Energy resolved X-ray diffraction Cl. J.Kosanetzky, G.Harding, U.Neitzel

Similar documents
DUAL energy X-ray radiography [1] can be used to separate

Phase-Contrast Imaging and Tomography at 60 kev using a Conventional X-ray Tube

Scatter in an uncollimated x-ray CT machine based on a Geant4 Monte Carlo simulation. Wadeson, Nicola and Morton, Edward and Lionheart, William

F3-B: Multi-modal Imaging for Portal-based Screening Multispectral Methods for Diffraction Tomography

Validation of GEANT4 for Accurate Modeling of 111 In SPECT Acquisition

Introduction to Biomedical Imaging

Evaluation of Spectrum Mismatching using Spectrum Binning Approach for Statistical Polychromatic Reconstruction in CT

Scatter Correction Methods in Dimensional CT

Enhanced material contrast by dual-energy microct imaging

Scattering/Wave Terminology A few terms show up throughout the discussion of electron microscopy:

Simulation of Mammograms & Tomosynthesis imaging with Cone Beam Breast CT images

Medical Physics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.

Ch. 4 Physical Principles of CT

Impact of X-ray Scatter When Using CT-based Attenuation Correction in PET: A Monte Carlo Investigation

Image Acquisition Systems

Artifact Mitigation in High Energy CT via Monte Carlo Simulation

Spectral analysis of non-stationary CT noise

DUE to beam polychromacity in CT and the energy dependence

Contrast Enhancement with Dual Energy CT for the Assessment of Atherosclerosis

Digital Scatter Removal in Mammography to enable Patient Dose Reduction

CT vs. VolumeScope: image quality and dose comparison

DIFFRACTION 4.1 DIFFRACTION Difference between Interference and Diffraction Classification Of Diffraction Phenomena

ISOCS Characterization of Sodium Iodide Detectors for Gamma-Ray Spectrometry

arxiv: v2 [cond-mat.mtrl-sci] 5 Jan 2010

Simulation of Internal Backscatter Effects on MTF and SNR of Pixelated Photon-counting Detectors

X-ray simulation and applications

Proton dose calculation algorithms and configuration data

ELECTRON DOSE KERNELS TO ACCOUNT FOR SECONDARY PARTICLE TRANSPORT IN DETERMINISTIC SIMULATIONS

Combining Analytical and Monte Carlo Modelling for Industrial Radiology

DEVELOPMENT OF CONE BEAM TOMOGRAPHIC RECONSTRUCTION SOFTWARE MODULE

REMOVAL OF THE EFFECT OF COMPTON SCATTERING IN 3-D WHOLE BODY POSITRON EMISSION TOMOGRAPHY BY MONTE CARLO

A PRACTICAL ALGORITHM FOR RECONSTRUCTION FROM X-RAY

Hidenobu Tachibana The Cancer Institute Hospital of JFCR, Radiology Dept. The Cancer Institute of JFCR, Physics Dept.

Crystal Quality Analysis Group

Chapter 35 &36 Physical Optics

Optics Vac Work MT 2008

Use of a laser beam with an oblique angle of incidence to measure the reduced scattering coefficient of a turbid medium

Spiral CT. Protocol Optimization & Quality Assurance. Ge Wang, Ph.D. Department of Radiology University of Iowa Iowa City, Iowa 52242, USA

mywbut.com Diffraction

Formula for the asymmetric diffraction peak profiles based on double Soller slit geometry

3/27/2012 WHY SPECT / CT? SPECT / CT Basic Principles. Advantages of SPECT. Advantages of CT. Dr John C. Dickson, Principal Physicist UCLH

Chapter 38. Diffraction Patterns and Polarization

Limitations in the PHOTON Monte Carlo gamma transport code

Convolution-Based Truncation Correction for C-Arm CT using Scattered Radiation

Simplified statistical image reconstruction algorithm for polyenergetic X-ray CT. y i Poisson I i (E)e R } where, b i

Today s Outline - April 17, C. Segre (IIT) PHYS Spring 2018 April 17, / 22

Techniques of Noninvasive Optical Tomographic Imaging

Spectrographs. C. A. Griffith, Class Notes, PTYS 521, 2016 Not for distribution.

Diffraction at a single slit and double slit Measurement of the diameter of a hair

Diffraction. Single-slit diffraction. Diffraction by a circular aperture. Chapter 38. In the forward direction, the intensity is maximal.

A closer look at CT scanning

MEDICAL IMAGING 2nd Part Computed Tomography

Non-Stationary CT Image Noise Spectrum Analysis

Michelson Interferometer

Chapter 36. Diffraction. Dr. Armen Kocharian

Empirical cupping correction: A first-order raw data precorrection for cone-beam computed tomography

ML reconstruction for CT

UNDERSTANDING CALCULATION LEVEL AND ITERATIVE DECONVOLUTION

Moscow-Bavarian Joint Advanced Student School 2006 / Medical Imaging Principles of Computerized Tomographic Imaging and Cone-Beam Reconstruction

CT Systems and their standards

SIMULATION AND VISUALIZATION IN THE EDUCATION OF COHERENT OPTICS

Radiology. Marta Anguiano Millán. Departamento de Física Atómica, Molecular y Nuclear Facultad de Ciencias. Universidad de Granada

8/2/2016. Measures the degradation/distortion of the acquired image (relative to an ideal image) using a quantitative figure-of-merit

Metal Artifact Reduction CT Techniques. Tobias Dietrich University Hospital Balgrist University of Zurich Switzerland

Digital Image Processing

Detailed analysis of scatter contribution from different simulated geometries of X-ray detectors

Applying Hounsfield unit density calibration in SkyScan CT-analyser

Design and performance characteristics of a Cone Beam CT system for Leksell Gamma Knife Icon

Monte Carlo Simulation for Neptun 10 PC Medical Linear Accelerator and Calculations of Electron Beam Parameters

Physical Optics. You can observe a lot just by watching. Yogi Berra ( )

Chapter 36. Diffraction. Copyright 2014 John Wiley & Sons, Inc. All rights reserved.

Modeling the ORTEC EX-100 Detector using MCNP

Time-Resolved measurements by FEL spontaneous emission: A proposal for sub-picosecond pumps & probe structural and spectrometric investigations

Simple Spectrograph. grating. slit. camera lens. collimator. primary

Lab 5: Diffraction and Interference

Diffraction and Interference of Plane Light Waves

NON-COLLIMATED SCATTERED RADIATION TOMOGRAPHY

specular diffuse reflection.

Financial disclosure. Onboard imaging modality for IGRT

Low-Dose Dual-Energy CT for PET Attenuation Correction with Statistical Sinogram Restoration

Diffraction and Interference of Plane Light Waves

Index. aliasing artifacts and noise in CT images, 200 measurement of projection data, nondiffracting

Application of MCNP Code in Shielding Design for Radioactive Sources

1. Polarization effects in optical spectra of photonic crystals

Beam Attenuation Grid Based Scatter Correction Algorithm for. Cone Beam Volume CT

MEDICAL IMAGE ANALYSIS

Reducing the influence of environmental scattering in industrial computed tomography by system optimisation and correction algorithms

Basics of treatment planning II

Abstract. 1 Introduction

Advanced Image Reconstruction Methods for Photoacoustic Tomography

Journal of X-Ray Science and Technology 23 (2015) DOI /XST IOS Press

Transmission Electron Microscopy 2. Scattering and Diffraction

Cardiac Dual Energy CT: Technique

(Refer Slide Time: 00:11)

Optimization of scanner parameters for dual energy micro-ct

Improvement of Efficiency and Flexibility in Multi-slice Helical CT

Influence of electron density spatial distribution and X-ray beam quality during CT simulation on dose calculation accuracy

Deep Scatter Estimation (DSE): Feasibility of using a Deep Convolutional Neural Network for Real-Time X-Ray Scatter Prediction in Cone-Beam CT

LAB DEMONSTRATION COMPUTED TOMOGRAPHY USING DESKCAT Lab Manual: 0

Theoretical Investigations of Tomographic Methods used for Determination of the Integrity of Spent BWR Nuclear Fuel

Transcription:

Proc. Of SPIE Vol 0626, Application of Optical Instrumentation in Medicine XIV and Picture Archiving and Communication Systems(PACS IV) for Medical Applications IV, ed. S J Dwyer/R H Schneider (Jan 1986) Energy resolved X-ray diffraction Cl J.Kosanetzky, G.Harding, U.Neitzel Philips GmbH Forschungslaboratorium Hamburg Vogt-Kdlln-Str. 30, 2000 Hamburg 54, W. Germany Abstract Low angle x-ray scattering at diagnostic energies in narrow beam geometry is due to coherent (Rayleigh) and incoherent (Compton) scattering. It has been found that single coherent scatter dominates below IO deg. Interference effects with coherent scatter leads to diffraction patterns which differ from material to material. A technique, analogous to conventional CT, allows the reconstruction of the 20 distributipn20f the x-ray diffraction properties within an object slice, as demonstrated recently 9. Use of the bremsstrahlung spectrum of an x-ray tube permits short measuring times, but causes a significant energy broadening of the diffraction curves, thus deteriorating the maximum contrast obtainable by diffraction imaging. With energy resolved photon counting of the scattered x-ray quanta this broadening can be corrected, yielding an image contrast approaching that of a monochromatic x-ray source. Introduction ---- Conventional x-ray CT techniques rely on the detection of transmitted x-ray quanta. The total attenuation of the incident radiation by the object is due to photoelectric absorption, Compton and Rayleigh scattering in the normal diagnostic energy range (30.-150. KeV). Elastic (Rayleigh) scatter contributes only 1X to the total attenuation and is therefore normally neglected. But several authors have demonstrated rtckently that elastic scatter dominates the low angle x-ray scatter below about IO deg. 3. The pattern resulting from interference phenomena of this elastic scattering are characteristic for the material radiated. This offers the chance for better tissue characterisation than with normal transmission CT. The angular positions of the measured diffraction maxima depend on the x-ray energy. Therefore, use of a bremsstrahlung spectrum from an x-ray tube results in short measuring times due to the high x-ray intensities but introduces an energy broadening of the scatter curves. We present a method to correct the measurements for this broadening by energy resolved photon counting. Method The aim of this method is to image a 20 section within an object by x-radiation. The measured parameter is the angular differential cross-section for elastic scatter da/dq. As in normal CT imaging the spatial distribution of this cross-section can be reconstructed from a complete set of measured line integrals (projections). Because da/dq is a function of the scatter angle, a number of different images can be reconstructed, representing the angular variation of elastic scatter for each pixel. Fig. 1 explains the basic concept of our imaging method. The radiation of an x-ray tube is collimated into a pencil beam which penetrates the object. Instead of only one detector for transmission measurements a number of detector elements are arranged on either side of the central detector, or slternatively a single detector is shifted step by step to measure the scattered x-ray intensity as a function of the scatter angle. The signal of the i-th detector can be written as: Si Z IO I Tp * n0 * (do/dq) * (dq/da) * TB dl with: IO = incident intensity TP = attenuation before scatter event 0 = number of molecules per unit volume dq/da q solid angle corresponding to the detector area TB = attenuation of scattered radiation. SPIE Vo/. 626 Medicine XIV/PACS IV/l 986J/ 137

To correct the measurements for attenuation along the beampath within the object we made the following assumption. Due to the small scatter angle the deviation of the scattered x-ray quanta from the primary beam path is rather small and we approximate the total attenuation of the scattered intensity by: Ty = Tp * TS with TT = attenuation of the transmitted beam. Therefore, normalisation against the transmitted intensity corrects for attenuation effects. Because we have a background of single Compton and multiple scatteri g we correct 3 our detector readings for this background according to Monte Carlo calculations. Reconstruction is done by a standard filtered backprojection algorithm, yielding a set of images at different scatter angles. Energy broadenineof the scatter curves --- The technique described so far yields the exact scatter curves only for monochromatic radiation. In the case of polyenergetic radiation the diffraction patterns at different energies are not correctly superposed. A pattern at energy EO will contract in angular space as the energy is increased to El according to: x = EO * sin(b0/2.) = El * sin(b1/2.) (3) with x = prop. to the momentum transfer 0 q scatter angle. Hence the use of a polyenergetic x-ray source leads to a blurring of the diffraction structure. The fine structure is washed out and it is now much more difficult to differentiate between materials, see Fig. 2. Use of a monochromatic source like a radio nuclide would remove this blurring but increase the measurement time considerably. Correction of the energy blurring Even with a polyenergetic source one can obtain sharp diffraction pattern as if measured with monochromatic radiation by the following procedure: Consider a specific detector position Di in Fig.1 which corresponds for a specified object element (voxel) to a certain scatter angle Bi. The energy of the incident x-ray quanta varies over the whole range of the tube, so that the diffraction intensity at position Di is the integral over a broad range of x values (eq. 3). The total diffraction pattern is a superposition of the patterns for each energy, see Fig. 3. If the detector is energy sensitive, it is possible to count the scattered quanta into different channels according to their individual energies El,EZ,E3 etc. Each energy channel corresponds to a specific x channel depending on the scatter angle which corresponds to the detector position. So one can reorder the counted x-ray quanta into x channels. After completion of the whole measurement a set of x projections is available for reconstruction providing the wanted variation of elastic scatter cross-section for each pixel. Experimentalstem and results ---- We speculated earlier that the diffraction properties of materials may allow better characterisation and detection than use of transmitted radiation alone. To validate this speculation, we performed a simple measurement. Our detection system comprises a 1. generation CT scanner. To sample the complete set of projections required the object is translated and rotated at fixed tube - detector positions. We use a Philips MCN 165 x-ray tube as a radiation $ource. The detector system for normal energy integrated measurements is described elsewhere. Fig. 4 gives the results of a typical diffraction scan. It shows the images a phantom scan, which consists of a Lucite block with several holes filled with different sugar solutions. In addition to the normal transmission image one gets several scatter images, which show different contrasts. In the left upper corner of the scatter images particular sugar solution is evident which is completely invisible in the transmission image, owing to the fact that the total attenuation of this sugar solution and Lucite are identical. This result demonstrates that x-ray diffraction CT can provide useful additional information to a normal CT scan. The variation of image contrasts are in good agreement with energy-blurred scatter curves, Fig. 2b. 138 / SPIE Vol. 626 Medicine XIV/PACS IV (1986)

There are 3 sources of blurring the diffraction curves: 1. energy spread of the incident radiation; 2. angular width of the detector; 3. angular width of the object. The last problem can be solved using an iterative reconstruction technique. The second source of blurring is trivial and can avoided using small detector aperture. To show that the first problem can be solved for an x-ray source when energy sensitive detection is performed, we made energy resolved measurements with a Ge detector, which could be scanned by a stepping motor. The output of the detector was fed into a spectroscopy preamplifier (Ortec 472) and then into a multi-channel analyser (Canberra MCA 8100). The measured spectra of the scattered radiation were transferred into the memory of a LSI II/73 computer for further processing. To prove the feasibility of contrast enhancement, we measured the angular distribution of scattered radiation from a piece of Al Icm * Icm * Icm substending an angle of 0.1 deg. with a detector aperture of 1 mm. If one combines the good angular resolution with the energy-resolved processing one gets a very sharp scatter peak. Results are given in Fig. 5, which showes the gain in resolution if one transferms the energy resolved data into the corresponding pattern at a specific wanted energy. Here we choose 60 kev, which is the mean energy of our spectrum. At the moment we are not able to introduce this contrast enhancement into our imaging technique because one has to implement not only the energy resolution but one has increase the angular resolution to the same degree, otherwise a bad angular resolution would destroy all the gain obtained. A sufficient signal/noise ratio in combination with a short measuring time can be obtained by integration of the scattered radiation in annuli around the central beam, because the spatial distribution of the scattered radiation is circularly symetric around the primary beam for amorphous tissues. This requires a new detector design and will be a task for future activities. Conclusion We presented a new imaging method : X-ray Diffraction CT, which may offer useful additional information. Due the polychromatic radiation source the maximum obtainable contrast is reduced. We developed a solution for correcting this energy blurring by energy resolved photon counting. First results prove the feasibility of our proposed solution. References 1. Harding G., Kosanetzky J., Neitzel U., 1985, Phys. Med. Biol., 30, 183. 2. Harding G., Kosanetzky J., Neitzel U., 1985, Proc. XIV Int. Conf. Med. and Biol. Eng., 238 3. Johns P.C., Yaffe M.J., 1983, Med. Phys., IO,40 4. Muntz E.P., Fewell T., Jennings R., Bernstein H., 1983, Med. Phys., 10,819 5. Neitzel U., Harding G., Kosanetzky J., 1985, accepted for publication in Phys. Med. Biol. primary beam, transtatton direction object Figure 1. Schematic drawing of a diffraction CT system SPIE Vol. 626 Medicine XIV/PACS IV (1986) / 139

i-i I I I 60 kev water -.-.-.-.-.-.-._.-.r-- scatter 5O angle loo 120 kvp spectrum water... plex.... i...... polycarbo. - - -- - ;otysty ren -.-.-.-.-.-.- O0 scatter 5O angle loo Figure 2. a) Scatter curves of different plastics for monochromatic x-radiation b) Scatter curves of the same plastics for polychromatic x-radiation 140 / SPIE Vol. 626 Medicine XIV/PACS IV (1986)

x -I-.- cn 5 C.- t /--- 8 \,* *- 0 \ /. \ 8 & total \ \ w.a c / O0 scatter angle Figure 3. Blurring of diffraction patterns by energy integration. The diffraction patterns for three different energies are presented together with the resultant total scatter curve Figure 4. Results of a diffraction CT scan: 1 Transmission and 9 scatter images at different scatter angles of a Lucite phantom with different sugar solutions are shown (scatter angles: 1.5, 1.7, 2.3, 4.1, 4.5, 5.0, 5.5, 6.1 ) 2.7, SHE Vol. 626 Medicine XIV/PACS IV (1986) 1 14 1

I! I I 1 I 1 I 1 0 0 + + 0 + 0 9,,+Q-,. c,+ci.+u.&& ~+++++t+,+,,.. I, I O0 5O loo scatter angle,' Figure 5. Scatter curves of a piece of Al (Icm * Icm * Icm) measured by a Ge detector with energy integration as well as with energy resolution (0 = energy integrated, + q energy resolved, processed for 60 kev) 142 / SPIE VoL 626 Medicine XIV/PACS IV (1986)