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Resolution Enhancement Compression-Resolution Enhancement Compression-Synthetic Aperture FocusingSynthetic Aperture Focusing
Student:Student:
Hans BetheHans Bethe
Advisor: Dr. Jose R. SanchezAdvisor: Dr. Jose R. Sanchez
Bradley UniversityBradley University
Department of Electrical EngineeringDepartment of Electrical Engineering
22
MotivationMotivationUltrasound Imaging is important in medical diagnosisUltrasound Imaging is important in medical diagnosis
Figure 1: Imaging fetus [1] Figure 2: Imaging fetus [1]
33
MotivationMotivation Ultrasound imaging involves exciting transducer and forming ultrasound Ultrasound imaging involves exciting transducer and forming ultrasound
beamsbeams
Synthetic Aperture Focusing (SAF): a beam-forming technique which can Synthetic Aperture Focusing (SAF): a beam-forming technique which can improve lateral resolutionimprove lateral resolution
Resolution Enhancement Compression (REC): coded excitation technique Resolution Enhancement Compression (REC): coded excitation technique for exciting transducer which can increase echo-signal-to-noise-ratio for exciting transducer which can increase echo-signal-to-noise-ratio (eSNR) => increase axial resolution (eSNR) => increase axial resolution
Objectives: Objectives: a/ Investigate REC and SAFT techniques through literature research and a/ Investigate REC and SAFT techniques through literature research and
simulationsimulationb/ Combine REC and SAFTb/ Combine REC and SAFT
44
OutlineOutline
I. Ultrasound Imaging SystemI. Ultrasound Imaging System
II. Synthetic Aperture Focusing (SAF)II. Synthetic Aperture Focusing (SAF)
III. Resolution Enhancement Compression III. Resolution Enhancement Compression (REC)(REC)
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I. Ultrasound Imaging SystemI. Ultrasound Imaging System
Transducer
Image construction
system
Figure 3: Example of an imaging system [2]
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TransducerTransducer Converts signal or energy of one form to anotherConverts signal or energy of one form to another In imaging, converts electrical signal to ultrasound signal In imaging, converts electrical signal to ultrasound signal Emits ultrasound pulses and and receives echoesEmits ultrasound pulses and and receives echoes
Target
Ultrasound pulses
Echoes
Transducer
Figure 4: Ultrasound emission and reflection
77
Image Construction SystemImage Construction System
Pre-amplifier
MatchedfilterEcho ADelay
UnitTransducer
excitation
A Apodization RAMimage
ADDER
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Image Construction SystemImage Construction System
Pre-amplifier
MatchedfilterEcho ADelay
UnitTransducer
excitation
A Apodization RAMimage
ADDER
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Image Construction SystemImage Construction System
Pre-amplifier
MatchedfilterEcho ADelay
UnitTransducer
excitation
A Apodization RAMimage
ADDER
Minimize effect of noise by suppressing noise outside input frequency band => increases signal-to-noise ratio (SNR) of output
1010
Image Construction SystemImage Construction System
Pre-amplifier
MatchedfilterEcho ADelay
UnitTransducer
excitation
A Apodization RAMimage
ADDER
1111
Image Construction SystemImage Construction System
Pre-amplifier
MatchedfilterEcho ADelay
UnitTransducer
excitation
A Apodization RAMimage
ADDER
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ApodizationApodization
• Process of varying signal strengths in transmission and reception across transducer
• Reduces side lobes
• Signal strengths decreases with increasing distance from center => elements closer to center receive stronger excitation signals
• Control beam width => improve or degrade lateral resolution
Figure 5: Illustration of apodization
Center
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Beam width and lateral resolutionBeam width and lateral resolution
Figure 6: Illustration of the effect beam width has on lateral resolution
1 2 3
• Lateral resolution = capability of imaging system to distinguish 2 closely spaced objects positioned perpendicular to the axis of ultrasound beam
• Larger beam width => greater likelihood of ultrasound pulses covering objects => echoes from reflectors more likely to merge => degrade lateral resolution
objects
transducer
beam
beam axis
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Image Construction SystemImage Construction System
Pre-amplifier
MatchedfilterEcho ADelay
UnitTransducer
excitation
A Apodization RAMimage
ADDER
1515
Image Construction SystemImage Construction System
Pre-amplifier
MatchedfilterEcho ADelay
UnitTransducer
excitation
A Apodization RAMimage
ADDER
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• In synthetic aperture focusing (SAF), a single transducer element is used both, in transmit In synthetic aperture focusing (SAF), a single transducer element is used both, in transmit and receive modesand receive modes• Each element in the transducer emits pulses one by oneEach element in the transducer emits pulses one by one
1 2 3
target
Echo
Pulse
Figure 7: Illustration of SAF
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SAFT implementations are performed using a delay-and-sum (DAS) processing in time SAFT implementations are performed using a delay-and-sum (DAS) processing in time domaindomain
Transducer
Target
L1
L3L6
L9
pulses
Figure 8: Illustration of DAS
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SAFT implementations are performed using a delay-and-sum (DAS) processing in time SAFT implementations are performed using a delay-and-sum (DAS) processing in time domaindomain
Transducer
Target
L1
L3L6
L9
pulses
Figure 8: Illustration of DAS
echoes
2020
SAFT implementations are performed using a delay-and-sum (DAS) processing in time SAFT implementations are performed using a delay-and-sum (DAS) processing in time domaindomain
Transducer
Target
L1
L3L6
L9
pulses
Figure 8: Illustration of DAS
c
Lt 3
3
2
c
Lt 6
6
2
c
Lt 9
9
2
c
Lt 11
2
echoes
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SAFT implementations are performed using a delay-and-sum (DAS) processing in time SAFT implementations are performed using a delay-and-sum (DAS) processing in time domaindomain
Transducer
Target
L1
L3L6
L9
Figure 8: Illustration of DAS
Transducer
Delay unit
c
Lt 3
3
2
c
Lt 6
6
2
c
Lt 9
9
2
c
Lt 11
2
pulses
echoes
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SAFT implementations are performed using a delay-and-sum (DAS) processing in time SAFT implementations are performed using a delay-and-sum (DAS) processing in time domaindomain
Transducer
Target
L1
L3L6
L9
Figure 8: Illustration of DAS
Transducer
Delay unit
Sum
c
Lt 3
3
2
c
Lt 6
6
2
c
Lt 9
9
2
c
Lt 11
2
pulses
echoes
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WHY REC?WHY REC?
Figure 9: Resolution Comparison [3] Figure 10: Background-target separation [3]
Before REC, conventional pulsing (CP) was usedBefore REC, conventional pulsing (CP) was used CP proved ineffective in term of image resolutionCP proved ineffective in term of image resolution
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WHY REC?WHY REC? To enhance image resolution by CP, increase excitation voltage => produces To enhance image resolution by CP, increase excitation voltage => produces
excessive heating => hazardous to patients => a better excitation technique is excessive heating => hazardous to patients => a better excitation technique is needed => gave rise to the investigation of RECneeded => gave rise to the investigation of REC
Advantages of REC:Advantages of REC:a/ Improves axial resolution without increasing acoustic peak powera/ Improves axial resolution without increasing acoustic peak powerb/ Offers the capability to obtain the optimal FM chirp to increase the bandwidth of b/ Offers the capability to obtain the optimal FM chirp to increase the bandwidth of
imaging systemimaging system
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REC: a coded excitation technique (coded excitation = FM or PM waveform)REC: a coded excitation technique (coded excitation = FM or PM waveform) Employs Convolution Equivalence Principle to generate pre-enhanced chirpEmploys Convolution Equivalence Principle to generate pre-enhanced chirp Excitation by pre-enhanced chirp increases bandwidth of imaging system => Excitation by pre-enhanced chirp increases bandwidth of imaging system =>
produce shorter-duration pulses => increases axial resolutionproduce shorter-duration pulses => increases axial resolution
(axial resolution = ability of imaging system to distinguish objects closely spaced along(axial resolution = ability of imaging system to distinguish objects closely spaced along
the axis of the beam)the axis of the beam)
objects
transducer
beam
Figure 11: Illustration of axial resolution
beam axis
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0 0.5 1 1.5 2
x 10-6
-1
-0.5
0
0.5
1
h1(t)
t (s)
Mag
nitu
de (V
)
0 1 2 3 4
x 10-6
-1
-0.5
0
0.5
1
Vpre-chirp
(t)
t (s)
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nitu
de (V
)
0 0.5 1 1.5 2 2.5 3
x 10-6
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-0.5
0
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Vpre-chirp
(t)*h1(t)
t (s)
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nitu
de (V
)
0 0.5 1 1.5 2
x 10-6
-1
-0.5
0
0.5
1
h2(t)
t (s)
Mag
nitu
de (V
)
0 0.5 1 1.5 2
x 10-5
-1
-0.5
0
0.5
1
Vlin-chirp
(t)
t (s)
Mag
nitu
de (V
)
0 0.5 1 1.5 2 2.5 3
x 10-6
-1
-0.5
0
0.5
1
Vlin-chirp
(t)*h2(t)
t (s)
V
Figure 10: Illustration of convolution equivalence principle
)(*)()(*)( 21 tvthtvth chirplinchirppre
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0 0.5 1 1.5 2
x 10-6
-1
-0.5
0
0.5
1
h1(t) (actual transducer impulse response)
t (s)
Mag
nit
ud
e (V
)
0 1 2 3 4
x 10-6
-1
-0.5
0
0.5
1
Vpre-chirp
(t)
t (s)
Mag
nit
ud
e (V
)
0 0.5 1 1.5 2
x 10-6
-1
-0.5
0
0.5
1
h2(t) (desired transducer impulse response)
t (s)
Mag
nit
ud
e (V
)
0 0.5 1 1.5 2
x 10-5
-1
-0.5
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0.5
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Vlin-chirp
(t)
t (s)
Mag
nit
ud
e (V
)
REC MechanismREC Mechanism
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0 0.5 1 1.5 2
x 10-6
-1
-0.5
0
0.5
1
h1(t) (actual transducer impulse response)
t (s)
Mag
nit
ud
e (V
)
0 1 2 3 4
x 10-6
-1
-0.5
0
0.5
1
Vpre-chirp
(t)
t (s)
Mag
nit
ud
e (V
)
0 0.5 1 1.5 2
x 10-6
-1
-0.5
0
0.5
1
h2(t) (desired transducer impulse response)
t (s)
Mag
nit
ud
e (V
)
0 0.5 1 1.5 2
x 10-5
-1
-0.5
0
0.5
1
Vlin-chirp
(t)
t (s)
Mag
nit
ud
e (V
)
REC MechanismREC Mechanism
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0 0.5 1 1.5 2
x 10-6
-1
-0.5
0
0.5
1
h1(t) (actual transducer impulse response)
t (s)
Mag
nit
ud
e (V
)
0 1 2 3 4
x 10-6
-1
-0.5
0
0.5
1
Vpre-chirp
(t)
t (s)
Mag
nit
ud
e (V
)
0 0.5 1 1.5 2
x 10-6
-1
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0
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h2(t) (desired transducer impulse response)
t (s)
Mag
nit
ud
e (V
)
0 0.5 1 1.5 2
x 10-5
-1
-0.5
0
0.5
1
Vlin-chirp
(t)
t (s)
Mag
nit
ud
e (V
)
REC MechanismREC Mechanism
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0 0.5 1 1.5 2
x 10-6
-1
-0.5
0
0.5
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h1(t) (actual transducer impulse response)
t (s)
Mag
nit
ud
e (V
)
0 1 2 3 4
x 10-6
-1
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(t)
t (s)
Mag
nit
ud
e (V
)
0 0.5 1 1.5 2
x 10-6
-1
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h2(t) (desired transducer impulse response)
t (s)
Mag
nit
ud
e (V
)
0 0.5 1 1.5 2
x 10-5
-1
-0.5
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Vlin-chirp
(t)
t (s)
Mag
nit
ud
e (V
)
REC MechanismREC Mechanism
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0 0.5 1 1.5 2
x 10-6
-1
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h1(t) (actual transducer impulse response)
t (s)
Mag
nit
ud
e (V
)
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x 10-6
-1
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-0.4
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(t)
t (s)M
ag
nit
ud
e (
V)
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(t)*h1(t)
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nit
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e (V
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e (V
)
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nit
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e (V
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(t)*h2(t)
t (s)
V
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Functional RequirementsFunctional RequirementsI/ SAFI/ SAF Transducer shall consist of a linear array of elementsTransducer shall consist of a linear array of elements SAF shall be performed through MATLAB Field II. SAF shall be performed through MATLAB Field II. Total memory consumption shall not > 2 gigabytes.Total memory consumption shall not > 2 gigabytes. Delay and sum calculations shall be performed through a GPGPU.Delay and sum calculations shall be performed through a GPGPU. Total synthetic aperture processing time shall be < 1 second.Total synthetic aperture processing time shall be < 1 second. Signal-to-noise ratio (SNR) of the images shall be at least 50 dB.Signal-to-noise ratio (SNR) of the images shall be at least 50 dB.
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Functional RequirementsFunctional RequirementsII/ RECII/ REC The impulse response of the imaging system (denoted as h1(t)) shall have a The impulse response of the imaging system (denoted as h1(t)) shall have a
center frequency f0 of 2 MHz. center frequency f0 of 2 MHz. h1(t) shall have a bandwidth of about 83%. h1(t) shall have a bandwidth of about 83%. The sampling frequency fs shall be 400 MHz.The sampling frequency fs shall be 400 MHz. The desired impulse response of imaging system (denoted as h2(t) ) shall have a The desired impulse response of imaging system (denoted as h2(t) ) shall have a
bandwidth about 1.5 times the bandwidth of h1(t). bandwidth about 1.5 times the bandwidth of h1(t). The linear chirp shall have a bandwidth about 1.14 times the bandwidth of h2(t)The linear chirp shall have a bandwidth about 1.14 times the bandwidth of h2(t) The side lobes of shall be reduced below 40 dB.The side lobes of shall be reduced below 40 dB.
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ID Task NameNov 2012
11/11 11/18
1 Pulse Compression through MATLAB
3 Beam forming through Field II
4 Simulation through GPGPU
5 Write final report
Final presentation
Dec 2012
11/25 12/2 12/9
Jan 2013 Feb 2013 Mar 2013
12/16 12/23 12/30 1/6 1/13 1/20 1/27 2/3 2/10 2/17 2/24 3/3 3/10 3/17
2 Hilbert Transform and log compression
Apr 2013
3/24 3/31 4/7 4/14 4/21 4/28
May 2013
5/5
7 Update project website
6
ScheduleSchedule
3737
PatentsPatents1/ Ultrasound signal compression1/ Ultrasound signal compression Inventors: A. W . Wegener (Aptos Hill, CA, US), M. V. Nanevics (Palo Alto, Inventors: A. W . Wegener (Aptos Hill, CA, US), M. V. Nanevics (Palo Alto,
CA, US) CA, US) Assignees: Samplify Systems, Inc. Assignees: Samplify Systems, Inc. IPC8 Class: AA61B806FIIPC8 Class: AA61B806FI USPC Class: 600454USPC Class: 600454 Class name: Ultrasonic doppler effect blood flow studiesClass name: Ultrasonic doppler effect blood flow studies Patent application number: 20120157852 Patent application number: 20120157852
2/ 2/ Ultrasound imaging using coded excitation on transmit and selective filtering of Ultrasound imaging using coded excitation on transmit and selective filtering of fundamental and sub-harmonic signals on receivefundamental and sub-harmonic signals on receive
Inventors: Inventors: Richard Yung Richard Yung ChiaoChiao, , Ann Lindsay HallAnn Lindsay Hall, , Kai Erik Kai Erik ThomeniusThomenius Original Assignee: Original Assignee: General Electric CompanyGeneral Electric Company Current U.S. Classification: Current U.S. Classification: 600/447600/447; ; 600/458600/458 International Classification: A61B 800 International Classification: A61B 800
3838
PatentsPatents3/ Ultrasonic imaging system with beamforming using unipolar or bipolar coded 3/ Ultrasonic imaging system with beamforming using unipolar or bipolar coded
excitationexcitation Inventors: Inventors: Richard Yung Richard Yung ChiaoChiao, , Lewis Jones Thomas, IIILewis Jones Thomas, III Original Assignee: Original Assignee: General Electric CompanyGeneral Electric Company Primary Examiner: Ali M. ImamPrimary Examiner: Ali M. Imam Current U.S. Classification: Current U.S. Classification: 600/447600/447 International Classification: A61B 800 International Classification: A61B 800
4/ 4/ Synthetic aperture ultrasound imaging systemSynthetic aperture ultrasound imaging system Inventors: J. Robert Fort, Norman S. Neidell, Douglas J. Morgan, Phillip C. Inventors: J. Robert Fort, Norman S. Neidell, Douglas J. Morgan, Phillip C.
LandmeierLandmeier Current U.S. Classification: 600/447; 73/597; 600/437Current U.S. Classification: 600/447; 73/597; 600/437 International Classification: A61B 800International Classification: A61B 800
3939
PatentsPatents5/ System and method for adaptive beamformer apodization5/ System and method for adaptive beamformer apodization Inventor: Inventor: Hong WangHong Wang Original Assignee: Original Assignee: Siemens Medical Solutions USA, Inc.Siemens Medical Solutions USA, Inc. Primary Examiner: Marvin M. LateefPrimary Examiner: Marvin M. Lateef Secondary Examiner: Ali M. ImamSecondary Examiner: Ali M. Imam Current U.S. Classification: Current U.S. Classification: 600/443600/443 International Classification: A61B/800International Classification: A61B/800
6/ 6/ Transducer array imaging systemTransducer array imaging system Inventors: Inventors: Kevin S. RandallKevin S. Randall, , Jodi Schwartz Jodi Schwartz KlesselKlessel, , Anthony P. Anthony P. LannuttiLannutti, ,
Joseph A. Joseph A. UrbanoUrbano Original Assignee: Original Assignee: PenrithPenrith Corporation Corporation Primary Examiner: Jacques M Saint SurinPrimary Examiner: Jacques M Saint Surin Attorney: Condo Roccia LLPAttorney: Condo Roccia LLP Current U.S. Classification: Current U.S. Classification: 73/66173/661; ; 73/62073/620; ; 73/64973/649; 600/443; 600/447 ; 600/443; 600/447
4040
ReferencesReferences[1] Ultrasound images gallery http://www.ultrasound-images.com/pancreas.htm
[2] http://sell.bizrice.com/selling-leads/48391/Digital-Portable-Color-Doppler-Ultrasound-System.html
[3] J. R. Sanchez et al., "A Novel Coded Excitation Scheme to Improve Spatial and Contrast [3] J. R. Sanchez et al., "A Novel Coded Excitation Scheme to Improve Spatial and Contrast Resolution of Quantitative Ultrasound Imaging" Resolution of Quantitative Ultrasound Imaging" IEEE Trans Ultrasonics, Ferroelectrics, and IEEE Trans Ultrasonics, Ferroelectrics, and Frequency Control,Frequency Control, vol. 56, no. 10, pp. 2111-2123, October 2009. vol. 56, no. 10, pp. 2111-2123, October 2009.
[4] S. I. Nikolov, “Synthetic Aperture Tissue and Flow Ultrasound Imaging[4] S. I. Nikolov, “Synthetic Aperture Tissue and Flow Ultrasound Imaging
[5] [5] T. Misaridis and J. A. Jensen, “Use of Modulated Excitation Signals in Medical Ultrasound” IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol. 52, no. 2, February 2005.
[6] M. L. Oelze, “Bandwidth and Resolution Enhancement Through Pulse Compression”, IEEE Trans. Ultrasonics, Ferroelectrics, and Frequency Control, vol. 54, no. 4, April 2007.
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ReferencesReferences[7] J. R. Sanchez and M. L. Oelze, “An Ultrasonic Imaging Speckle-Suppression and Contrast-Enhancement Technique by Means of Frequency Compounding and Coded Excitation”, IEEE Trans. Ultrasonics, Ferroelectrics, and Frequency Control, vol. 56, no. 7, Julyl 2009.
[8] M. Oelze, “Improved Axial Resolution Using Pre-enhanced Chirps and Pulse Compression”, 2006 IEEE Ultrasonics Symposium
[9] Tadeusz Stepinski, “An Implementation of Synthetic Aperture Focusing Technique in [9] Tadeusz Stepinski, “An Implementation of Synthetic Aperture Focusing Technique in Frequency Domain”,Frequency Domain”, IEEE transactions on Ultrasonics, Ferroelectrics, and Frequency IEEE transactions on Ultrasonics, Ferroelectrics, and Frequency control, control, vol. 54, no. 7, July 2007vol. 54, no. 7, July 2007
[10] J. A. Zagzebski, “Essentials of Ultrasound Physics’[10] J. A. Zagzebski, “Essentials of Ultrasound Physics’