A 5-Pulse Sequence for Harmonic and Sub-Harmonic Imaging

Slides:



Advertisements
Similar presentations
EE359 – Lecture 8 Outline Capacity of Fading channels Fading Known at TX and RX Optimal Rate and Power Adaptation Channel Inversion with Fixed Rate Capacity.
Advertisements

Six-week project Lauren Villemaire MBP 3970Z Department of Medical Biophysics University of Western Ontario.
MR Sequences and Techniques
Foundations of Medical Ultrasonic Imaging
Lecture 25 Pulse-Width Modulation (PWM) Techniques
Non-linear acoustics in Ultrasound Imaging Hans Torp Department of Physiology and Biomedical Engineering NTNU NTNUNorway Hans Torp NTNU, Norway.
Topics spatial encoding - part 2. Slice Selection  z y x 0 imaging plane    z gradient.
Radar Waveforms Generation & Analysis Islamic University of GAZA (IUG)
Pegasus Lectures, Inc. Volume II Companion Presentation Frank Miele Pegasus Lectures, Inc. Ultrasound Physics & Instrumentation 4 th Edition.
Samansa Maneshi, Jalani Kanem, Chao Zhuang, Matthew Partlow Aephraim Steinberg Department of Physics, Center for Quantum Information and Quantum Control,
ECE 501 Introduction to BME
Ultrasonic Nonlinear Imaging- Tissue Harmonic Imaging.
Investigation of HPM Effects in Voltage Controlled Oscillators Dr. John Rodgers and Cristina Allen University of Maryland Mid Progress Report July, 2010.
Ultrasound Medical Imaging Imaging Science Fundamentals.
Ultrasonic Nonlinear Imaging- Tissue Harmonic Imaging
Despeckle Filtering in Medical Ultrasound Imaging
1 Lecture 9: Diversity Chapter 7 – Equalization, Diversity, and Coding.
Ultrasonography.
HIAPER Cloud Radar Transceiver Exciter Receiver Oscillators High-Powered Amplifier Calibration Exciter Receiver Oscillators High-Powered Amplifier Calibration.
Imaging Sequences part II
A new method for diffusion imaging using Burst excitation C. Wheeler-Kingshott 1, D. Thomas 2, M. Lythgoe 2, S. Williams 2 and S. J. Doran 1 1 University.
ElectroScience Lab IGARSS 2011 Vancouver Jul 26th, 2011 Chun-Sik Chae and Joel T. Johnson ElectroScience Laboratory Department of Electrical and Computer.
RITEC MEDARS MULTIPLE EMAT DRIVER AND RECEIVER SYSTEM Your Logo Here Drive Phased Arrays of EMATs at high powers.
Prof. Brian L. Evans Dept. of Electrical and Computer Engineering The University of Texas at Austin EE445S Real-Time Digital Signal Processing Lab Fall.
Building Three-Dimensional Images Using a Time-Reversal Chaotic Cavity
EELE 5490, Fall, 2009 Wireless Communications Ali S. Afana Department of Electrical Engineering Class 5 Dec. 4 th, 2009.
Multi Frequency Laser Driver for Near Infrared Optical Spectroscopy in Biomedical Application Chenpeng Mu Department of Electrical and Computer Engineering,
Adaptive Imaging Preliminary: Speckle Correlation Analysis.
Ultrasonic Attenuation Tomography Based on Log-Spectrum Analysis Radovan Jiřík, Rainer Stotzka, Torfinn Taxt Brno University of Technology Department of.
Review of Ultrasonic Imaging
EE 6331, Spring, 2009 Advanced Telecommunication Zhu Han Department of Electrical and Computer Engineering Class 7 Feb. 10 th, 2009.
Injection Locked Oscillators Optoelectronic Applications E. Shumakher, J. Lasri, B. Sheinman, G. Eisenstein, D. Ritter Electrical Engineering Dept. TECHNION.
Sarah Gillies Ultrasound Sarah Gillies
Yufeng Zhou and Xiaobin Wilson Gao School of Mechanical & Aerospace Engineering Nanyang Technological University.
Doppler Ultrasound Dr Mohamed El Safwany, MD.. Introduction The Doppler Effect refers to the change in frequency that results when either the detector/observer.
CHAPTER4: CONTINUOUS-WAVE (CW) MODULATION First semester King Saud University College of Applied studies and Community Service 1301CT.
Small Vessel Detection
Saudi Board of Radiology: Physics Refresher Course Kostas Chantziantoniou, MSc 2, DABR Head, Imaging Physics Section King Faisal Specialist Hospital &
Digital Beamforming. Beamforming Manipulation of transmit and receive apertures. Trade-off performance/cost to achieve: –Steer and focus the transmit.
Ultrasound Simulations using REC and SAFT Presenter: Tony Podkowa November 13, 2012 Advisor: Dr José R. Sánchez Department of Electrical and Computer Engineering.
Center for Fast Ultrasound Imaging Department of Electrical Engineering Using Phased Array for Transverse Oscillation Vector Velocity Imaging Michael Johannes.
Chapter 6: Real-Time Image Formation. display B, M, Doppler image processing Doppler processing digital receive beamformer system control keyboard beamformer.
Ultrasonic Imaging Parameters Student: Mei-Ru Yang Wei-Ning Lee Advisor: Pai-Chi Li.
Research Proposal Ultrasonic Image Format 何祚明 陳彥甫 2002/4/10.
Integration of Pulse The process of summing all the radar pulses to improve detection is known as “Pulse integration” A search-radar beam scans, the target.
1 Resolution Enhancement Compression- Synthetic Aperture Focusing Techniques Student: Hans Bethe Advisor: Dr. Jose R. Sanchez Bradley University Department.
Ultrasonic imaging parameters ~Attenuation coefficient Advisor: Pai-Chi Li Student: Mei-Ru Yang Wei-Ning Lee.
Magnetic Resonance Learning Objectives
Performance Issues in Doppler Ultrasound 1. 2 Fundamental Tradeoffs In pulsed modes (PW and color), maximum velocity without aliasing is In pulsed modes,
PSF What is PSF 1way/2way PSFs PSFs for continious & discrete apertures.
TISSUE HARMONIC IMAGING (THI)
TISSUE HARMONIC IMAGING (THI)
Woods Hole Oceanographic Institution, MA 02543
TISSUE HARMONIC IMAGING NUR FASHIHA BINTI AZMAN A DIAGNOSTIC IMAGING AND RADIOTHRAPY /2.
Chapter 5 Mark D. Herbst, M.D., Ph.D.. The MR Imaging Process Two major functions –Acquisition of RF signals –Reconstruction of images.
NUR INANI BINTI MOHD RUZLAN A Tissue harmonic imaging is a technique in ultrasonography that provides images of better quality as compared to conventional.
1 Opto-Acoustic Imaging 台大電機系李百祺. 2 Conventional Ultrasonic Imaging Spatial resolution is mainly determined by frequency. Fabrication of high frequency.
T. Chernyakova, A. Aberdam, E. Bar-Ilan, Y. C. Eldar
Spatially Varying Frequency Compounding of Ultrasound Images
An Optimal Design Method for MRI Teardrop Gradient Waveforms
Review of Ultrasonic Imaging
MRI Pulse Sequences: IR, EPI, PC, 2D and 3D
Telecommunications Engineering Topic 2: Modulation and FDMA
Digital Beamforming.
Radio Propagation Review
10.6 Fourier Transform Mass Spectrometry
8.5 Modulation of Signals basic idea and goals
Uses of filters To remove unwanted components in a signal
Combination of Feature and Channel Compensation (1/2)
Ultrasonic Imaging Using Contrast Agents
Presentation transcript:

A 5-Pulse Sequence for Harmonic and Sub-Harmonic Imaging W. G. Wilkening1, J. Lazenby2, H. Ermert1 1Department of Electrical Engineering, Ruhr-University, Bochum 2Siemens Medical Systems, Ultrasound Group, P.O. Box 7002, Issaquah WA 98027, USA

Outline Introduction 2-pulse sequence 3-pulse sequences Harmonics, speckle Experimental results Conclusion and outlook

Introduction Pulse sequences enable non-linear imaging without a loss in spatial resolution Multi-pulse sequences can increase the SNR Advantages for contrast imaging low acoustic power  increases blood / tissue contrast, less destruction of microbubbles Advantages for tissue harmonic imaging increased imaging depth Disadvantages increased sensitivity to motion

2-Pulse Sequence “Phase Inversion”, “Pulse Inversion” Detects even order harmonics Commercially available Echo 1 Echo 2 Sum time  amplitude  linear scatterer nonlinear scatterer

Multi-Pulse Sequences 3 Equidistant Phases Coherent summation  cancellation of 1st and 2nd harmonic 1 240 120 2nd 1st 3rd

Multi-Pulse Sequences 3 Non-Equidistant Phases Non-equidistant phase + weighted summation of echo signals  cancellation of the 1st harmonic Transmit pulses: s1, s2, s3 phases: 1 = 0, 2 = – 3 (symmetric) Echoes: e1, e2, e3 Weighted sum: e = a1e1 + a2e2 + a3e3 Cancellation of 1st harmonic: a1 = 1, a2 = a3 = f(2)

Phases and Weights Multi-Pulse Sequences with 3 Non-Equidistant Phases 20 40 60 80 100 120 140 160 180 -3 -2 -1 1 2 3 2, degrees 3rd harmonic 2nd harmonic a2 =a3 0° 2 3 s1 s2 s3

Choosing Phases / Weights Multi-Pulse Sequences with 3 Non-Equidistant Phases Preferable weights: a2 = a3  1 Efficient detection of 2nd and 3rd harmonic Examples: 2 a2 2nd harm. 3rd harm. 60° -1 2 0.75 120° 1 72° –1.618 3.6 0.9 144° 0.618 1.38 0.345

Subsets in a Sequence of 5 Equidistant Pulses 5-pulse sequence 5 subsets “type A” of 3 pulses, 2 = 72° 5 subsets “type B” of 3 pulses, 2 = 144° Weighted summation for all 10 subsets  “subset echoes” Demodulation of sums Summation of demod. “subset echoes” 30 210 60 240 90 270 120 300 150 330 180

The 0th Harmonic For CW signals, a 2nd order non-linearity causes a DC component and a 2nd harmonic For broadband signals, the DC component broadens  “0th harmonic”, propagation possible (f > 0 Hz) Phase of the transmitted pulse has no influence on the phase of the 0th harmonic  phases of 2nd and 3rd harmonic in subset echoes vary, phase of the 0th harmonic remains constant  speckle reduction

Spectrum and Phase of the 0th Harmonic Magnitude Spectrum of a Squared Gaussian Shaped Pulse Phase Spectrum of Squared Gaussian Shaped Pulses 0.5 1 1.5 2 x 10 7 -18 -16 -14 -12 -10 -8 -6 -4 -2 Hz normalized amplitude, [dB] 2nd harmonic 0th harmonic squared gaussian shaped pulse, 1st harmonic at 7.2 MHz degrees squared gaussian shaped pulse, 0°, 72°, 144°, 216°, 288° -1600 -1400 -1200 -1000 -800 -600 -400 -200

1st harmonic suppressed Simulation 0.1 0.2 0.3 0.4 -1 -0.5 0.5 1 µs normalized amplitude -40 -20 20 40 amplitude, [a. u.] 1 2 3 4 5 cm lin. + non-lin. lin. original echoes Suppression of 1st harmonic Reduced speckle  unprocessed echoes: SNRspeckle = 1.91 after incoh. summation: SNRspeckle = 2.4 1st harmonic suppressed

5-Pulse Sequence Measurement: String Target Pulse sequence implemented on a Siemens Sonoline® Elegra Measurements from a string phantom Center frequency: 7.2 MHz Weights optimized for measured amplitudes and phases 30 210 60 240 90 270 120 300 150 330 180 1

5-Pulse Sequence Measurements with Levovist 5-pulse sequence, 2 cycles, 3.6 MHz and 7.2 MHz 7.2 MHz linear array Tissue phantom with cylindrical hole Transducer ROI 1.1 cm x 4.2 cm 0.2 0.4 0.6 0.8 1 -1 -0.5 0.5 µs normalized amplitude 3.6 MHz String Target Levovist Tissue

Experimental Results 7.2 MHz B-mode Contrast –4 dB SNRspeckle = 1.8 (0.5 – 1 cm) Harmonic (all) Contrast +14 dB SNRspeckle  3 (inc. w. depth) Sub-Harmonic Contrast +18 dB +50 dB

Spectrogram 1st harmonic suppressed MHz cm 2 4 6 8 10 12 14 16 0.5 1 1.5 2.5 3 3.5 B-Mode Sub-Harm.

Experimental Results, 3.6 MHz 1st harmonic suppressed cm 2 4 6 8 10 12 14 16 0.5 1 1.5 2.5 3 3.5 broadband pulses transmit spectrum dominated by trans-ducer characteristics phase errors increase with frequency excitation above resonance frequency of microbubbles

Conclusion and Outlook 5-pulse sequences enable 0th, 2nd and 3rd harmonic imaging may be combined with flow imaging (data not shown) can be optimized for non-ideal transmit waveforms can be implemented on commercial systems show the potential to improve SNR and to reduce speckle Future work real-time acquisitions in vitro and in vivo symmetrical 3-pulse sequence for sub- and ultra-harmonic imaging (0.5f0, 1.5f0, 2.5f0)