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Attenuation Coefficient Estimation Farah Deeba, Ricky Hu, Jefferson - - PowerPoint PPT Presentation

A Spatially Weighted Regularization Method for Attenuation Coefficient Estimation Farah Deeba, Ricky Hu, Jefferson Terry, Denise Pugash, Jennifer A. Hutcheon, Chantal Mayer, Septimiu Salcudean, Robert Rohling The University of British Columbia,


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The University of British Columbia, Vancouver, British Columbia, Canada

A Spatially Weighted Regularization Method for Attenuation Coefficient Estimation

Farah Deeba, Ricky Hu, Jefferson Terry, Denise Pugash, Jennifer A. Hutcheon, Chantal Mayer, Septimiu Salcudean, Robert Rohling

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Oral

Attenuation Coefficient Estimate (ACE)

  • A promising clinical tool to

detect and monitor fatty liver

2

Fat Fraction (%)

ACE

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Attenuation Coefficient Estimate (ACE)

  • A promising clinical tool to detect and

monitor fatty liver

  • Potential for placental tissue

characterization;

3

Fetal Maternal

ACE

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Trade-off: Resolution and Measurement Quality

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ACE Error Window Size = 2 mm Window Size = 3 mm Window Size (mm) Window Size = 4 mm Window Size = 5 mm Window Size = 6 mm Window Size = 7 mm Window Size = 8 mm

Resolution Accuracy & Precision Reference Phantom Method (RPM)

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TV Regularization: A Solution to Extend the Trade-off

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เทœ ๐‘ฆ = arg min

๐‘ฆ {||๐‘ง โˆ’ ๐ต๐‘ฆ||2 2+๐œ‡. ๐‘ˆ๐‘Š ๐›ฝ + ๐œ‡. ๐‘ˆ๐‘Š ๐›พ }

Data Misfit (||๐‘ง โˆ’ ๐ต๐‘ฆ||2

2)

Regularization ๐‘ˆ๐‘Š(๐‘ฆ)

๐œ‡=0.125 ๐œ‡=1.0 ๐œ‡=8.0

๐‘ฆ = [๐›ฝ ๐›พ] ๐›ฝ = Attenuation Coefficient Estimate (ACE) ๐›พ = Backscatter Coefficient (BSC)

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Window Size = 7 mm

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ACE Error Window Size = 2 mm Window Size = 3 mm Window Size (mm) Window Size = 4 mm Window Size = 5 mm Window Size = 6 mm Window Size = 7 mm Window Size = 8 mm

RPM TV

TV Regularization: A Solution to Extend the Trade-off

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Inhomogeneity

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Scatterers with different density Scatterers with different size CIRS 040 Phantom (ACE = 0.7 dB/cm/MHz) BSC Map ACE Error Map TV regularization

  • introduces large ACE

error;

  • fails to capture BSC

variation at the target locations.

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SLIDE 8

In Search for an Inhomogeneity Indicator

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Homogeneous Medium Received US Signal Amplitude (from a large number of uniformly distributed scatteres) ๐ต Real Imaginary | าง ๐ต| = ๐œ

๐œŒ 2; var A

= ๐œ2[2 โˆ’ ๐œŒ

2]

๐‘„๐ธ๐บ (๐ต)

Envelope SNR, ๐‘‡๐‘‚๐‘†opt = | าง

๐ต| var A

= ๐œŒ(4 โˆ’ ๐œŒ) =1.9

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In Search for an Inhomogeneity Indicator

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๐‘„๐ธ๐บ (๐ต)

Envelope SNR, ๐‘‡๐‘‚๐‘†opt = 1.9 ฮ”๐‘‡๐‘‚๐‘†e = ๐‘‡๐‘‚๐‘†e โˆ’ ๐‘‡๐‘‚๐‘†opt ๐‘‡๐‘‚๐‘†opt ร— 100% Scatterers with different density Scatterers with different size CIRS 040 Phantom (ACE = 0.7 dB/cm/MHz) ฮ”๐‘‡๐‘‚๐‘†๐‘“ Map

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SWTV-ACE

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เทœ ๐‘ฆ = arg min

๐‘ฆ {||๐‘ง โˆ’ ๐ต๐‘ฆ||2 2+๐œ‡1๐‘ˆ๐‘Š ๐›ฝ + ๐œ‡2๐‘‡๐‘‹๐‘ˆ๐‘Š ๐›พ

๐‘‡๐‘‹๐‘ˆ๐‘Š ๐›พ = เท

๐‘—,๐‘˜

๐‘‹

๐›พ ๐‘—,๐‘˜ |๐›พ๐‘—+1,๐‘˜ โˆ’ ๐›พ๐‘—,๐‘˜ +|๐›พ๐‘—,๐‘˜+1 โˆ’ ๐›พ๐‘—,๐‘˜

๐‘‹

๐›พ(ฮ”๐‘‡๐‘‚๐‘†๐‘“) =

๐‘ 1 + exp(๐‘(ฮ”๐‘‡๐‘‚๐‘†๐‘“ โˆ’ ฮ”๐‘‡๐‘‚๐‘†๐‘“

๐‘›๐‘—๐‘œ)

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SLIDE 11

BSC Map ACE Error Map

SWTV-ACE

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เทœ ๐‘ฆ = arg min

๐‘ฆ {||๐‘ง โˆ’ ๐ต๐‘ฆ||2 2+๐œ‡1๐‘ˆ๐‘Š ๐›ฝ + ๐œ‡2๐‘‡๐‘‹๐‘ˆ๐‘Š ๐›พ

๐‘‡๐‘‹๐‘ˆ๐‘Š ๐›พ = เท

๐‘—,๐‘˜

๐‘‹

๐›พ ๐‘—,๐‘˜ |๐›พ๐‘—+1,๐‘˜ โˆ’ ๐›พ๐‘—,๐‘˜ +|๐›พ๐‘—,๐‘˜+1 โˆ’ ๐›พ๐‘—,๐‘˜

๐‘‹

๐›พ(ฮ”๐‘‡๐‘‚๐‘†๐‘“) =

๐‘ 1 + exp(๐‘(ฮ”๐‘‡๐‘‚๐‘†๐‘“ โˆ’ ฮ”๐‘‡๐‘‚๐‘†๐‘“

๐‘›๐‘—๐‘œ)

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Scatterers with different density Scatterers with different size CIRS 040 Phantom (ACE = 0.7 dB/cm/MHz)

BSC Map ACE Error Map

TV Regularization SWTV-ACE

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Phantom 1 Ground Truth (dB/cm/MHz) Mean Absolute Error (%) Standard Deviation (%) RPM TV SWTV RPM TV SWTV 1.3 47.6 2.6 5.9 58.7 1.6 1.2

Phantom 1: Uniform ACE and Uniform BSC

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Phantom 2: Variable ACE and Uniform BSC

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Phantom 2 Ground Truth (dB/cm/MHz) Mean Absolute Error (%) Standard Deviation (%) RPM TV SWTV RPM TV SWTV Background 0.84 106.4 10.5 7.2 134.9 16.1 10.5 Inclusion 1.18 55.1 8.7 8.9 75.1 9.5 4.0

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Phantom 3: Similar ACE and Variable BSC

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Phantom 3 Ground Truth (dB/cm/MHz) Mean Absolute Error (%) Standard Deviation (%) RPM TV SWTV RPM TV SWTV Background 0.72 103.5 19.2 15.6 132.0 26.1 12.1 Inclusion 0.65 74.9 21.0 10.2 88.0 28.3 5.0

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Results: Placenta ex-vivo

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TV SWTV-ACE RPM ฮ”๐‘‡๐‘‚๐‘†e

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Conclusion

  • SWTV-ACE improves the quality of ACE

computation by reducing the estimation variance irrespective of window size and inhomogeneity.

  • Improved resolution will provide local

variation information within the liver. Improved precision would be required to qualify as a reliable diagnostic tool.

  • The precise ACE estimation of thin and

heterogeneous tissues shows promise for placental tissue characterization.

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Reference Phantom TV SWTV Homogeneous ROI Inhomogeneous ROI

window size inhomogeneity

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Appendix: Inhomogeneity

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Scatterers with different density Scatterers with different size CIRS 040 Phantom (ACE = 0.7 dB/cm/MHz) Total Attenuation, ACE Scattering Absorption

Simplified System Equation:

๐‘ป = ๐‘ฉ๐‘ซ๐‘ญ + ๐‘ช๐‘ป๐‘ซ ๐‘‡ = Power Spectrum term; ๐ต๐ท๐น = ACE term; ๐ถ๐‘‡๐ท = BSC term;

Both RPM and TV regularization introduce large ACE error and fail to account for BSC variation at the target locations.