SNR and CNR - PowerPoint PPT Presentation

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SNR and CNR

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Fluctuations in Nyquist ghost. Segmentation ghosts. Motion. Noise. 6. Psy 8960, Fall 06 ... (This should be a picture of one noisy image and one ugly image) ... – PowerPoint PPT presentation

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Title: SNR and CNR


1
Noise
  • SNR and CNR
  • Types of noise
  • Thermal
  • Physiological
  • Artifacts
  • Thermal noise
  • Averaging
  • Bandwidth
  • SNR - definitions

2
SNR why do we care?
  • Typical BOLD contrast 1 change
  • Typical image SNR 1001
  • Typical CNR 1!

3
SNR why do we care?
  • Temporal averaging beats down noise

4
SNR why do we care?
  • Doubling SNR (CNR) 4X reduction in scan time

5
Types of noise
  • Thermal
  • Random fluctuations in current in receive coil,
    amplifier
  • Spatially independent
  • Physiological noise
  • Respiration
  • Cardiac
  • Vasomotor
  • Uncontrolled cognitive factors
  • Artifacts
  • Spikes
  • Fluctuations in Nyquist ghost
  • Segmentation ghosts
  • Motion

6
Ways to reduce thermal noise
  • Refrigerate sample

7
Ways to reduce thermal noise
  • Refrigerate sample
  • Average multiple image acquisitions

8
Ways to reduce thermal noise
  • Refrigerate sample
  • Average multiple image acquisitions
  • Decrease bandwidth

(This should be a picture of one noisy image and
one ugly image)
9
Ways to reduce thermal noise
  • Refrigerate sample
  • Average multiple image acquisitions
  • Decrease bandwidth
  • Increase field of view (while maintaining
    resolution)

10
Ways to reduce thermal noise
  • Refrigerate sample
  • Average multiple image acquisitions
  • Decrease bandwidth
  • Increase field of view (while maintaining
    resolution)
  • Increase voxel size (increase S, rather than
    decrease N)

11
Ways to quantify SNR
  • mean(S) in sample region / stdev(noise) in
    background

12
Ways to quantify SNR
  • mean(S) in sample region / stdev(noise) in
    background
  • mean(S) in sample region / stdev(S) in sample
    region

13
Ways to quantify SNR
  • mean(S) in sample region / stdev(noise) in
    background
  • mean(S) in sample region / stdev(S) in sample
    region
  • mean(S) in voxel / std(Svoxel) through time

SNR 15?
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