Ultrasound Simulations using REC and SAFT

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Ultrasound Simulations using REC and SAFT Presenter: Tony Podkowa November 13, 2012 Advisor: Dr José R. Sánchez Department of Electrical and Computer Engineering

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Ultrasound Simulations using REC and SAFT. Presenter : Tony Podkowa November 13, 2012 Advisor: Dr José R. Sánchez Department of Electrical and Computer Engineering. Outline. I. Introduction II.Project Summary III.Block Diagram IV.Preliminary Work V.Schedule. Outline. - PowerPoint PPT Presentation

Transcript of Ultrasound Simulations using REC and SAFT

Page 1: Ultrasound Simulations using REC and SAFT

Ultrasound Simulations using REC and SAFT

Presenter:Tony Podkowa

November 13, 2012

Advisor: Dr José R. SánchezDepartment of Electrical and Computer Engineering

Page 2: Ultrasound Simulations using REC and SAFT

OutlineI. IntroductionII. Project SummaryIII. Block DiagramIV. Preliminary WorkV. Schedule

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OutlineI. IntroductionII. Project SummaryIII. Block DiagramIV. Preliminary WorkV. Schedule

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Introduction

Medical Applications Tumor detection Blood flow imaging Cardiac imaging

Piezoelectric Transducer Ultrasonic Pulses Tissue Density reflects Pulses

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OutlineI. IntroductionII. Project SummaryIII. Block DiagramIV. Preliminary WorkV. Schedule

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Project Summary

Specialized techniques improve image resolution and SNR.

Resolution Enhancement Compression (REC) Improves Axial Resolution and SNR

Synthetic Aperture Focusing Techniques (SAFT) Improve Lateral Resolution and SNR

Goal: To simulate the combination of both REC and SAFT in

an ultrasound system using the Matlab addon Field II.

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OutlineI. IntroductionII. Project SummaryIII. Block DiagramIV. Preliminary WorkV. Schedule

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System Block Diagram

REC Transducer SAFTVin(t)

Vpc(t)ImageRecon.

Image Output

Vlc(t)

Received Echo Signals

Beamformed Signals

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Resolution Enhancement Compression

Pulse Compression Technique Uses Convolution Equivalence Exchange the transducer impulse response a desired

response Increases bandwidth Better resolution

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Source:M. Oelze, “Bandwidth and Resolution Enhancement through Pulse Compression,” IEEE Trans. Ultrason., Ferroelec. and Freq. Control, vol. 54, pp. 768–781, Apr. 2007. 10

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REC Subsystem

WaveformGenerator

Vulc(f) Vpc(f)TukeyWindow

Vlc(f)

)()(fHfH

t

d

)()(fHfH

d

t

Vupc(f)

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System Block Diagram

REC Transducer SAFTVin(t)

Vpc(t)ImageRecon.

Image Output

Vlc(t)

Received Echo Signals

Beamformed Signals

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Transducer

Linear Array Transducer consisting of several elements

Capable of emitting and receiving ultrasonic pulses

Generates several signals to be processed to form an image.

S. I. Nikolov, Synthetic Aperture Tissue and Flow Ultrasound Imaging. PhD thesis, Technical University of Denmark, Aug. 2001.13

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Transducer Specifications

256 Elements 3 MHz Center Frequency 200 MHz Sampling Frequency 4 mm Element Height 0.26 mm Element Width 0.04 mm Element Kerf 20 mm Focus

Height

Width

Kerf

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System Block Diagram

REC Transducer SAFT

Received Echo Signals

Vin(t)Vpc(t)

ImageRecon.

Beamformed Signals

Image Output

Vlc(t)

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Synthetic Aperture Focusing Techniques

Electrically focuses signals to create an artificial aperture.

Uses different excitation schemes Three Variations:

Generic Synthetic Aperture Ultrasound (GSAU) Synthetic Transmit Aperture Ultrasound (STAU) Synthetic Receive Aperture Ultrasound (SRAU)

Results generated by delay and sum beamforming.

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GSAU

Transmit with one and receive with one.

Each transmit event generates a low resolution image.

Information needs to be delayed appropriately for each pixel before summing.

Gain in SNR:cxr ip

pi||2)(

ipx pr

ix

ipip xrx

)(10log )SNRSNR(10log GSNR 1010

0eN

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STAU

Transmit with one and receive with all.

Additional degree of freedom Gain in SNR:

cxxr jpip

pi||||)(

ipx pr jpx

)(10log GSNR 210 eN

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SRAU

Transmit with all and receive with one.

Gain in SNR:

crxr pip

pi||||)(

ipx pr)(10log GSNR 3

10 eN

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SAFT

Delay and SumBeamformingApodization

Image Scan Lines

Received Echo Signals

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Apodization

Spatial Windowing Used to shape the beam

profile Reweighting by apodization

coefficients Several different windowing

techniques can be studied Rectangular Triangular Raised Cosine

a1

a2

aN

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System Block Diagram

REC Transducer SAFT

Received Echo Signals

Vin(t)Vpc(t)

ImageRecon.

Beamformed Signals

Image Output

Vlc(t)

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Image Reconstruction Subsystem

WienerFilter

Envelope Detection

Logarithmic Compression Limiter

Beamformed Signal Image

Scan Line

Vlc(t)

)(SNR|)(|)()( 1-2

*

ffVfVf

lc

lcREC

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OutlineI. IntroductionII. Project SummaryIII. Block DiagramIV. Preliminary WorkV. Schedule

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Preliminary Work

Image Reconstruction subsystem completed. STAU partially completed

Conventional pulsing instead of REC Individual low resolution images generated. Output image generated. Rectangular apodization 64 elements instead of 256

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Individual STAU Images

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Effect of Beamforming

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OutlineI. IntroductionII. Project SummaryIII. Block DiagramIV. Preliminary WorkV. Schedule

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Schedule

1/28 – 2/8: REC 2/11 – 2/22: GPGPU implementation of STAU 2/25 – 3/8: GSAU 3/11 – 3/29: SRAU 4/1 – 4/12: Prepare for Student Scholarship Expo 4/15 – 4/19: Expo 4/22 – 5/3: Write Final Report & Presentation

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Page 30: Ultrasound Simulations using REC and SAFT

Ultrasound Simulations using REC and SAFT

Presenter:Tony Podkowa

November 13, 2012

Advisor: Dr José R. SánchezDepartment of Electrical and Computer Engineering

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Generic Synthetic Aperture Ultrasound

Object

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Generic Synthetic Aperture Ultrasound

Object

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Matched Filter

ADCPre-amplifier

Matchedfilter

Echo Signal

SAFTA Reconstructed image

A

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