1. Chapter 6: Real-Time Image Formation

2. display B, M, Doppler image processing Doppler processing digital receive beamformer system control keyboard beamformer control digital transmit beamformer DAC high voltage amplifier ADC variable gain T/R switch array body All digital

3. Generic Ultrasonic Imaging System Transmitter: –Arbitrary waveform. –Programmable transmit voltage. –Arbitrary firing sequence. –Programmable apodization, delay control and frequency control. Digital Waveform Generator D/AHV AmpTransducer Array Control

4. OR

5. Transmit Waveform Characteristics of transmit waveforms. MHz dB Normalized Amplitude Spectra Waveforms ss

6. Generic Ultrasonic Imaging System Receiver: –Programmable apodization, delay control and frequency control. –Arbitrary receive direction. Image processing: –Pre-detection filtering. –Post-detection filtering. Full gain correction: TGC, analog and digital. Scan converter: various scan format.

7. Generic Receiver beam former filtering (pre- detection) envelope detection filtering(post- detection) mapping and other processing scan conversion display adaptive controls A/D

8. Pre-detection Filtering Z t X

9. Pulse shaping. (Z) Temporal filtering. (t) Beam shaping. (X) –Selection of frequency range. (Z  X) –Correction of focusing errors. (X  X’) |C(x) | |p(x’,z)| -aa 1 2a /2a x'/z F.T.

10. Pulse-echo effective apertures DynTx DynRx 0 0.5 1 0 1 DynRx 1 FixedRx 0 5 10 0 5 The pulse-echo beam pattern is the multiplication of the transmit beam and the receive beam The pulse-echo effective aperture is the convolution of transmit and receive apertures For C.W. R=Ro R≠Ro

11. Post-Detection Filtering Data re-sampling (Acoustic  Display). Speckle reduction (incoherent averaging). Feature enhancement. Aesthetics. Post-processing: –Re-mapping (gray scale and color). –Digital gain.

12. Envelope Detection Demodulation based: rf signal envelop

13. Envelope Detection Hilbert Transform f f0f0 -f 0 f f0f0 f f0f0 H.T.

14. Beam Former Design

15. Implementaiton of Beam Formation Delay is simply based on geometry. Weighting (a.k.a. apodization) strongly depends on the specific approach.

16. Beam Formation - Delay Delay is based on geometry. For simplicity, a constant sound velocity and straight line propagation are assumed. Multiple reflection is also ignored. In diagnostic ultrasound, we are almost always in the near field. Therefore, range focusing is necessary.

17. Beam Formation - Delay Near field / far field crossover occurs when f # =aperture size/wavelength. The crossover also corresponds to the point where the phase error across the aperture becomes significant (destructive).

18. Phased Array Imaging Symmetry Transducer Delay Tx Rx  R x

19. Dynamic Focusing Delay R Fix Dynamic Dynamic-focusing obtains better image quality but implementation is more complicated.

20. Focusing Architecture summation 1 N delay line delay controller transducer array

21. Delay Pattern Delay Time n0n0 k0k0 Delays are quantized by sampling-period t s.

22. Missing Samples Time DelayDelay-ChangeBeamformer Human Body t1t1 t2t2

23. Beam Formation  delay controller input output

24. Beam Formation - Delay The sampling frequency for fine focusing quality needs to be over 32*f 0 (>> Nyquist). Interpolation is essential in a digital system and can be done in RF, IF or BB.

25. Delay Quantization The delay quantization error can be viewed as the phase error of the phasors.

26. Delay Quantization N=128, 16 quantization steps per cycles are required. In general, 32 and 64 times the center frequency is used.

27. Beam Formation - Delay RF beamformer requires either a clock well over 100MHz, or a large number of real-time computations. BB beamformer processes data at a low clock frequency at the price of complex signal processing. element i ADCinterpolationdigital delay s u m m a t i o n

28. Beam Formation - RF Interpolation by 2: Z -1 MUX 1/2

29. Beam Formation - RF General filtering architecture (interpolation by m): Delay Filter 1 Filter 2 Filter m-1 MUX Fine delay control FIFO Coarse delay control

30. Autonomous Delay Control n0n0 n1n1 A=n 0 +1   n=1 j=1 A<=0? A=A+  n+n 0 j=j+1 A=A+j   n=  n+1 N bump Autonomous vs. Centralized

31. Beam Formation - BB A(t-  )cos2  f 0 (t-  ) A(t-  )cos2  f 0 (t-  )e -j2  fdt magnitude f f 0 -f d -f 0 -f d f f 0 -f d LPF(A(t-  )cos2  f 0 (t-  )e -j2  fdt ) f f0f0 -f 0 rf baseband

32. Beam Formation - BB

33. element i ADCdemod/ LPF time delay/ phase rotation IQ I Q

34. element i ADCdemod/ LPF time delay/ phase rotation IQ I Q The coarse time delay is applied at a low clock frequency, the fine phase needs to be rotated accurately (e.g., by CORDIC).

35.  -Based Beamformers

36. Why  ? High Delay Resolution -- 32 f 0 (requires interpolation) Multi-Bit Bus High Sampling Rate -- No Interpolation Required Single-Bit Bus -- Suitable for Beamformers with Large Channel-Count  Advantages Current Problems

37. Conventional vs. 

38. Advantages of Over-Sampling Noise averaging. For every doubling of the sampling rate, it is equivalent to an additional 0.5 bit quantization. Less requirements for delay interpolation. Conventional A/D not ideal for single-bit applications.

39. Advantages of  Beamformers Noise shaping. Single-bit vs. multi-bits. Simple delay circuitry. Integration with A/D and signal processing. For hand-held or large channel count devices.

40. Block-Diagram of the  Modulator Quantizer D/A _ yx Integrator e LPF  x* Single-Bit Over-Sampling Noise-Shaping Reconstruction The SNR of a 32 f 0, 2nd-order, low- passed  modulator is about 40dB.

41. Property of a  Modulator

42. A Delta-Sigma Beamformer No Interpolation Single-Bit Bus Transducer TGC  A/D Shift-Register Delay-Controller / MUX Transducer TGC Shift-Register Delay-Controller / MUX...Single-Bit LPF  A/D

43. A. RF B. Repeat C. Insert-Zero D. Sym-Hold A -70 -60 -50 -40 -30 -20 -10 0 B DC Results

44. Cross-Section-Views of Peak 3

45. Scan Conversion Acquired data may not be on the display grid. Acquired grid Display grid

46. Scan Conversion sin  R x y acquiredconverted

47. Scan Conversion original grid raster grid acquired data display pixel a(i,j) a(i,j+1) a(i+1,j) a(i+1,j+1) p

48. Moiré Pattern

49. Scan Conversion original data buffer interpolationdisplay buffer addresses and coefficients generation display

50. Temporal Resolution (Frame Rate) Frame rate=1/Frame time. Frame time=number of lines * line time. Line time=(2*maximum depth)/sound velocity. Sound velocity is around 1540 m/s. High frame rate is required for real-time imaging.

51. Temporal Resolution Display standard: NTSC: 30 Hz. PAL: 25 Hz (2:1 interlace). 24 Hz for movie. The actual acoustic frame rate may be higher or lower. But should be high enough to have minimal flickering. Essence of real-time imaging: direct interaction.

52. Temporal Resolution For an actual frame rate lower than 30 Hz, interpolation is used. For an actual frame rate higher than 30 Hz, information can be displayed during playback. Even at 30 Hz, it is still possibly undersampling.

53. Temporal Resolution B-mode vs. Doppler. Acoustic power: peak vs. average. Increasing frame rate: –Smaller depth and width. –Less flow samples. –Wider beam width. –Parallel beam formation.

54. Parallel Beamformation Simultaneously receive multiple beams. Correlation between beams, spatial ambiguity. Require duplicate hardware (higher cost) or time sharing (reduced processing time and axial resolution). r1r2 t t r1 r2

55. Parallel Beamformation Simultaneously transmit multiple beams. Interference between beams, spatial ambiguity. t1/r1t2/r2 t1/r1 t2/r2