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bioacoustics; iterative image reconstruction
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1405
Biomedical imaging
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acoustic tomography
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Approximation methods
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1610
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1612
Acoustics
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Kravtsiv, A.,
Gao, Y.,
Buehler, A.,
Ntziachristos, V.,
Statistical Molecular Target Detection Framework for Multispectral
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1612
Biology
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JOSA-A(33), No. 12, December 2016, pp. 2333-2347.
DOI Link
1612
Fibers, polarization-maintaining
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Brunker, J.,
Joseph, J.,
Tomaszewski, M.R.,
Morscher, S.,
Bohndiek, S.E.,
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1701
Absorption
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Javaherian, A.,
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A Multi-Grid Iterative Method for Photoacoustic Tomography,
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1703
Absorption
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1704
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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],
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Analysis of Iterative Methods in Photoacoustic Tomography with
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1708
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IEEE DOI
1710
Anatomical structure, photoacoustic imaging,
ultrasonic transducers, ultrasonography
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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
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MedImg(37), No. 6, June 2018, pp. 1382-1393.
IEEE DOI
1806
Computational modeling, Image reconstruction, Machine learning,
Propagation, TV, Tomography,
photoacoustic tomography
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Basarab, A.,
Kouamé, D.,
Vorobyov, S.A.,
An Axially Variant Kernel Imaging Model Applied to Ultrasound Image
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IEEE DOI
1807
biomedical ultrasonics, convolution, deconvolution,
image reconstruction, medical image processing,
ultrasound
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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
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JMIV(62), No. 2, February 2020, pp. 189-205.
Springer DOI
2002
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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
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Morgan, M.R.,
Broder, J.S.,
Dahl, J.J.,
Herickhoff, C.D.,
Versatile Low-Cost Volumetric 3-D Ultrasound Platform for Existing
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MedImg(37), No. 10, October 2018, pp. 2248-2256.
IEEE DOI
1810
Ultrasonic imaging, Probes,
Sensors, Imaging, Image reconstruction,
system design
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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
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
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Lucka, F.,
Huynh, N.,
Betcke, M.,
Zhang, E.,
Beard, P.,
Cox, B.,
Arridge, S.R.,
Enhancing Compressed Sensing 4D Photoacoustic Tomography by
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SIIMS(11), No. 4, 2018, pp. 2224-2253.
DOI Link
1901
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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
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Prakash, J.,
Sanny, D.,
Kalva, S.K.,
Pramanik, M.,
Yalavarthy, P.K.,
Fractional Regularization to Improve Photoacoustic Tomographic Image
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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
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Zhao, H.,
Chen, N.,
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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
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MedImg(38), No. 10, October 2019, pp. 2326-2337.
IEEE DOI
1910
Detectors, Acoustics, Image reconstruction, Noise measurement,
Tomography, Acoustic measurements,
spherical acoustic detectors
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Rathi, N.[Nikita],
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Quantitative tissue characterization using discrete wavelet transform
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Zhang, R.,
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Fast and High-Resolution Three-Dimensional Hybrid-Domain
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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
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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.[Peng],
Li, L.[Lei],
Lin, L.,
Wang, L.H.V.[Li-Hong 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
Hu, P.[Peng],
Li, L.[Lei],
Wang, L.H.V.[Li-Hong V.],
Location-Dependent Spatiotemporal Antialiasing in Photoacoustic
Computed Tomography,
MedImg(42), No. 4, April 2023, pp. 1210-1224.
IEEE DOI
2304
Image reconstruction, Spatiotemporal phenomena, Transducers,
Optical filters, Cutoff frequency, Acoustics, Optical imaging,
location-dependent spatiotemporal antialiasing
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.C.[Ya-Chao],
Wang, L.[Lidai],
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
Zhang, Y.C.[Ya-Chao],
Wang, Y.[Yue],
Lai, P.X.[Pu-Xiang],
Wang, L.[Lidai],
Video-Rate Dual-Modal Wide-Beam Harmonic Ultrasound and Photoacoustic
Computed Tomography,
MedImg(41), No. 3, March 2022, pp. 727-736.
IEEE DOI
2203
Imaging, Transducers, Harmonic analysis, Band-pass filters,
Power harmonic filters, Data acquisition, Synchronization,
wide-beam transmission
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
DiSpirito, A.,
Li, D.,
Vu, T.,
Chen, M.,
Zhang, D.,
Luo, J.,
Horstmeyer, R.,
Yao, J.,
Reconstructing Undersampled Photoacoustic Microscopy Images Using
Deep Learning,
MedImg(40), No. 2, February 2021, pp. 562-570.
IEEE DOI
2102
Deep learning, Image reconstruction, Biomedical optical imaging,
High-speed optical techniques, Optical imaging, undersampled images
BibRef
Zhao, X.B.[Xue-Bin],
Zhou, H.[Hui],
Chen, H.M.[Han-Ming],
Wang, Y.F.[Yu-Feng],
Domain Decomposition for Large-Scale Viscoacoustic Wave Simulation
Using Localized Pseudo-Spectral Method,
GeoRS(59), No. 3, March 2021, pp. 2666-2679.
IEEE DOI
2103
Mathematical model, Laplace equations, Absorption, Media,
Attenuation, Computational modeling, Domain decomposition,
pseudo-spectral method
BibRef
Lunz, S.[Sebastian],
Hauptmann, A.[Andreas],
Tarvainen, T.[Tanja],
Schönlieb, C.B.[Carola-Bibiane],
Arridge, S.[Simon],
On Learned Operator Correction in Inverse Problems,
SIIMS(14), No. 1, 2021, pp. 92-127.
DOI Link
2104
BibRef
Zangerl, G.[Gerhard],
Haltmeier, M.[Markus],
Multiscale Factorization of the Wave Equation with Application to
Compressed Sensing Photoacoustic Tomography,
SIIMS(14), No. 2, 2021, pp. 558-579.
DOI Link
2107
BibRef
Steinberg, I.[Idan],
Kim, J.[Jeesu],
Schneider, M.K.[Martin K.],
Hyun, D.[Dongwoon],
Zlitni, A.[Aimen],
Hopper, S.M.[Sarah M.],
Klap, T.[Tal],
Sonn, G.A.[Geoffrey A.],
Dahl, J.J.[Jeremy J.],
Kim, C.[Chulhong],
Gambhir, S.S.[Sanjiv Sam],
Superiorized Photo-Acoustic Non-NEgative Reconstruction (SPANNER) for
Clinical Photoacoustic Imaging,
MedImg(40), No. 7, July 2021, pp. 1888-1897.
IEEE DOI
2107
Imaging, Image reconstruction, Acoustics, Radiology, Radio frequency,
Optical imaging, Image resolution,
molecular and cellular imaging
BibRef
di Sciacca, G.,
di Sieno, L.,
Farina, A.,
Lanka, P.,
Venturini, E.,
Panizza, P.,
Mora, A.D.[A. Dalla],
Pifferi, A.,
Taroni, P.,
Arridge, S.R.,
Enhanced diffuse optical tomographic reconstruction using concurrent
ultrasound information,
Royal(A: 379), No. 2204, August 2021, pp. 20200195.
DOI Link
2107
BibRef
Özsoy, Ç.[Çagla],
Cossettini, A.[Andrea],
Özbek, A.[Ali],
Vostrikov, S.[Sergei],
Hager, P.[Pascal],
Deán-Ben, X.L.[Xosé Luís],
Benini, L.[Luca],
Razansky, D.[Daniel],
LightSpeed:
A Compact, High-Speed Optical-Link-Based 3D Optoacoustic Imager,
MedImg(40), No. 8, August 2021, pp. 2023-2029.
IEEE DOI
2108
Imaging, Open area test sites, Data acquisition, Diode lasers,
Probes, Image reconstruction,
photoacoustic
BibRef
Alberti, G.S.[Giovanni S.],
Campodonico, P.[Paolo],
Santacesaria, M.[Matteo],
Compressed Sensing Photoacoustic Tomography Reduces to Compressed
Sensing for Undersampled Fourier Measurements,
SIIMS(14), No. 3, 2021, pp. 1039-1077.
DOI Link
2108
BibRef
Amjadian, M.[Mohammadreza],
Mostafavi, S.M.[Seyed Masood],
Chen, J.B.[Jiang-Bo],
Kavehvash, Z.[Zahra],
Zhu, J.Y.[Jing-Yi],
Wang, L.[Lidai],
Super-Resolution Photoacoustic Microscopy Using
Structured-Illumination,
MedImg(40), No. 9, September 2021, pp. 2197-2207.
IEEE DOI
2109
Image resolution, Imaging, Image reconstruction, Microscopy,
Lighting, Focusing, Speckle, Volumetric photoacoustic microscopy,
virtual detector
BibRef
Qi, L.[Li],
Wu, J.[Jian],
Li, X.P.[Xi-Pan],
Zhang, S.Y.[Shuang-Yang],
Huang, S.X.[Shi-Xian],
Feng, Q.J.[Qian-Jin],
Chen, W.F.[Wu-Fan],
Photoacoustic Tomography Image Restoration With Measured Spatially
Variant Point Spread Functions,
MedImg(40), No. 9, September 2021, pp. 2318-2328.
IEEE DOI
2109
Transducers, Imaging, Spatial resolution, Image restoration,
Geometry, Degradation, Tomography, Image restoration,
photoacoustic tomography
BibRef
Yazdani, A.[Amirsaeed],
Agrawal, S.[Sumit],
Johnstonbaugh, K.[Kerrick],
Kothapalli, S.R.[Sri-Rajasekhar],
Monga, V.[Vishal],
Simultaneous Denoising and Localization Network for Photoacoustic
Target Localization,
MedImg(40), No. 9, September 2021, pp. 2367-2379.
IEEE DOI
2109
Feature extraction, Location awareness, Radio frequency, Decoding,
Optical scattering, Training, Optical imaging, Deep learning,
target localization
BibRef
Cheng, Z.W.[Zhong-Wen],
Wu, L.[Linghua],
Qiu, T.[Tengsen],
Duan, Y.H.[Yi-Hao],
Qin, H.[Huan],
Hu, J.[Jun],
Yang, S.[Sihua],
An Excitation-Reception Collinear Probe for Ultrasonic,
Photoacoustic, and Thermoacoustic Tri-Modal Volumetric Imaging,
MedImg(40), No. 12, December 2021, pp. 3498-3506.
IEEE DOI
2112
Imaging, Probes, Microwave imaging, Mirrors, Laser beams, Masers,
Laser excitation, Thermoacoustic, photoacoustic, ultrasound,
tomography
BibRef
Hacker, L.[Lina],
Joseph, J.[James],
Ivory, A.M.[Aoife M.],
Saed, M.O.[Mohand O.],
Zeqiri, B.[Bajram],
Rajagopal, S.[Srinath],
Bohndiek, S.E.[Sarah E.],
A Copolymer-in-Oil Tissue-Mimicking Material With Tuneable Acoustic
and Optical Characteristics for Photoacoustic Imaging Phantoms,
MedImg(40), No. 12, December 2021, pp. 3593-3603.
IEEE DOI
2112
Acoustics, Phantoms, Biomedical optical imaging,
Optical scattering, Optical attenuators,
standardization
BibRef
Mustafa, Q.[Qutaiba],
Omar, M.[Murad],
Prade, L.[Ludwig],
Mohajerani, P.[Pouyan],
Stylogiannis, A.[Antonios],
Ntziachristos, V.[Vasilis],
Zakian, C.[Christian],
In Vivo Three-Dimensional Raster Scan Optoacoustic Mesoscopy Using
Frequency Domain Inversion,
MedImg(40), No. 12, December 2021, pp. 3349-3357.
IEEE DOI
2112
Image reconstruction, Time-domain analysis,
Frequency-domain analysis, Imaging, Mathematical model, Detectors, mesoscopy
BibRef
Shukla, K.[Khemraj],
Jagtap, A.D.[Ameya D.],
Blackshire, J.L.[James L.],
Sparkman, D.[Daniel],
Karniadakis, G.E.[George Em],
A Physics-Informed Neural Network for Quantifying the Microstructural
Properties of Polycrystalline Nickel Using Ultrasound Data:
A promising approach for solving inverse problems,
SPMag(39), No. 1, January 2022, pp. 68-77.
IEEE DOI
2201
Ultrasonic imaging, Inverse problems,
Ultrasonic variables measurement, Neural networks,
Acoustics
BibRef
Robin, J.[Justine],
Özbek, A.[Ali],
Reiss, M.[Michael],
Dean-Ben, X.L.[Xosé Luis],
Razansky, D.[Daniel],
Dual-Mode Volumetric Optoacoustic and Contrast Enhanced Ultrasound
Imaging With Spherical Matrix Arrays,
MedImg(41), No. 4, April 2022, pp. 846-856.
IEEE DOI
2204
Imaging, Transducers, Mice, Image reconstruction, Ultrasonic imaging,
Tomography, Phantoms, Contrast enhanced ultrasound,
optoacoustic tomography
BibRef
Wang, Z.Y.[Zhuo-Ying],
Zhou, Y.F.[Yi-Feng],
Hu, S.[Song],
Sparse Coding-Enabled Low-Fluence Multi-Parametric Photoacoustic
Microscopy,
MedImg(41), No. 4, April 2022, pp. 805-814.
IEEE DOI
2204
Noise reduction, Dictionaries, Laser noise, Laser beams,
Sparse matrices, Measurement by laser beam, Image coding, denoising
BibRef
Zhang, S.Y.[Shuang-Yang],
Qi, L.[Li],
Li, X.[Xipan],
Liang, Z.C.[Zhi-Chao],
Sun, X.D.[Xiang-Dong],
Liu, J.M.[Jia-Ming],
Lu, L.J.[Li-Jun],
Feng, Y.Q.[Yan-Qiu],
Chen, W.F.[Wu-Fan],
MRI Information-Based Correction and Restoration of Photoacoustic
Tomography,
MedImg(41), No. 9, September 2022, pp. 2543-2555.
IEEE DOI
2209
Magnetic resonance imaging, Absorption, Image segmentation,
Optical imaging, Image restoration, Biomedical optical imaging,
light fluence
BibRef
Özbek, A.[Ali],
Deán-Ben, X.L.[Xosé Luís],
Razansky, D.[Daniel],
Universal Real-Time Adaptive Signal Compression for High-Frame-Rate
Optoacoustic Tomography,
MedImg(41), No. 10, October 2022, pp. 2903-2911.
IEEE DOI
2210
Image coding, Open area test sites, Image reconstruction, Indexes,
Data compression, Wavelet packets, Thresholding (Imaging),
optoacoustic imaging
BibRef
Dehner, C.[Christoph],
Olefir, I.[Ivan],
Chowdhury, K.B.[Kaushik Basak],
Jüstel, D.[Dominik],
Ntziachristos, V.[Vasilis],
Deep-Learning-Based Electrical Noise Removal Enables High Spectral
Optoacoustic Contrast in Deep Tissue,
MedImg(41), No. 11, November 2022, pp. 3182-3193.
IEEE DOI
2211
Noise reduction, Thermal noise, Tomography, Deep learning,
Neural networks, Image reconstruction, Absorption, Breast cancer, sinogram
BibRef
Longo, A.[Antonia],
Jüstel, D.[Dominik],
Ntziachristos, V.[Vasilis],
Disentangling the Frequency Content in Optoacoustics,
MedImg(41), No. 11, November 2022, pp. 3373-3384.
IEEE DOI
2211
Image reconstruction, Broadband communication,
Mathematical models, Acoustics, Optical imaging, Adaptive optics,
image quality improvement
BibRef
Amjadian, M.[Mohammadreza],
Mostafavi, S.M.[Seyed Masood],
Chen, J.B.[Jiang-Bo],
Wang, L.[Lidai],
Luo, Z.T.[Zheng-Tang],
Super-Resolution Photoacoustic Microscopy via Modified Phase
Compounding,
MedImg(41), No. 11, November 2022, pp. 3411-3420.
IEEE DOI
2211
Image resolution, Imaging, Signal resolution, Diffraction,
Acoustic beams, Spatial resolution, Optical diffraction,
volumetric photoacoustic microscopy
BibRef
Lambert, W.[William],
Robin, J.[Justine],
Cobus, L.A.[Laura A.],
Fink, M.[Mathias],
Aubry, A.[Alexandre],
Ultrasound Matrix Imaging: Part I: The Focused Reflection Matrix, the
F-Factor and the Role of Multiple Scattering,
MedImg(41), No. 12, December 2022, pp. 3907-3920.
IEEE DOI
2212
Scattering, Focusing, Ultrasonic imaging, Imaging, Transducers,
Reflection, Coherence, Ultrasound matrix imaging, aberration, coherence factor
BibRef
Lambert, W.[William],
Cobus, L.A.[Laura A.],
Robin, J.[Justine],
Fink, M.[Mathias],
Aubry, A.[Alexandre],
Ultrasound Matrix Imaging: Part II: The Distortion Matrix for
Aberration Correction Over Multiple Isoplanatic Patches,
MedImg(41), No. 12, December 2022, pp. 3921-3938.
IEEE DOI
2212
Ultrasonic imaging, Focusing, Imaging, Transducers, Distortion,
Acoustics, Reflection, Ultrasound matrix imaging, computational ultrasound
BibRef
Zhang, Z.Y.[Zheng-Yuan],
Jin, H.R.[Hao-Ran],
Zheng, Z.[Zesheng],
Sharma, A.[Arunima],
Wang, L.[Lipo],
Pramanik, M.[Manojit],
Zheng, Y.[Yuanjin],
Deep and Domain Transfer Learning Aided Photoacoustic Microscopy:
Acoustic Resolution to Optical Resolution,
MedImg(41), No. 12, December 2022, pp. 3636-3648.
IEEE DOI
2212
Imaging, Image resolution, Transducers, Kernel, In vivo, Training,
Optical scattering, Acoustic resolution, deep learning,
photoacoustic imaging
BibRef
Zhou, Y.F.[Yi-Feng],
Sun, N.[Naidi],
Hu, S.[Song],
Deep Learning-Powered Bessel-Beam Multiparametric Photoacoustic
Microscopy,
MedImg(41), No. 12, December 2022, pp. 3544-3551.
IEEE DOI
2212
Laser beams, Imaging, Microscopy, Surface emitting lasers,
Laser excitation, Optical wavelength conversion, Mice, Bessel beam,
multiparametric photoacoustic microscopy
BibRef
Zheng, S.[Sun],
Jiejie, D.[Du],
Yue, Y.[Yao],
Qi, M.[Meng],
Huifeng, S.[Sun],
A Deep Learning Method for Motion Artifact Correction in
Intravascular Photoacoustic Image Sequence,
MedImg(42), No. 1, January 2023, pp. 66-78.
IEEE DOI
2301
Generative adversarial networks, Image reconstruction,
Generators, Tomography, Dynamics, Transformers, Software, deep learning
BibRef
Sahlstrom, T.[Teemu],
Tarvainen, T.[Tanja],
Utilizing Variational Autoencoders in the Bayesian Inverse Problem of
Photoacoustic Tomography,
SIIMS(16), No. 1, 2023, pp. 89-110.
DOI Link
2301
BibRef
He, D.[Da],
Zhou, J.S.[Jia-Sheng],
Shang, X.Y.[Xiao-Yu],
Tang, X.Y.[Xing-Ye],
Luo, J.J.[Jia-Jia],
Chen, S.L.[Sung-Liang],
De-Noising of Photoacoustic Microscopy Images by Attentive Generative
Adversarial Network,
MedImg(42), No. 5, May 2023, pp. 1349-1362.
IEEE DOI
2305
Noise reduction, Generators, Noise measurement, Imaging, In vivo,
Convolutional neural networks, Convolution,
deep learning
BibRef
Pan, B.[Bolin],
Betcke, M.M.[Marta M.],
On Learning the Invisible in Photoacoustic Tomography with Flat
Directionally Sensitive Detector,
SIIMS(16), No. 2, 2023, pp. 770-801.
DOI Link
2306
BibRef
Donlon, N.[Niall],
Gaburro, R.[Romina],
Moskow, S.[Shari],
Woods, I.[Isaac],
Stability and Reconstruction of a Special Type of Anisotropic
Conductivity in Magneto-Acoustic Tomography with Magnetic Induction,
SIIMS(16), No. 2, 2023, pp. 614-639.
DOI Link
2306
BibRef
Liu, Q.[Qiang],
Liang, X.[Xiao],
Li, T.T.[Ting-Ting],
Chao, W.[Weian],
Qi, W.Z.[Wei-Zhi],
Jin, T.[Tian],
Gong, Y.[Yubin],
Jiang, H.[Huabei],
Xi, L.[Lei],
Split Ring Resonator Topology Based Microwave Induced Thermoacoustic
Imaging (SRR-MTAI),
MedImg(42), No. 8, August 2023, pp. 2425-2438.
IEEE DOI
2308
Imaging, Topology, Microwave imaging, Magnetic resonance imaging,
Electric fields, Sensitivity, Split ring resonators, Microwave,
imaging contrast
BibRef
Zhu, J.Q.[Jia-Qi],
Huynh, N.[Nam],
Ogunlade, O.[Olumide],
Ansari, R.[Rehman],
Lucka, F.[Felix],
Cox, B.[Ben],
Beard, P.[Paul],
Mitigating the Limited View Problem in Photoacoustic Tomography for a
Planar Detection Geometry by Regularized Iterative Reconstruction,
MedImg(42), No. 9, September 2023, pp. 2603-2615.
IEEE DOI
2310
BibRef
Liao, W.H.[Wei-Hang],
Subpa-Asa, A.[Art],
Asano, Y.[Yuta],
Zheng, Y.Q.[Yin-Qiang],
Kajita, H.[Hiroki],
Imanishi, N.[Nobuaki],
Yagi, T.[Takayuki],
Aiso, S.[Sadakazu],
Kishi, K.[Kazuo],
Sato, I.[Imari],
Reliability-Aware Restoration Framework for 4D Spectral Photoacoustic
Data,
PAMI(45), No. 12, December 2023, pp. 15445-15461.
IEEE DOI
2311
BibRef
Earlier: A1, A2, A4, A10, Only:
4D Hyperspectral Photoacoustic Data Restoration with Reliability
Analysis,
CVPR21(4596-4605)
IEEE DOI
2111
Legged locomotion, Spectroscopy, Correlation,
Reliability, Noise measurement
BibRef
Vu, T.[Tri],
Klippel, P.[Paul],
Canning, A.J.[Aidan J.],
Ma, C.[Chenshuo],
Zhang, H.J.[Hui-Juan],
Kasatkina, L.A.[Ludmila A.],
Tang, Y.Q.[Yu-Qi],
Xia, J.[Jun],
Verkhusha, V.V.[Vladislav V.],
Vo-Dinh, T.[Tuan],
Jing, Y.[Yun],
Yao, J.J.[Jun-Jie],
On the Importance of Low-Frequency Signals in Functional and
Molecular Photoacoustic Computed Tomography,
MedImg(43), No. 2, February 2024, pp. 771-783.
IEEE DOI
2402
Optical imaging, Biomedical optical imaging, Optical filters,
Lighting, Laser excitation, Imaging, Image reconstruction, low-frequency signal
BibRef
Ranjbaran, S.M.[Seyed Mohsen],
Aghamiry, H.S.[Hossein S.],
Gholami, A.[Ali],
Operto, S.[Stéphane],
Avanaki, K.[Kamran],
Quantitative Photoacoustic Tomography Using Iteratively Refined
Wavefield Reconstruction Inversion: A Simulation Study,
MedImg(43), No. 2, February 2024, pp. 874-885.
IEEE DOI
2402
Optical imaging, Biomedical optical imaging, Optical scattering, Acoustics,
Tomography, Optimization, Image reconstruction, speed of sound estimation
BibRef
Gröhl, J.[Janek],
Else, T.R.[Thomas R.],
Hacker, L.[Lina],
Bunce, E.V.[Ellie V.],
Sweeney, P.W.[Paul W.],
Bohndiek, S.E.[Sarah E.],
Moving Beyond Simulation: Data-Driven Quantitative Photoacoustic
Imaging Using Tissue-Mimicking Phantoms,
MedImg(43), No. 3, March 2024, pp. 1214-1224.
IEEE DOI
2403
Phantoms, Optical imaging, Image reconstruction, Training,
Imaging phantoms, Biomedical optical imaging, Adaptive optics,
quantitative imaging
BibRef
Xu, S.J.[Shi-Jie],
Yu, F.Y.[Feng-Yuan],
Zhang, X.F.[Xiao-Fei],
Diao, Y.W.[Yi-Wen],
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DeGiovanni, T.[Trent],
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Imaging with Thermal Noise Induced Currents,
SIIMS(17), No. 2, 2024, pp. 984-1006.
DOI Link
2407
BibRef
Ali, R.[Rehman],
Mitcham, T.M.[Trevor M.],
Brevett, T.[Thurston],
Agudo, Ò.C.[Òscar Calderón],
Martinez, C.D.[Cristina Durán],
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Doyley, M.M.[Marvin M.],
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2-D Slicewise Waveform Inversion of Sound Speed and Acoustic
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MedImg(43), No. 8, August 2024, pp. 2988-3000.
IEEE DOI
2408
Attenuation, Mathematical models, Ultrasonic imaging, Tomography,
Image reconstruction, Acoustics, Frequency-domain analysis, ring array
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Liu, Q.[Qiang],
Chao, W.[Weian],
Wen, R.[Ruyi],
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Optimized Excitation in Microwave-Induced Thermoacoustic Imaging for
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IEEE DOI
2501
Microwave imaging, Microwave theory and techniques, Compounds,
Vectors, Image reconstruction, Phantoms, Specific absorption rate,
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BibRef
Zhang, Z.Y.[Zheng-Yuan],
Pan, Z.Z.[Zuo-Zhou],
Lin, Z.[Zhuoyi],
Sharma, A.[Arunima],
Lin, C.W.[Chia-Wen],
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Zheng, Y.[Yuanjin],
Acoustic Resolution Photoacoustic Microscopy Imaging Enhancement:
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IP(34), 2025, pp. 522-537.
IEEE DOI
2501
Imaging, Image reconstruction, Acoustics, Biomedical imaging,
Optical imaging, Mathematical models, Focusing,
photoacoustic imaging
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.],
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Channel Count Reduction for Plane Wave Ultrasound Through Convolutional
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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
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ICIAR19(II:429-441).
Springer DOI
1909
BibRef
Tagawa, N.,
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Super-Resolution Ultrasound Imaging Based on the Phase of the Carrier
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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 .