21.12.1 Photoacoustic Tomography, Ultrasonic, Generation

Chapter Contents (Back)
Ultrasound. Optoacoustic Tomography. Photoacoustic Tomography.

Kaveh, M., Mueller, R.K., Iverson, R.D.,
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IEEE DOI 0402
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Xu, M.H.[Ming-Hua], Wang, L.V.,
Time-domain reconstruction for thermoacoustic tomography in a spherical geometry,
MedImg(21), No. 7, July 2002, pp. 814-822.
IEEE Top Reference. 0210
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Xu, Y.[Yuan], Feng, D.[Dazi], Wang, L.V.,
Exact frequency-domain reconstruction for thermoacoustic tomography-I: planar geometry,
MedImg(21), No. 7, July 2002, pp. 823-828.
IEEE Top Reference. 0210
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Xu, Y.[Yuan], Xu, M.H.[Ming-Hua], Wang, L.V.,
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MedImg(21), No. 7, July 2002, pp. 829-833.
IEEE Top Reference. 0210
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Bronstein, M.M., Bronstein, A.M., Zibulevsky, M., Azhari, H.,
Reconstruction in diffraction ultrasound tomography using nonuniform FFT,
MedImg(21), No. 11, November 2002, pp. 1395-1401.
IEEE Top Reference. 0301
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Anastasio, M.A., Zhang, J., Pan, X., Zou, Y., Ku, G., Wang, L.V.,
Half-Time Image Reconstruction in Thermoacoustic Tomography,
MedImg(24), No. 2, February 2005, pp. 199-210.
IEEE Abstract. 0501
BibRef

Zhang, J., Anastasio, M.A., Pan, X., Wang, L.V.,
Weighted Expectation Maximization Reconstruction Algorithms for Thermoacoustic Tomography,
MedImg(24), No. 6, June 2005, pp. 817-820.
IEEE Abstract. 0506
BibRef

Zhang, J., Anastasio, M.A.[Mark A.], La Riviere, P.J., Wang, L.V.,
Effects of Different Imaging Models on Least-Squares Image Reconstruction Accuracy in Photoacoustic Tomography,
MedImg(28), No. 11, November 2009, pp. 1781-1790.
IEEE DOI 0911
BibRef

Mitsuhashi, K.[Kenji], Poudel, J.[Joemini], Matthews, T.P.[Thomas P.], Garcia-Uribe, A.[Alejandro], Wang, L.H.V.[Li-Hong V.], Anastasio, M.A.[Mark A.],
A Forward-Adjoint Operator Pair Based on the Elastic Wave Equation for Use in Transcranial Photoacoustic Computed Tomography,
SIIMS(10), No. 4, 2017, pp. 2022-2048.
DOI Link 1801
BibRef

Matthews, T.P.[Thomas P.], Poudel, J.[Joemini], Li, L., Wang, L.H.V.[Li-Hong V.], Anastasio, M.A.[Mark A.],
Parameterized Joint Reconstruction of the Initial Pressure and Sound Speed Distributions for Photoacoustic Computed Tomography,
SIIMS(11), No. 2, 2018, pp. 1560-1588.
DOI Link 1807
BibRef

Schoonover, R.W.[Robert W.], Anastasio, M.A.[Mark A.],
Image reconstruction in photoacoustic tomography involving layered acoustic media,
JOSA-A(28), No. 6, June 2011, pp. 1114–1120.
WWW Link. 1101
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Jeong, J.W., Kim, T.S., Shin, D.C., Do, S., Singh, M., Marmarelis, V.Z.,
Soft Tissue Differentiation Using Multiband Signatures of High Resolution Ultrasonic Transmission Tomography,
MedImg(24), No. 3, March 2005, pp. 399-408.
IEEE Abstract. 0501
BibRef

Jeong, J.W., Shin, D.C., Do, S., Marmarelis, V.Z.,
Segmentation Methodology for Automated Classification and Differentiation of Soft Tissues in Multiband Images of High-Resolution Ultrasonic Transmission Tomography,
MedImg(25), No. 8, August 2006, pp. 1068-1078.
IEEE DOI 0608
BibRef

Jeong, J.W.[Jeong-Won], Shin, D.C.[Dae C.], Marmarelis, V.Z.[Vasilis Z.],
Image fusion methodology for efficient interpretation of multiband images in 3D high-resolution ultrasonic transmission tomography,
IJIST(19), No. 4, December 2009, pp. 277-282.
DOI Link 0912
BibRef

Provost, J., Lesage, F.,
The Application of Compressed Sensing for Photo-Acoustic Tomography,
MedImg(28), No. 4, April 2009, pp. 585-594.
IEEE DOI 0904
BibRef

Xia, R.M.[Rong-Min], Li, X.[Xu], He, B.[Bin],
Reconstruction of Vectorial Acoustic Sources in Time-Domain Tomography,
MedImg(28), No. 5, May 2009, pp. 669-675.
IEEE DOI 0905
BibRef

Naetar, W., Scherzer, O.,
Quantitative Photoacoustic Tomography with Piecewise Constant Material Parameters,
SIIMS(7), No. 3, 2014, pp. 1755-1774.
DOI Link 1410
BibRef

Rosenthal, A., Razansky, D., Ntziachristos, V.,
Fast Semi-Analytical Model-Based Acoustic Inversion for Quantitative Optoacoustic Tomography,
MedImg(29), No. 6, June 2010, pp. 1275-1285.
IEEE DOI 1007
BibRef

Ding, L., Deán-Ben, X.L., Razansky, D.,
Real-Time Model-Based Inversion in Cross-Sectional Optoacoustic Tomography,
MedImg(35), No. 8, August 2016, pp. 1883-1891.
IEEE DOI 1608
Absorption BibRef

Dean-Ben, X.L., Buehler, A., Ntziachristos, V., Razansky, D.,
Accurate Model-Based Reconstruction Algorithm for Three-Dimensional Optoacoustic Tomography,
MedImg(31), No. 10, October 2012, pp. 1922-1928.
IEEE DOI 1210
BibRef

Ding, L., Razansky, D., Deán-Ben, X.L.,
Model-Based Reconstruction of Large Three-Dimensional Optoacoustic Datasets,
MedImg(39), No. 9, September 2020, pp. 2931-2940.
IEEE DOI 2009
Image reconstruction, Computational modeling, Solid modeling, Imaging, Interpolation, Transducers, large datasets BibRef

Dean-Ben, X.L., Ozbek, A., Razansky, D.,
Volumetric Real-Time Tracking of Peripheral Human Vasculature With GPU-Accelerated Three-Dimensional Optoacoustic Tomography,
MedImg(32), No. 11, 2013, pp. 2050-2055.
IEEE DOI 1312
acoustic tomography BibRef

Li, X.[Xu], He, B.[Bin],
Multi-excitation Magnetoacoustic Tomography With Magnetic Induction for Bioimpedance Imaging,
MedImg(29), No. 10, October 2010, pp. 1759-1767.
IEEE DOI 1011
BibRef

Mariappan, L., He, B.,
Magnetoacoustic Tomography With Magnetic Induction: Bioimepedance Reconstruction Through Vector Source Imaging,
MedImg(32), No. 3, March 2013, pp. 619-627.
IEEE DOI 1303
BibRef

Yu, K., Shao, Q., Ashkenazi, S., Bischof, J.C., He, B.,
In Vivo Electrical Conductivity Contrast Imaging in a Mouse Model of Cancer Using High-Frequency Magnetoacoustic Tomography With Magnetic Induction (hfMAT-MI),
MedImg(35), No. 10, October 2016, pp. 2301-2311.
IEEE DOI 1610
Conductivity BibRef

Wang, K., Ermilov, S.A., Su, R., Brecht, H.P., Oraevsky, A.A., Anastasio, M.A.,
An Imaging Model Incorporating Ultrasonic Transducer Properties for Three-Dimensional Optoacoustic Tomography,
MedImg(30), No. 2, February 2011, pp. 203-214.
IEEE DOI 1102
BibRef

Wang, K., Schoonover, R.W., Su, R., Oraevsky, A.A., Anastasio, M.A.,
Discrete Imaging Models for Three-Dimensional Optoacoustic Tomography Using Radially Symmetric Expansion Functions,
MedImg(33), No. 5, May 2014, pp. 1180-1193.
IEEE DOI 1405
Computational modeling BibRef

Qian, J.L.[Jian-Liang], Stefanov, P.[Plamen], Uhlmann, G.[Gunther], Zhao, H.K.[Hong-Kai],
An Efficient Neumann Series-Based Algorithm for Thermoacoustic and Photoacoustic Tomography with Variable Sound Speed,
SIIMS(4), No. 3, 2011, pp. 850-883.
WWW Link. 1110
BibRef

Zhang, P.Z.[Pei-Zhen], Wang, S.Z.[Shuo-Zhong], Wang, R.T.[Run-Tian],
Reducing frequency-domain artifacts of binary image due to coarse sampling by repeated interpolation and smoothing of Radon projections,
JVCIR(23), No. 5, July 2012, pp. 697-704.
Elsevier DOI 1205
Discrete Radon transform; Radon projection; Fourier slice theorem; Polar coordinate interpolation; Low-pass filtering; Fourier diffraction theorem; Acoustic tomography; Interpolation-smoothing-decimation BibRef

Dong, C., Jin, Y.,
MIMO Nonlinear Ultrasonic Tomography by Propagation and Backpropagation Method,
IP(22), No. 3, March 2013, pp. 1056-1069.
IEEE DOI 1302
BibRef

Liu, Z., Liu, L., Xu, Y., Wang, L.V.,
Transcranial Thermoacoustic Tomography: A Comparison of Two Imaging Algorithms,
MedImg(32), No. 2, February 2013, pp. 289-294.
IEEE DOI 1301
BibRef

Ren, K.[Kui], Gao, H.[Hao], Zhao, H.K.[Hong-Kai],
A Hybrid Reconstruction Method for Quantitative PAT,
SIIMS(6), No. 1, 2013, pp. 32-55.
DOI Link 1304
photoacoustic tomography. BibRef

Ren, K.[Kui], Zhao, H.K.[Hong-Kai],
Quantitative Fluorescence Photoacoustic Tomography,
SIIMS(6), No. 4, 2013, pp. 2404-2429.
DOI Link 1402
BibRef

Huang, C.[Chao], Wang, K.[Kun], Nie, L.M.[Li-Ming], Wang, L.V., Anastasio, M.A.,
Full-Wave Iterative Image Reconstruction in Photoacoustic Tomography With Acoustically Inhomogeneous Media,
MedImg(32), No. 6, 2013, pp. 1097-1110.
IEEE DOI 1307
bioacoustics; iterative image reconstruction BibRef

Jeon, M., Kim, C.,
Multimodal Photoacoustic Tomography,
MultMed(15), No. 5, 2013, pp. 975-982.
IEEE DOI 1307
Absorption BibRef

Choe, J.W.[Jung Woo], Nikoozadeh, A., Oralkan, O., Khuri-Yakub, B.T.,
GPU-Based Real-Time Volumetric Ultrasound Image Reconstruction for a Ring Array,
MedImg(32), No. 7, 2013, pp. 1258-1264.
IEEE DOI 1307
Hadamard codes BibRef

Tarvainen, T., Pulkkinen, A., Cox, B.T., Kaipio, J.P., Arridge, S.R.,
Bayesian Image Reconstruction in Quantitative Photoacoustic Tomography,
MedImg(32), No. 12, 2013, pp. 2287-2298.
IEEE DOI 1312
Acoustics BibRef

Pulkkinen, A., Cox, B.T., Arridge, S.R., Goh, H., Kaipio, J.P., Tarvainen, T.,
Direct Estimation of Optical Parameters From Photoacoustic Time Series in Quantitative Photoacoustic Tomography,
MedImg(35), No. 11, November 2016, pp. 2497-2508.
IEEE DOI 1609
Bayes methods BibRef

Tzoumas, S., Deliolanis, N., Morscher, S., Ntziachristos, V.,
Unmixing Molecular Agents From Absorbing Tissue in Multispectral Optoacoustic Tomography,
MedImg(33), No. 1, January 2014, pp. 48-60.
IEEE DOI 1402
acoustic tomography BibRef

Birk, M.[Matthias], Zapf, M.[Michael], Balzer, M.[Matthias], Ruiter, N.[Nicole], Becker, J.[Jürgen],
A comprehensive comparison of GPU- and FPGA-based acceleration of reflection image reconstruction for 3D ultrasound computer tomography,
RealTimeIP(9), No. 1, March 2014, pp. 159-170.
Springer DOI 1403
BibRef

Dong, C.D.[Cheng-Dong], Jin, Y.W.[Yuan-Wei], Lu, E.[Enyue],
Accelerated Nonlinear Multichannel Ultrasonic Tomographic Imaging Using Target Sparseness,
IP(23), No. 3, March 2014, pp. 1379-1393.
IEEE DOI 1403
gradient methods BibRef

Caballero, M.A.A.[M.A. Araque], Gateau, J., Dean-Ben, X.L., Ntziachristos, V.,
Model-Based Optoacoustic Image Reconstruction of Large Three-Dimensional Tomographic Datasets Acquired With an Array of Directional Detectors,
MedImg(33), No. 2, February 2014, pp. 433-443.
IEEE DOI 1403
acoustic tomography BibRef

Kowar, R.,
On Time Reversal in Photoacoustic Tomography for Tissue Similar to Water,
SIIMS(7), No. 1, 2014, pp. 509-527.
DOI Link 1404
BibRef

Taruttis, A., Rosenthal, A., Kacprowicz, M., Burton, N.C., Ntziachristos, V.,
Multiscale Multispectral Optoacoustic Tomography by a Stationary Wavelet Transform Prior to Unmixing,
MedImg(33), No. 5, May 2014, pp. 1194-1202.
IEEE DOI 1405
Biomedical imaging BibRef

Teniou, S., Meribout, M.,
A Multimodal Image Reconstruction Method Using Ultrasonic Waves and Electrical Resistance Tomography,
IP(24), No. 11, November 2015, pp. 3512-3521.
IEEE DOI 1509
acoustic impedance BibRef

Qiu, L.Y.[Ling-Yun], Santosa, F.[Fadil],
Analysis of the Magnetoacoustic Tomography with Magnetic Induction,
SIIMS(8), No. 3, 2015, pp. 2070-2086.
DOI Link 1511
BibRef

Sheng, Q.W.[Qi-Wei], Wang, K.[Kun], Matthews, T.P., Xia, J.[Jun], Zhu, L.[Liren], Wang, L.V., Anastasio, M.A.,
A Constrained Variable Projection Reconstruction Method for Photoacoustic Computed Tomography Without Accurate Knowledge of Transducer Responses,
MedImg(34), No. 12, December 2015, pp. 2443-2458.
IEEE DOI 1601
acoustic tomography BibRef

Lutzweiler, C., Tzoumas, S., Rosenthal, A., Ntziachristos, V., Razansky, D.,
High-Throughput Sparsity-Based Inversion Scheme for Optoacoustic Tomography,
MedImg(35), No. 2, February 2016, pp. 674-684.
IEEE DOI 1602
Approximation methods BibRef

Nguyen, L.V.[Linh V.], Kunyansky, L.A.[Leonid A.],
A Dissipative Time Reversal Technique for Photoacoustic Tomography in a Cavity,
SIIMS(9), No. 2, 2016, pp. 748-769.
DOI Link 1608
BibRef

Hannukainen, A., Hyvönen, N., Majander, H., Tarvainen, T.,
Efficient Inclusion of Total Variation Type Priors in Quantitative Photoacoustic Tomography,
SIIMS(9), No. 3, 2016, pp. 1132-1153.
DOI Link 1610
BibRef

Liu, H., Wang, K., Peng, D., Li, H., Zhu, Y., Zhang, S., Liu, M., Tian, J.,
Curve-Driven-Based Acoustic Inversion for Photoacoustic Tomography,
MedImg(35), No. 12, December 2016, pp. 2546-2557.
IEEE DOI 1612
Acoustics BibRef

Tzoumas, S., Kravtsiv, A., Gao, Y., Buehler, A., Ntziachristos, V.,
Statistical Molecular Target Detection Framework for Multispectral Optoacoustic Tomography,
MedImg(35), No. 12, December 2016, pp. 2534-2545.
IEEE DOI 1612
Biology BibRef

Lou, Y.[Yang], Wang, K.[Kun], Oraevsky, A.A.[Alexander A.], Anastasio, M.A.[Mark A.],
Impact of nonstationary optical illumination on image reconstruction in optoacoustic tomography,
JOSA-A(33), No. 12, December 2016, pp. 2333-2347.
DOI Link 1612
Fibers, polarization-maintaining BibRef

Drozdov, G., Rosenthal, A.,
Analysis of Negatively Focused Ultrasound Detectors in Optoacoustic Tomography,
MedImg(36), No. 1, January 2017, pp. 301-309.
IEEE DOI 1701
Detectors BibRef

Brochu, F.M., Brunker, J., Joseph, J., Tomaszewski, M.R., Morscher, S., Bohndiek, S.E.,
Towards Quantitative Evaluation of Tissue Absorption Coefficients Using Light Fluence Correction in Optoacoustic Tomography,
MedImg(36), No. 1, January 2017, pp. 322-331.
IEEE DOI 1701
Absorption BibRef

Javaherian, A., Holman, S.,
A Multi-Grid Iterative Method for Photoacoustic Tomography,
MedImg(36), No. 3, March 2017, pp. 696-706.
IEEE DOI 1703
Absorption BibRef

Chung, J.[Julianne], Nguyen, L.[Linh],
Motion Estimation and Correction in Photoacoustic Tomographic Reconstruction,
SIIMS(10), No. 1, 2017, pp. 216-242.
DOI Link 1704
BibRef

Kwon, K.[Kiwoon], Moon, S.[Sunghwan],
Reconstruction Formula for Photoacoustic Tomography with Cylindrical Detectors,
JMIV(58), No. 2, June 2017, pp. 265-278.
Springer DOI 1704
BibRef

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

Nguyen, L.V.[Linh V.], Haltmeier, M.[Markus], Kowar, R.[Richard], Do, N.[Ngoc],
Analysis for Full-Field Photoacoustic Tomography with Variable Sound Speed,
SIIMS(15), No. 3, 2022, pp. 1213-1228.
DOI Link 2208
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.[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.[Jiasheng], 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, Pattern recognition, 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


Salmon, B.[Benjamin], Krull, A.[Alexander],
Towards Structured Noise Models for Unsupervised Denoising,
BioImage22(379-394).
Springer DOI 2304
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:Mar 16, 2024 at 20:36:19