21.10.6.7 Blood Flow Analysis

Tierney, J., Coolbaugh, C., Towse, T., Byram, B.,
Adaptive Clutter Demodulation for Non-Contrast Ultrasound Perfusion Imaging,
MedImg(36), No. 9, September 2017, pp. 1979-1991.
IEEE DOI 1709
Doppler measurement, blood flow measurement, blood vessels, muscle, amplitude demodulation scheme, arterial occlusion, blood velocity, high-pass filter, resolvable vessels, Perfusion BibRef

Tremblay-Darveau, C., Bar-Zion, A., Williams, R., Sheeran, P.S., Milot, L., Loupas, T., Adam, D., Bruce, M., Burns, P.N.,
Improved Contrast-Enhanced Power Doppler Using a Coherence-Based Estimator,
MedImg(36), No. 9, September 2017, pp. 1901-1911.
IEEE DOI 1709
Doppler measurement, biomedical ultrasonics, blood flow measurement, slow capillary perfusion, Ultrasonic imaging BibRef

Huang, C., Irwin, D., Zhao, M., Shang, Y., Agochukwu, N., Wong, L., Yu, G.,
Noncontact 3-D Speckle Contrast Diffuse Correlation Tomography of Tissue Blood Flow Distribution,
MedImg(36), No. 10, October 2017, pp. 2068-2076.
IEEE DOI 1710
Blood flow, Detectors, Instruments, Phantoms, Speckle, Tomography, Finite element modeling, image reconstruction-iterative methods, optical imaging, perfusion imaging, system, design BibRef

Larsson, D., Spühler, J.H., Petersson, S., Nordenfur, T., Colarieti-Tosti, M., Hoffman, J., Winter, R., Larsson, M.,
Patient-Specific Left Ventricular Flow Simulations From Transthoracic Echocardiography: Robustness Evaluation and Validation Against Ultrasound Doppler and Magnetic Resonance Imaging,
MedImg(36), No. 11, November 2017, pp. 2261-2275.
IEEE DOI 1711
Computational fluid dynamics, Computational modeling, Doppler effect, Echocardiography, Robustness, Ultrasonic imaging, BibRef

Saillant, A., Armstrong, I., Shah, V., Zuehlsdorff, S., Hayden, C., Declerck, J., Saint, K., Memmott, M., Jenkinson, M., Chappell, M.A.,
Assessing Reliability of Myocardial Blood Flow After Motion Correction With Dynamic PET Using a Bayesian Framework,
MedImg(38), No. 5, May 2019, pp. 1216-1226.
IEEE DOI 1905
Uncertainty, Kinetic theory, Blood, Dynamics, Computational modeling, Myocardium, Bayes methods, Myocardial blood flow, uncertainty measurements BibRef

Wei, W., Li, Y., Xie, Z., Deegan, A.J., Wang, R.K.,
Spatial and Temporal Heterogeneities of Capillary Hemodynamics and Its Functional Coupling During Neural Activation,
MedImg(38), No. 5, May 2019, pp. 1295-1303.
IEEE DOI 1905
Fluctuations, Hemodynamics, Animals, Electrical stimulation, Bandwidth, Spatiotemporal phenomena, Recruitment, temporal RBC fluctuation BibRef

Cheng, W., Zhu, X., Chen, X., Li, M., Lu, J., Li, P.,
Manhattan Distance-Based Adaptive 3D Transform-Domain Collaborative Filtering for Laser Speckle Imaging of Blood Flow,
MedImg(38), No. 7, July 2019, pp. 1726-1735.
IEEE DOI 1907
Speckle, Filtering, Imaging, Blood flow, Noise reduction, Transforms, Adaptive filtering, Manhattan distance BibRef

Rajna, Z., Raitamaa, L., Tuovinen, T., Heikkilä, J., Kiviniemi, V., Seppänen, T.,
3D Multi-Resolution Optical Flow Analysis of Cardiovascular Pulse Propagation in Human Brain,
MedImg(38), No. 9, September 2019, pp. 2028-2036.
IEEE DOI 1909
Optical imaging, Biomedical optical imaging, Optical pulses, Optical propagation, Estimation, optical flow BibRef

Wang, T., Pfeiffer, T., Daemen, J., Mastik, F., Wieser, W., van der Steen, A.F.W., Huber, R., van Soest, G.,
Simultaneous Morphological and Flow Imaging Enabled by Megahertz Intravascular Doppler Optical Coherence Tomography,
MedImg(39), No. 5, May 2020, pp. 1535-1544.
IEEE DOI 2005
Endoscopy, heart, image acquisition, optical imaging/OCT/DOT, vessels BibRef

Ozgun, K., Tierney, J., Byram, B.,
A Spatial Coherence Beamformer Design for Power Doppler Imaging,
MedImg(39), No. 5, May 2020, pp. 1558-1570.
IEEE DOI 2005
Doppler imaging, blood flow, spatial coherence, power Doppler, beamforming BibRef

Cheng, W., Lu, J., Zhu, X., Hong, J., Liu, X., Li, M., Li, P.,
Dilated Residual Learning With Skip Connections for Real-Time Denoising of Laser Speckle Imaging of Blood Flow in a Log-Transformed Domain,
MedImg(39), No. 5, May 2020, pp. 1582-1593.
IEEE DOI 2005
Blood flow, convolutional neural network (CNN), dilated convolution, laser speckle contrast imaging (LSCI), skip connection BibRef

Tierney, J., Baker, J., Brown, D., Wilkes, D., Byram, B.,
Independent Component-Based Spatiotemporal Clutter Filtering for Slow Flow Ultrasound,
MedImg(39), No. 5, May 2020, pp. 1472-1482.
IEEE DOI 2005
Blood, Clutter, Principal component analysis, Doppler effect, Ultrasonic imaging, Imaging, Correlation, Slow blood flow, independent component analysis BibRef

Wu, C.G.[Cun-Gang], Huang, C.[Chao],
Blood flow imaging of high frame rate two-dimensional vector in cardiovascular ultrasound detection,
IET-IPR(14), No. 13, November 2020, pp. 3014-3020.
DOI Link 2012
BibRef

Franke, J., Baxan, N., Lehr, H., Heinen, U., Reinartz, S., Schnorr, J., Heidenreich, M., Kiessling, F., Schulz, V.,
Hybrid MPI-MRI System for Dual-Modal In Situ Cardiovascular Assessments of Real-Time 3D Blood Flow Quantification: A Pre-Clinical In Vivo Feasibility Investigation,
MedImg(39), No. 12, December 2020, pp. 4335-4345.
IEEE DOI 2012
Magnetic resonance imaging, Animals, In vivo, Heart, Data acquisition, Cardiovascular assessment, 3D + t flow analysis BibRef

Bertolo, A.[Adrien], Sauvage, J.[Jack], Tanter, M.[Mickael], Pernot, M.[Mathieu], Deffieux, T.[Thomas],
XDoppler: Cross-Correlation of Orthogonal Apertures for 3D Blood Flow Imaging,
MedImg(40), No. 12, December 2021, pp. 3358-3368.
IEEE DOI 2112
Electrodes, Transducers, Filtering, Correlation, Clutter, Blood, Array signal processing, 4D ultrafast imaging, beamforming BibRef

Sathyanarayana, S.G.[Sushanth G.], Wang, Z.[Zhuoying], Sun, N.[Naidi], Ning, B.[Bo], Hu, S.[Song], Hossack, J.A.[John A.],
Recovery of Blood Flow From Undersampled Photoacoustic Microscopy Data Using Sparse Modeling,
MedImg(41), No. 1, January 2022, pp. 103-120.
IEEE DOI 2201
Blood flow, Image reconstruction, Correlation, Sparse matrices, Data models, In vivo, Optical pulses, Photoacoustic microscopy, reconstruction BibRef

Bourquin, C.[Chloé], Porée, J.[Jonathan], Lesage, F.[Frédéric], Provost, J.[Jean],
In Vivo Pulsatility Measurement of Cerebral Microcirculation in Rodents Using Dynamic Ultrasound Localization Microscopy,
MedImg(41), No. 4, April 2022, pp. 782-792.
IEEE DOI 2204
Ultrasonic imaging, Ultrasonic variables measurement, Arteries, Velocity measurement, Rats, Mice, Imaging, dynamic ultrasound localization microscopy BibRef

Goolaub, D.S.[Datta Singh], Xu, J.W.[Jia-Wei], Schrauben, E.M.[Eric M.], Marini, D.[Davide], Kingdom, J.C.[John C.], Sled, J.G.[John G.], Seed, M.[Mike], Macgowan, C.K.[Christopher K.],
Volumetric Fetal Flow Imaging With Magnetic Resonance Imaging,
MedImg(41), No. 10, October 2022, pp. 2941-2952.
IEEE DOI 2210
Image reconstruction, Blood, Magnetic resonance imaging, Real-time systems, Transforms, Spatial resolution, phase contrast BibRef

Chen, K.K.[Ko-Kung], Lin, C.J.[Chung-Jung], Chu, W.F.[Wei-Fa],
Dispersion of Heterogeneous Medium in Pulsatile Blood Flow and Absolute Pulsatile Flow Velocity Quantification,
MedImg(42), No. 1, January 2023, pp. 170-182.
IEEE DOI 2301
Blood flow, Dispersion, X-ray imaging, Blood vessels, Biomedical imaging, Imaging, Blood, Angiography, blood flow, advection-diffusion BibRef

Xiu, Z.Y.[Zhao-Yan], Muzi, M.[Mark], Huang, J.[Jian], Wolsztynski, E.[Eric],
Patient-Adaptive Population-Based Modeling of Arterial Input Functions,
MedImg(42), No. 1, January 2023, pp. 132-147.
IEEE DOI 2301
Data models, Statistics, Sociology, Blood, Estimation, Analytical models, Physiology, PET imaging BibRef

Chen, X.[Xi], Lowerison, M.R.[Matthew R.], Dong, Z.J.[Zhi-Jie], Sekaran, N.V.C.[Nathiya Vaithiyalingam Chandra], Llano, D.A.[Daniel A.], Song, P.F.[Peng-Fei],
Localization Free Super-Resolution Microbubble Velocimetry Using a Long Short-Term Memory Neural Network,
MedImg(42), No. 8, August 2023, pp. 2374-2385.
IEEE DOI 2308

WWW Link. Two pre-trained models available:
DOI Link Imaging, Location awareness, Superresolution, Feature extraction, Optical imaging, Ultrasonic imaging, Signal resolution, ultrafast ultrasound BibRef

Krishnan, N.[Nithyakalyani], Muthu, P.,
CVINet: A deep learning based model for the diagnosis of chronic venous insufficiency in lower extremity using infrared thermal images,
IJIST(34), No. 2, 2024, pp. e23004.
DOI Link 2402
chronic venous insufficiency, convolutional neural networks, deep learning model, medical image processing, venous disorder BibRef

Yin, Y.[Yi], Clark, A.R.[Alys R.], Collins, S.L.[Sally L.],
3D Single Vessel Fractional Moving Blood Volume (3D-svFMBV): Fully Automated Tissue Perfusion Estimation Using Ultrasound,
MedImg(43), No. 7, July 2024, pp. 2707-2717.
IEEE DOI 2407
Standardization, Blood, Ultrasonic imaging, Image segmentation, Pregnancy, Estimation, Perfusion, power Doppler ultrasound, uterine vasculature BibRef

Joseph, J.J.[Jermiah J.], Lee, T.Y.[Ting-Yim], Goldman, D.[Daniel], McIntyre, C.W.[Christopher W.], Kharche, S.R.[Sanjay R.],
The Role of Extra-Coronary Vascular Conditions that Affect Coronary Fractional Flow Reserve Estimation,
FIMH21(595-604).
Springer DOI 2108
BibRef

Vixège, F.[Florian], Berod, A.[Alain], Nicoud, F.[Franck], Courand, P.Y.[Pierre-Yves], Vray, D.[Didier], Garcia, D.[Damien],
3-D Intraventricular Vector Flow Mapping Using Triplane Doppler Echo,
FIMH21(587-594).
Springer DOI 2108
BibRef