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Ultrasound Simulations using REC and SAFT Ultrasound Simulations using REC and SAFT

Ultrasound Simulations using REC and SAFT - PowerPoint Presentation

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Ultrasound Simulations using REC and SAFT - PPT Presentation

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 ID: 760424

signals image saft block image signals block saft aperture resolution ultrasound rec transducer preliminary schedule synthetic project workv outline

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Presentation Transcript

Slide1

Ultrasound Simulations using REC and SAFT

Presenter

:

Tony

Podkowa

November 13, 2012

Advisor: Dr José R.

Sánchez

Department

of Electrical

and Computer Engineering

Slide2

Outline

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

2

Slide3

Outline

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

3

Slide4

Introduction

Medical ApplicationsTumor detectionBlood flow imagingCardiac imagingPiezoelectric TransducerUltrasonic PulsesTissue Density reflects Pulses

4

Slide5

Outline

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

5

Slide6

Project Summary

Specialized techniques improve image resolution and SNR.Resolution Enhancement Compression (REC)Improves Axial Resolution and SNRSynthetic Aperture Focusing Techniques (SAFT)Improve Lateral Resolution and SNRGoal: To simulate the combination of both REC and SAFT in an ultrasound system using the Matlab addon Field II.

6

Slide7

Outline

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

7

Slide8

System

Block Diagram

REC

Transducer

SAFT

V

in

(t)

V

pc

(t)

Image

Recon.

Image Output

V

l

c

(t)

Received

Echo Signals

Beamformed

Signals

8

Slide9

Resolution Enhancement Compression

Pulse Compression TechniqueUses Convolution EquivalenceExchange the transducer impulse response a desired responseIncreases bandwidthBetter resolution

9

Slide10

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

Slide11

REC Subsystem

Waveform

Generator

V

ulc

(f)

V

pc

(f)

Tukey

Window

V

lc

(f)

V

upc

(f)

11

Slide12

System

Block Diagram

REC

Transducer

SAFT

V

in

(t)

V

pc

(t)

Image

Recon.

Image Output

V

l

c

(t)

Received

Echo Signals

Beamformed

Signals

12

Slide13

Transducer

Linear Array Transducer consisting of several elementsCapable of emitting and receiving ultrasonic pulsesGenerates 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

Slide14

Transducer Specifications

256 Elements3 MHz Center Frequency200 MHz Sampling Frequency4 mm Element Height0.26 mm Element Width0.04 mm Element Kerf20 mm Focus

Height

Width

Kerf

14

Slide15

System

Block Diagram

REC

Transducer

SAFT

Received

Echo Signals

V

in

(t)

V

pc

(t)

Image

Recon.

Beamformed

Signals

Image Output

V

l

c

(t)

15

Slide16

Synthetic Aperture Focusing Techniques

Electrically focuses signals to create an artificial aperture.Uses different excitation schemesThree Variations:Generic Synthetic Aperture Ultrasound (GSAU)Synthetic Transmit Aperture Ultrasound (STAU)Synthetic Receive Aperture Ultrasound (SRAU)Results generated by delay and sum beamforming.

16

Slide17

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:

17

Slide18

STAU

Transmit with one and receive with all.Additional degree of freedomGain in SNR:

18

Slide19

SRAU

Transmit with all and receive with one.Gain in SNR:

19

Slide20

SAFT

Delay and Sum

Beamforming

Apodization

Image Scan Lines

Received

Echo Signals

20

Slide21

Apodization

Spatial WindowingUsed to shape the beam profileReweighting by apodization coefficients Several different windowing techniques can be studiedRectangularTriangularRaised Cosine

a1

a2

aN

21

Slide22

System

Block Diagram

REC

Transducer

SAFT

Received

Echo Signals

V

in

(t)

V

pc

(t)

Image

Recon.

Beamformed

Signals

Image Output

V

l

c

(t)

22

Slide23

Image Reconstruction Subsystem

Wiener

Filter

Envelope

Detection

Logarithmic

Compression

Limiter

Beamformed

Signal

Image Scan Line

V

l

c

(t)

23

Slide24

Outline

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

24

Slide25

Preliminary Work

Image Reconstruction subsystem completed.STAU partially completedConventional pulsing instead of RECIndividual low resolution images generated.Output image generated.Rectangular apodization64 elements instead of 256

25

Slide26

Individual STAU Images

26

Slide27

Effect of Beamforming

27

Slide28

Outline

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

28

Slide29

Schedule

1/28 – 2/8: REC2/11 – 2/22: GPGPU implementation of STAU2/25 – 3/8: GSAU 3/11 – 3/29: SRAU4/1 – 4/12: Prepare for Student Scholarship Expo4/15 – 4/19: Expo4/22 – 5/3: Write Final Report & Presentation

29

Slide30

Ultrasound Simulations using REC and SAFT

Presenter

:

Tony

Podkowa

November 13, 2012

Advisor: Dr José R.

Sánchez

Department

of Electrical

and Computer Engineering

Slide31

Generic Synthetic Aperture Ultrasound

Object

31

Slide32

Generic Synthetic Aperture Ultrasound

Object

32

Slide33

Matched Filter

ADC

Pre-

amplifier

Matchedfilter

Echo Signal

SAFT

A

Reconstructed image

A

33