Signal Processing - March 2016 - 117

imaging is the capability of imaging at
a frame rate of up to tens of thousands
frames/second [5]. While such ultrafast
imaging technology offers great
opportunities for the improvement of
US imaging, especially for fast moving
objects such as a beating heart, arterial
flow, or a shear wave within the tissue
(based on which the tissue elasticity
can be quantified), it also raises significant challenges. Techniques to make
full use of the GB of data acquired per
second are required. There are opportunities to take advantage of the prior
knowledge in both the underlying
imaging physics and target tissue/
organ physiology, and to generate in
real-time clinically relevant information that are yet to be fully exploited.
In addition, the complex nonlinear
signals generated by MBs provide
another avenue for research, as the MB
signals can be influenced by many variables related to the in vivo environment,
such as blood pressure, proximity to vessel wall, gas saturation, and the mechanical properties of the surrounding tissue.
A better understanding of the physics
and advanced modeling and signal processing techniques could lead to extracting this clinically relevant information
from the MB signals. Additionally, while
most clinical US imaging is still in two
dimensions, three-dimensional US
imaging is arriving and will create further opportunities and challenges for
data postprocessing. Finally, molecular
imaging using targeted MBs is another
exciting area of further development,
where more advanced signal processing
could help detect and evaluate pathologies at their earliest stage.

Acknowledgments
We would like to thank Dr. Adrian Lim,
Prof. David Cosgrove, Prof. Roxy Senior,
and Yuanwei Li for providing some of
the clinical images used in this article;
Dr. Alfred Yu for providing the flow
phantom; and the U.K. Engineering and
Physical Sciences Research Council for
financial support (EP/M011933/1).

Authors
Antonio Stanziola (antonio.stanziola14@
ic.ac.uk) is a Ph.D. student with the
Ultrasound Laboratory for Imaging and
Sensing Group, Imperial College London.
Matthieu Toulemonde (m. toulemonde@
ic.ac.uk) is a postdoctoral researcher
with the Ultrasound Laboratory for
Imaging and Sensing Group, Imperial
College London.
Yesna O. Yildiz (y.yildiz11@ic.ac.uk)
is a Ph.D. student with the Ultrasound
Laboratory for Imaging and Sensing
group, Imperial College London.
Robert J. Eckersley (robert.eckersley@kcl.ac.uk) is a senior lecturer at
King's College London.
Meng-Xing Tang (mengxing.tang@
ic.ac.uk) is a reader (associate professor)
of biomedical imaging and the head of
the Ultrasound Laboratory for Imaging
and Sensing group, Department of Bioengineering, Imperial College London.

References

[1] J. R. Lindner, "Microbubbles in medical imaging:
Current applications and future directions," Nat. Rev.
Drug Discov., vol. 3, no. 6, pp. 527-533, 2004.
[2] C. Tremblay-Darveau, R. Williams, L. Milot, M.
Bruce, and P. N. Burns, "Combined perfusion and
Doppler imaging using plane-wave nonlinear detection and microbubble contrast agents," IEEE Trans.
Ultrason. Ferroelectr. Freq. Control, vol. 61, no. 12,
pp. 1988-2000, 2014.

[3] T. Faez, M. Emmer, K. Kooiman, M. Versluis, A. F.
W. van der Steen, and N. de Jong, "20 years of ultrasound contrast agent modeling," IEEE Trans. Ultrason.
Ferroelectr. Freq. Control, vol. 60, no. 1, pp. 7-20, 2013.
[4] F. Lin, C. Cachard, F. Varray, and O. Basset,
"Generalization of multipulse transmission techniques
for ultrasound imaging," Ultrason. Imaging, vol. 37,
no. 4, pp. 294-311, 2015.
[5] M. Tanter and M. Fink, "Ultrafast imaging in biomedical ultrasound," IEEE Trans. Ultrason. Ferroelectr.
Freq. Control, vol. 61, no. 1, pp. 102-119, 2014.
[6] J. M. G. Borsboom, C. T. Chin, A. Bouakaz, M.
Versluis, and N. de Jong, "Harmonic chirp imaging
method for ultrasound contrast agent," IEEE Trans.
Ultrason. Ferroelectr. Freq. Control, vol. 52, no. 2,
pp. 241-249, 2005.
[7] S. Harput, J. McLaughlan, D. M. J. Cowell, and
S. Freear, "Superharmonic imaging with chirp coded
excitation: Filtering spectrally overlapped harmonics,"
IEEE Trans. Ultrason. Ferroelectr. Freq. Control,
vol. 61, no. 11, pp. 1802-1814, 2014.
[8] M.-X. Tang, H. Mulvana, T. Gauthier, A. K. P.
Lim, D. O. Cosgrove, R. J. Eckersley, and E. Stride,
"Quantitative contrast-enhanced ultrasound imaging:
A review of sources of variability," Interface Focus,
vol. 1, no. 4, pp. 520-539, 2011.
[9] Y. O. Yildiz, R. J. Eckersley, R. Senior, A. K. P.
Lim, D. Cosgrove, and M.-X. Tang, "Correction of
non-linear propagation artifact in contrast-enhanced
ultrasound imaging of carotid arteries: Methods and in
vitro evaluation," Ultrasound Med. Biol., vol. 41, no.
7, pp. 1938-1947, 2015.
[10] W. K. Cheung, D. M. Gujral, B. N. Shah, N. S.
Chahal, S. Bhattacharyya, D. O. Cosgrove, R. J.
Eckersley, K. J. Harrington et al., "Attenuation correction and normalisation for quantification of contrast enhancement in ultrasound images of carotid
arteries," Ultrasound Med. Biol., vol. 41, no. 7, pp.
1876-1883, 2015.
[11] K. Wei, A. R. Jayaweera, S. Firoozan, A. Linka, D.
M. Skyba, and S. Kaul, "Quantification of myocardial
blood flow with ultrasound-induced destruction of
microbubbles administered as a constant venous infusion," Circulation, vol. 97, no. 5, pp. 473-483, 1998.
[12] K. Christensen-Jeffries, R. J. Browning, M.-X.
Tang, C. Dunsby, and R. J. Eckersley, "In vivo acoustic super-resolution and super-resolved velocity mapping using microbubbles," IEEE Trans. Med.
Imaging, vol. 34, no. 2, pp. 433-440, 2015.
[13] C. H. Leow, E. Bazigou, R. J. Eckersley, A. C. H.
Yu, P. D. Weinberg, and M.-X. Tang, "Flow velocity
mapping using contrast enhanced high-frame-rate
plane wave ultrasound and image tracking: Methods
and initial in vitro and in vivo evaluation," Ultrasound
Med. Biol., vol. 41, no. 11, pp. 2913-2925, 2015.

SP

APPLiCATiONS COrNer (continued from page 110)
[13] L. Nataraj, D. Kirat, B. S. Manjunath, and G. Vigna,
"SARVAM: Search And RetrieVAl of Malware," in Proc.
Annu. Computer Security Conf. Worshop on Next
Generation Malware Attacks and Defense, Dec. 2013.
[14] (2015, Dec.). Virustotal. [Online]. Available:
https://www.virustotal.com/
[15] L. Nata raj, S. Ka r thikeyan, and B. S.
Manjunath, "SATTVA: SpArsiTy inspired classificaTion of malware VAriants," in Proc. 3rd ACM

Workshop on Information Hiding and Multimedia
Security, June 2015, pp. 135-140.

radically lowers dimension," J. Amer. Math. Soc.,
vol. 22, no. 1, pp. 1-53, Jan. 2009.

[16] J. Wright, A. Y. Yang, A. Ganesh, S. S.
Sastry, and Y. Ma, "Robust face recognition via
spa rse representation," IEEE Trans. Pattern
Anal. Mach. Intell., vol. 31, no. 2, pp. 210-227,
Apr. 2008.

[18] J. K. Pillai, V. M. Patel, R. Chellapa, and N. K.
Ratha, "Secure and robust iris recognition using random projections and sparse representations," IEEE
Trans. Pattern Anal. Mach. Intell., vol. 33, no. 9, pp.
1877-1893, Feb. 2011.

[17] D. Donoho and J. Tanner, "Counting faces of
randomly projected polytopes when the projection

SP

IEEE Signal Processing Magazine

|

March 2016

|

117


https://www.virustotal.com/

Table of Contents for the Digital Edition of Signal Processing - March 2016

Signal Processing - March 2016 - Cover1
Signal Processing - March 2016 - Cover2
Signal Processing - March 2016 - 1
Signal Processing - March 2016 - 2
Signal Processing - March 2016 - 3
Signal Processing - March 2016 - 4
Signal Processing - March 2016 - 5
Signal Processing - March 2016 - 6
Signal Processing - March 2016 - 7
Signal Processing - March 2016 - 8
Signal Processing - March 2016 - 9
Signal Processing - March 2016 - 10
Signal Processing - March 2016 - 11
Signal Processing - March 2016 - 12
Signal Processing - March 2016 - 13
Signal Processing - March 2016 - 14
Signal Processing - March 2016 - 15
Signal Processing - March 2016 - 16
Signal Processing - March 2016 - 17
Signal Processing - March 2016 - 18
Signal Processing - March 2016 - 19
Signal Processing - March 2016 - 20
Signal Processing - March 2016 - 21
Signal Processing - March 2016 - 22
Signal Processing - March 2016 - 23
Signal Processing - March 2016 - 24
Signal Processing - March 2016 - 25
Signal Processing - March 2016 - 26
Signal Processing - March 2016 - 27
Signal Processing - March 2016 - 28
Signal Processing - March 2016 - 29
Signal Processing - March 2016 - 30
Signal Processing - March 2016 - 31
Signal Processing - March 2016 - 32
Signal Processing - March 2016 - 33
Signal Processing - March 2016 - 34
Signal Processing - March 2016 - 35
Signal Processing - March 2016 - 36
Signal Processing - March 2016 - 37
Signal Processing - March 2016 - 38
Signal Processing - March 2016 - 39
Signal Processing - March 2016 - 40
Signal Processing - March 2016 - 41
Signal Processing - March 2016 - 42
Signal Processing - March 2016 - 43
Signal Processing - March 2016 - 44
Signal Processing - March 2016 - 45
Signal Processing - March 2016 - 46
Signal Processing - March 2016 - 47
Signal Processing - March 2016 - 48
Signal Processing - March 2016 - 49
Signal Processing - March 2016 - 50
Signal Processing - March 2016 - 51
Signal Processing - March 2016 - 52
Signal Processing - March 2016 - 53
Signal Processing - March 2016 - 54
Signal Processing - March 2016 - 55
Signal Processing - March 2016 - 56
Signal Processing - March 2016 - 57
Signal Processing - March 2016 - 58
Signal Processing - March 2016 - 59
Signal Processing - March 2016 - 60
Signal Processing - March 2016 - 61
Signal Processing - March 2016 - 62
Signal Processing - March 2016 - 63
Signal Processing - March 2016 - 64
Signal Processing - March 2016 - 65
Signal Processing - March 2016 - 66
Signal Processing - March 2016 - 67
Signal Processing - March 2016 - 68
Signal Processing - March 2016 - 69
Signal Processing - March 2016 - 70
Signal Processing - March 2016 - 71
Signal Processing - March 2016 - 72
Signal Processing - March 2016 - 73
Signal Processing - March 2016 - 74
Signal Processing - March 2016 - 75
Signal Processing - March 2016 - 76
Signal Processing - March 2016 - 77
Signal Processing - March 2016 - 78
Signal Processing - March 2016 - 79
Signal Processing - March 2016 - 80
Signal Processing - March 2016 - 81
Signal Processing - March 2016 - 82
Signal Processing - March 2016 - 83
Signal Processing - March 2016 - 84
Signal Processing - March 2016 - 85
Signal Processing - March 2016 - 86
Signal Processing - March 2016 - 87
Signal Processing - March 2016 - 88
Signal Processing - March 2016 - 89
Signal Processing - March 2016 - 90
Signal Processing - March 2016 - 91
Signal Processing - March 2016 - 92
Signal Processing - March 2016 - 93
Signal Processing - March 2016 - 94
Signal Processing - March 2016 - 95
Signal Processing - March 2016 - 96
Signal Processing - March 2016 - 97
Signal Processing - March 2016 - 98
Signal Processing - March 2016 - 99
Signal Processing - March 2016 - 100
Signal Processing - March 2016 - 101
Signal Processing - March 2016 - 102
Signal Processing - March 2016 - 103
Signal Processing - March 2016 - 104
Signal Processing - March 2016 - 105
Signal Processing - March 2016 - 106
Signal Processing - March 2016 - 107
Signal Processing - March 2016 - 108
Signal Processing - March 2016 - 109
Signal Processing - March 2016 - 110
Signal Processing - March 2016 - 111
Signal Processing - March 2016 - 112
Signal Processing - March 2016 - 113
Signal Processing - March 2016 - 114
Signal Processing - March 2016 - 115
Signal Processing - March 2016 - 116
Signal Processing - March 2016 - 117
Signal Processing - March 2016 - 118
Signal Processing - March 2016 - 119
Signal Processing - March 2016 - 120
Signal Processing - March 2016 - 121
Signal Processing - March 2016 - 122
Signal Processing - March 2016 - 123
Signal Processing - March 2016 - 124
Signal Processing - March 2016 - 125
Signal Processing - March 2016 - 126
Signal Processing - March 2016 - 127
Signal Processing - March 2016 - 128
Signal Processing - March 2016 - Cover3
Signal Processing - March 2016 - Cover4
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_201809
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_201807
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_201805
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_201803
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_201801
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1117
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0917
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0717
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0517
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0317
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0117
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1116
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0916
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0716
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0516
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0316
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0116
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1115
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0915
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0715
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0515
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0315
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0115
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1114
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0914
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0714
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0514
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0314
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0114
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1113
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0913
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0713
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0513
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0313
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0113
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1112
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0912
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0712
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0512
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0312
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0112
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1111
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0911
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0711
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0511
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0311
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0111
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1110
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0910
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0710
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0510
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0310
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0110
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1109
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0909
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0709
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0509
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0309
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0109
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1108
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0908
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0708
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0508
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0308
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0108
https://www.nxtbookmedia.com