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Approximation methods
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Computed tomography
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Acoustics
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1612
Biology
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1612
Fibers, polarization-maintaining
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1701
Detectors
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Brochu, F.M.,
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1701
Absorption
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1703
Absorption
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1704
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IEEE DOI
1708
Absorption, Biomedical optical imaging, Image reconstruction,
Optical imaging, Optical scattering, Tomography,
Optoacoustic/photoacoustic tomography, multispectral imaging,
non-negative constraint, spectral, unmixing
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Haltmeier, M.[Markus],
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1710
Anatomical structure, photoacoustic imaging,
ultrasonic transducers, ultrasonography
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Betcke, M.,
Huynh, N.,
Adler, J.,
Cox, B.,
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Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic
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1806
Computational modeling, Image reconstruction, Machine learning,
Propagation, TV, Tomography,
photoacoustic tomography
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An Axially Variant Kernel Imaging Model Applied to Ultrasound Image
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1807
biomedical ultrasonics, convolution, deconvolution,
image reconstruction, medical image processing,
ultrasound
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Roy, S.,
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A New Optimization Approach to Sparse Reconstruction of
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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.,
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Dahl, J.J.,
Herickhoff, C.D.,
Versatile Low-Cost Volumetric 3-D Ultrasound Platform for Existing
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IEEE DOI
1810
Ultrasonic imaging, Probes,
Sensors, Imaging, Image reconstruction,
system design
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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
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MedImg(37), No. 10, October 2018, pp. 2356-2366.
IEEE DOI
1810
Magnetic resonance imaging, Phantoms, Ultrasonic imaging,
Magnetic separation, Blind source separation,
nanoparticles
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Tang, S.,
Sabonghy, E.P.,
Chaudhry, A.,
Shajudeen, P.S.,
Islam, M.T.,
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Tasciotti, E.,
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A Model-Based Approach to Investigate the Effect of a Long Bone
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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
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Nguyen, T.N.,
Do, M.N.,
Oelze, M.L.,
Visualization of the Intensity Field of a Focused Ultrasound Source In
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MedImg(38), No. 1, January 2019, pp. 124-133.
IEEE DOI
1901
Acoustic beams, Visualization, Image reconstruction,
Medical treatment, Imaging, Ultrasonic imaging, Transducers,
bistatic
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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.
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1901
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Betcke, M.,
Zhang, E.,
Beard, P.,
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Enhancing Compressed Sensing 4D Photoacoustic Tomography by
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SIIMS(11), No. 4, 2018, pp. 2224-2253.
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Naser, M.A.,
Sampaio, D.R.T.,
Muñoz, N.M.,
Wood, C.A.,
Mitcham, T.M.,
Stefan, W.,
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Pavan, T.Z.,
Avritscher, R.,
Bouchard, R.R.,
Improved Photoacoustic-Based Oxygen Saturation Estimation With
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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
Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Freehand Ultrasound, Ultrasonic, Generation .