imaging, Inverse problems, Bayes methods, Biomedical optical imaging, Optical reflection, spectral unmixing BibRef

Morgan, M.R., Broder, J.S., Dahl, J.J., Herickhoff, C.D.,
Versatile Low-Cost Volumetric 3-D Ultrasound Platform for Existing Clinical 2-D Systems,
MedImg(37), No. 10, October 2018, pp. 2248-2256.
IEEE DOI 1810
Ultrasonic imaging, Probes, Sensors, Imaging, Image reconstruction, system design BibRef

Hossain, M.M., Levy, B.E., Thapa, D., Oldenburg, A.L., Gallippi, C.M.,
Blind Source Separation-Based Motion Detector for Imaging Super-Paramagnetic Iron Oxide (SPIO) Particles in Magnetomotive Ultrasound Imaging,
MedImg(37), No. 10, October 2018, pp. 2356-2366.
IEEE DOI 1810
Magnetic resonance imaging, Phantoms, Ultrasonic imaging, Magnetic separation, Blind source separation, nanoparticles BibRef

Tang, S., Sabonghy, E.P., Chaudhry, A., Shajudeen, P.S., Islam, M.T., Kim, N., Cabrera, F.J., Reddy, J.N., Tasciotti, E., Righetti, R.,
A Model-Based Approach to Investigate the Effect of a Long Bone Fracture on Ultrasound Strain Elastography,
MedImg(37), No. 12, December 2018, pp. 2704-2717.
IEEE DOI 1812
Bones, Strain, Solid modeling, Elastography, Biological tissues, Computed tomography, Ultrasonic imaging, Ultrasound, elastography, shear strain BibRef

Nguyen, T.N., Do, M.N., Oelze, M.L.,
Visualization of the Intensity Field of a Focused Ultrasound Source In Situ,
MedImg(38), No. 1, January 2019, pp. 124-133.
IEEE DOI 1901
Acoustic beams, Visualization, Image reconstruction, Medical treatment, Imaging, Ultrasonic imaging, Transducers, bistatic BibRef

Frederick, C., Ren, K., Vallélian, S.,
Image Reconstruction in Quantitative Photoacoustic Tomography with the Simplified P_2 Approximation,
SIIMS(11), No. 4, 2018, pp. 2847-2876.
DOI Link 1901
BibRef

Lucka, F., Huynh, N., Betcke, M., Zhang, E., Beard, P., Cox, B., Arridge, S.R.,
Enhancing Compressed Sensing 4D Photoacoustic Tomography by Simultaneous Motion Estimation,
SIIMS(11), No. 4, 2018, pp. 2224-2253.
DOI Link 1901
BibRef

Naser, M.A., Sampaio, D.R.T., Muñoz, N.M., Wood, C.A., Mitcham, T.M., Stefan, W., Sokolov, K.V., Pavan, T.Z., Avritscher, R., Bouchard, R.R.,
Improved Photoacoustic-Based Oxygen Saturation Estimation With SNR-Regularized Local Fluence Correction,
MedImg(38), No. 2, February 2019, pp. 561-571.
IEEE DOI 1902
Signal to noise ratio, Mathematical model, Optical imaging, Estimation, Finite element analysis, Cancer, Photoacoustic imaging, image reconstruction methods BibRef

Prakash, J., Sanny, D., Kalva, S.K., Pramanik, M., Yalavarthy, P.K.,
Fractional Regularization to Improve Photoacoustic Tomographic Image Reconstruction,
MedImg(38), No. 8, August 2019, pp. 1935-1947.
IEEE DOI 1908
Image reconstruction, Imaging, Acoustics, Standards, TV, Biological tissues, Detectors, Photoacoustic tomography, compressive sensing. BibRef

Haltmeier, M.[Markus], Nguyen, L.V.[Linh V.],
Reconstruction Algorithms for Photoacoustic Tomography in Heterogeneous Damping Media,
JMIV(61), No. 7, September 2019, pp. 1007-1021.
WWW Link. 1908
BibRef

Zhao, H., Chen, N., Li, T., Zhang, J., Lin, R., Gong, X., Song, L., Liu, Z., Liu, C.,
Motion Correction in Optical Resolution Photoacoustic Microscopy,
MedImg(38), No. 9, September 2019, pp. 2139-2150.
IEEE DOI 1909
Imaging, Iris, Image segmentation, Mice, Motion artifacts, Motion segmentation, High resolution imaging, stitching BibRef

Drozdov, G., Levi, A., Rosenthal, A.,
The Impulse Response of Negatively Focused Spherical Ultrasound Detectors and Its Effect on Tomographic Optoacoustic Reconstruction,
MedImg(38), No. 10, October 2019, pp. 2326-2337.
IEEE DOI 1910
Detectors, Acoustics, Image reconstruction, Noise measurement, Tomography, Acoustic measurements, spherical acoustic detectors BibRef

Rathi, N.[Nikita], Sinha, S.[Saugata],
Quantitative tissue characterization using discrete wavelet transform of photoacoustic signals: a feasibility study,
SIViP(13), No. 7, October 2019, pp. 1357-1365.
WWW Link. 1911
BibRef

Jin, H., Zhang, R., Liu, S., Zheng, Y.,
Fast and High-Resolution Three-Dimensional Hybrid-Domain Photoacoustic Imaging Incorporating Analytical-Focused Transducer Beam Amplitude,
MedImg(38), No. 12, December 2019, pp. 2926-2936.
IEEE DOI 1912
Transducers, Image reconstruction, Mathematical model, Acoustics, Imaging, Detectors, Image resolution, inverse problem BibRef

Acosta, S.[Sebastian],
Well-Posedness for Photoacoustic Tomography with Fabry-Perot Sensors,
SIIMS(12), No. 4, 2019, pp. 1669-1685.
DOI Link 1912
BibRef

Boink, Y.E., Manohar, S., Brune, C.,
A Partially-Learned Algorithm for Joint Photo-acoustic Reconstruction and Segmentation,
MedImg(39), No. 1, January 2020, pp. 129-139.
IEEE DOI 2001
Image reconstruction, Image segmentation, Acoustics, Tomography, Iterative methods, Acoustic measurements, Inverse problems, learned iterative reconstruction BibRef

Li, M., Lan, B., Sankin, G., Zhou, Y., Liu, W., Xia, J., Wang, D., Trahey, G., Zhong, P., Yao, J.,
Simultaneous Photoacoustic Imaging and Cavitation Mapping in Shockwave Lithotripsy,
MedImg(39), No. 2, February 2020, pp. 468-477.
IEEE DOI 2002
Phase change materials, Injuries, Ultrasonic imaging, Image reconstruction, Hemorrhaging, Photoacoustic imaging, cavitation detection BibRef

Baik, J.W., Kim, J.Y., Cho, S., Choi, S., Kim, J., Kim, C.,
Super Wide-Field Photoacoustic Microscopy of Animals and Humans In Vivo,
MedImg(39), No. 4, April 2020, pp. 975-984.
IEEE DOI 2004
Micromechanical devices, Mice, Acoustics, Optical imaging, Image resolution, Animal imaging, high-speed imaging, wide-field scanning BibRef

Jin, H., Zhang, R., Liu, S., Zheng, Y.,
Rapid Three-Dimensional Photoacoustic Imaging Reconstruction for Irregularly Layered Heterogeneous Media,
MedImg(39), No. 4, April 2020, pp. 1041-1050.
IEEE DOI 2004
Image reconstruction, Media, Acoustics, Transducers, Mathematical model, Propagation, Imaging, inverse problem BibRef

Yang, F., Chen, Z., Xing, D.,
Single-Cell Photoacoustic Microrheology,
MedImg(39), No. 6, June 2020, pp. 1791-1800.
IEEE DOI 2006
Viscosity, Elasticity, Strain, Laser beams, Cells (biology), Imaging, Biomedical measurement, Photoacoustic, viscoelasticity imaging, biomechanical model BibRef

Ma, X., Peng, C., Yuan, J., Cheng, Q., Xu, G., Wang, X., Carson, P.L.,
Multiple Delay and Sum With Enveloping Beamforming Algorithm for Photoacoustic Imaging,
MedImg(39), No. 6, June 2020, pp. 1812-1821.
IEEE DOI 2006
Image reconstruction, photoacoustic imaging, optimization, beamforming BibRef

Sahlström, T., Pulkkinen, A., Tick, J., Leskinen, J., Tarvainen, T.,
Modeling of Errors Due to Uncertainties in Ultrasound Sensor Locations in Photoacoustic Tomography,
MedImg(39), No. 6, June 2020, pp. 2140-2150.
IEEE DOI 2006
Photoacoustic tomography (PAT), inverse problems, Bayesian methods, error modeling BibRef

Mahurkar, A.G., Seelamantula, C.S.,
Minkowski-Algebra-Based Super-Sparse Array Design for Super-Resolution Ultrasound Imaging,
SPLetters(27), 2020, pp. 1060-1064.
IEEE DOI 2007
Apertures, Array signal processing, Imaging, Image resolution, Signal resolution, Ultrasonic imaging, Arrays, Sparse arrays, ultrasound imaging BibRef

Chen, J., Chen, J., Zhuang, R., Min, H.,
Multi-Operator Minimum Variance Adaptive Beamforming Algorithms Accelerated With GPU,
MedImg(39), No. 9, September 2020, pp. 2941-2953.
IEEE DOI 2009
Array signal processing, Optimization, Imaging, Ultrasonic imaging, Acceleration, Image quality, Graphics processing units, multi-operator optimization BibRef

Leino, A.A., Lunttila, T., Mozumder, M., Pulkkinen, A., Tarvainen, T.,
Perturbation Monte Carlo Method for Quantitative Photoacoustic Tomography,
MedImg(39), No. 10, October 2020, pp. 2985-2995.
IEEE DOI 2010
Optical imaging, Optical scattering, Inverse problems, Biomedical optical imaging, Monte Carlo methods, Absorption, image reconstruction BibRef

Hu, P., Li, L., Lin, L., Wang, L.V.,
Spatiotemporal Antialiasing in Photoacoustic Computed Tomography,
MedImg(39), No. 11, November 2020, pp. 3535-3547.
IEEE DOI 2011
Image reconstruction, Ultrasonic transducers, Spatiotemporal phenomena, Cutoff frequency, temporal filtering BibRef

Li, X., Zhang, S., Wu, J., Huang, S., Feng, Q., Qi, L., Chen, W.,
Multispectral Interlaced Sparse Sampling Photoacoustic Tomography,
MedImg(39), No. 11, November 2020, pp. 3463-3474.
IEEE DOI 2011
Transducers, Image reconstruction, Detectors, Tomography, Absorption, Switches, Sparse sampling, spectral un-mixing BibRef

Kim, M., Jeng, G.S., Pelivanov, I., O'Donnell, M.,
Deep-Learning Image Reconstruction for Real-Time Photoacoustic System,
MedImg(39), No. 11, November 2020, pp. 3379-3390.
IEEE DOI 2011
Image reconstruction, Imaging, Bandwidth, Geometry, Real-time systems, Standards, Delays, Photoacoustic imaging, convolutional neural network BibRef

Zhang, Y., Wang, L.,
Video-Rate Ring-Array Ultrasound and Photoacoustic Tomography,
MedImg(39), No. 12, December 2020, pp. 4369-4375.
IEEE DOI 2012
Image reconstruction, Data acquisition, Tomography, Acoustics, Ultrasonic imaging, Image resolution, Photoacoustic tomography, plane wave BibRef

Aspri, A.[Andrea], Beretta, E.[Elena], Scherzer, O.[Otmar], Muszkieta, M.[Monika],
Asymptotic Expansions for Higher Order Elliptic Equations with an Application to Quantitative Photoacoustic Tomography,
SIIMS(13), No. 4, 2020, pp. 1781-1833.
DOI Link 2012
BibRef

Li, M., Vu, T., Sankin, G., Winship, B., Boydston, K., Terry, R., Zhong, P., Yao, J.,
Internal-Illumination Photoacoustic Tomography Enhanced by a Graded-Scattering Fiber Diffuser,
MedImg(40), No. 1, January 2021, pp. 346-356.
IEEE DOI 2012
Optical fibers, Optical scattering, Optical imaging, Lighting, Biomedical optical imaging, Deep imaging, graded scattering, swine model BibRef

Peng, B., Huang, X., Wang, S., Jiang, J.,
A Real-Time Medical Ultrasound Simulator Based on a Generative Adversarial Network Model,
ICIP19(4629-4633)
IEEE DOI 1910
Ultrasound, Generative Adversarial Network, Ultrasound Simulation, Deep Learning BibRef

Xiao, D.[Di], Yiu, B.Y.S.[Billy Y. S.], Chee, A.J.Y.[Adrian J. Y.], Yu, A.C.H.[Alfred C. H.],
Channel Count Reduction for Plane Wave Ultrasound Through Convolutional Neural Network Interpolation,
ICIAR19(II:442-451).
Springer DOI 1909
BibRef

Ben Daya, I.[Ibrahim], Yeow, J.T.W.[John T. W.], Wong, A.[Alexander],
Compensated Row-Column Ultrasound Imaging Systems with Data-Driven Point Spread Function Learning,
ICIAR19(II:429-441).
Springer DOI 1909
BibRef

Tagawa, N., Zhu, J.,
Super-Resolution Ultrasound Imaging Based on the Phase of the Carrier Wave Without Deterioration by Grating Lobes,
ICPR18(2791-2796)
IEEE DOI 1812
Image resolution, Imaging, Transducers, Gratings, Signal resolution, Ultrasonic imaging, Frequency modulation BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Freehand Ultrasound, Ultrasonic, Generation .

Last update:Jan 17, 2021 at 16:22:28