Dual Energy

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Dual Energy

description

Dual Energy. Introduction. Reduce false alarms from EDS using dual energy techniques Use density and (effective) atomic number to identify harmful objects Limitations include : approximation error, boundary constraints, image artifacts, x-ray spectral drift. Overview of dual-energy. - PowerPoint PPT Presentation

Transcript of Dual Energy

Page 1: Dual Energy

Dual Energy

Page 2: Dual Energy

Introduction

• Reduce false alarms from EDS using dual energy techniques

• Use density and (effective) atomic number to identify harmful objects

• Limitations include : approximation error, boundary constraints, image artifacts, x-ray spectral drift

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Overview of dual-energy

• μ(x, y, z, E) = ac(x, y, z)fKN(E) + ap(x, y, z)fp(E)

Compton scatterphotoelectric effect

• fP(E) = E^-3 and fKN(E) is the Klein-Nishina cross section

• 2 logarithmic projects are then found, pL, pH

• Atomic number is then calculated

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CDM (Constrained Decomposition Method)

Goal: decompose the dual energy projection PL and PH into AC (Compton projection) and AP (photoelectronic projection)

Problem: find (AC, AP) = arg min (PL (AC, AP) - PL)^2 + (PH (AC, AP) - PH)^2s.t. AC >= 0, AP >= 0

CDM vs. indirect polynomial approximation Method (AM)Approach

Results: Error percentage was calculated for both methods

CDM error is due to numerical errorAM error is due to the approximation error

Conclusion: AM should not be used for dual energy CT due to the big dynamic range of photoelectronic coefficients

AC AM

AM 1.5% 238.25%

CDM 0.00008% 0.0002%

14,400 (AC, AP) calibration points generated

(PL , PH) calculated for each (AC, AP)

calibration points reduced by 8,997 by setting max bound

Solved 8,997 linear equations for AMfor 16 polynomial coefficients

Newton – Raphson for CDM method was used

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CDM vs. Truncation Method for handling the Boundary Conditions (TM)

Approach:

Results: Number of error cases : TM – 6,355 cases, CDM – 3,119 cases

Scatter CorrectionResults:

random (AC, AP) pairs were generated

(PL , PH) calculated for each (AC, AP)

noise modeled by Poisson process was added

TM used 2D Newton –Raphson iterative method to solve for (AC, AP)

100,000 truncation cases were identified

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Destreaking

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Spectral Correction

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DISCUSSION

•Constrained decomposition algorithm•Spectral correction algorithm•Adaptive scatter collection algorithm

Limitations:

•Conversion gain factor and charge collection efficiency different for high and low energy x-ray data - correction operations include offset, air and monitor correction -noise in the photoelectric image compensated by destreaking algorithm and adaptive filters

Dual energy CT scanner used in this paper passes the TSA explosive detection certification test