Phase Reversed Image Reconstruction Method of. Industrial Ultrasonic CT

Similar documents
A method and algorithm for Tomographic Imaging of highly porous specimen using Low Frequency Acoustic/Ultrasonic signals

Process Monitoring using three dimensional Computed Tomography and Automatic Image Processing

Nondestructive tests of cylindrical steel samples using the ultrasonic projection method and the ultrasound transmission tomography method

RECONSTRUCTION OF A PISTON TRANSDUCER BEAM USING MULTI-GAUSSIAN

Validation of aspects of BeamTool

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

MULTI-MODALITY 3D VISUALIZATION OF HARD-ALPHA IN TITANIUM

Recognition and Measurement of Small Defects in ICT Testing

Development and validation of a short-lag spatial coherence theory for photoacoustic imaging

Sound-speed tomography using first-arrival transmission ultrasound for a ring array

Refraction Corrected Transmission Ultrasound Computed Tomography for Application in Breast Imaging

ULTRASONIC TOMOGRAPHIC IMAGING OF DEFECTS IN INDUSTRIAL

Simple Spatial Domain Filtering

ULTRASONIC INSPECT ABILITY MODELS FOR JET ENGINE FORGINGS

Fast total focusing method for ultrasonic imaging

CT Reconstruction with Good-Orientation and Layer Separation for Multilayer Objects

Temperature Distribution Measurement Based on ML-EM Method Using Enclosed Acoustic CT System

ULTRASONIC TESTING AND FLAW CHARACTERIZATION. Alex KARPELSON Kinectrics Inc., Toronto, Canada

MEDICAL IMAGE ANALYSIS

INSPECTION USING SHEAR WAVE TIME OF FLIGHT DIFFRACTION (S-TOFD) TECHNIQUE

UMASIS, an analysis and visualization tool for developing and optimizing ultrasonic inspection techniques

Image Reconstruction in Optical Tomography : Utilizing Large Data Sets

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

A Method of weld Edge Extraction in the X-ray Linear Diode Arrays. Real-time imaging

X-ray tomography. X-ray tomography. Applications in Science. X-Rays. Notes. Notes. Notes. Notes

Certificate in Clinician Performed Ultrasound (CCPU)

Radon Transform and Filtered Backprojection

HIGH-SPEED THEE-DIMENSIONAL TOMOGRAPHIC IMAGING OF FRAGMENTS AND PRECISE STATISTICS FROM AN AUTOMATED ANALYSIS

Adaptive Focusing Technology for the Inspection of Variable Geometry. Composite Material

Advanced Image Reconstruction Methods for Photoacoustic Tomography

John R. Mandeville Senior Consultant NDICS, Norwich, CT Jesse A. Skramstad President - NDT Solutions Inc., New Richmond, WI

Wave Properties. Page 1 of 13

Supplementary materials of Multispectral imaging using a single bucket detector

Separation of specular reflection and diffraction images in Kirchhoff depth migration Faruq E Akbar and Jun Ma, SEIMAX Technologies, LP

result, it is very important to design a simulation system for dynamic laser scanning

CHAPTER 2 MEDICAL IMAGING WITH NON-IONIZING RADIATION

Wavelength Estimation Method Based on Radon Transform and Image Texture

Investigation on reconstruction methods applied to 3D terahertz computed Tomography

Image Acquisition Systems

Fresnel Zone based Frequency domain reconstruction of Ultrasonic data- Fresnel SAFT

Rapid Imaging of Microstructure using Spatially Resolved Acoustic Spectroscopy

ULTRASONIC WAVE PROPAGATION THROUGH NOZZLES AND PIPES WITH

Sizing and evaluation of planar defects based on Surface Diffracted Signal Loss technique by ultrasonic phased array

NDT OF SPECIMEN OF COMPLEX GEOMETRY USING ULTRASONIC ADAPTIVE

Biophysical Techniques (BPHS 4090/PHYS 5800)

Non-destructive diagnosis of the integrity of green wood using ultrasonic computed tomography

18th World Conference on Nondestructive Testing, April 2012, Durban, South Africa

SIMULATION OF THE UT INSPECTION OF PLANAR DEFECTS USING A GENERIC GTD-KIRCHHOFF APPROACH

Phased Array inspection system applied to complex geometry Carbon Fibre Reinforced Polymer parts

Research on ultrasonic detection of complex surfaces

VALIDATION OF THE SIMULATION SOFTWARE CIVA UT IN SEPARATED TRANSMIT/RECEIVE CONFIGURATIONS

Physics 202, Lecture 23

HIGH-PERFORMANCE TOMOGRAPHIC IMAGING AND APPLICATIONS

An Intuitive Explanation of Fourier Theory

Plane Wave Imaging Using Phased Array Arno Volker 1

High Resolution Phased Array Imaging using the Total Focusing Method

RECENT MODELLING ADVANCES FOR ULTRASONIC TOFD INSPECTIONS

Lecture 6: Medical imaging and image-guided interventions

Tomography Techniques for Acoustic Emission Monitoring

Probability of Detection Simulations for Ultrasonic Pulse-echo Testing

Photoelastic Visualisation of Ultrasonic Pulse Interactions Part 1: Compression mode in a solid

Non-Destructive Failure Analysis and Measurement for Molded Devices and Complex Assemblies with X-ray CT and 3D Image Processing Techniques

THREE-DIMENSIONA L ELECTRON MICROSCOP Y OF MACROMOLECULAR ASSEMBLIE S. Visualization of Biological Molecules in Their Native Stat e.

SIMULATION AND VISUALIZATION IN THE EDUCATION OF COHERENT OPTICS

Simulation of Multipoint Ultrasonic Flowmeter

Digital Pulse Acoustic Lensless Fourier Method for Ultrasonic Imaging

LIGHT SCATTERING THEORY

Open Access The Kinematics Analysis and Configuration Optimize of Quadruped Robot. Jinrong Zhang *, Chenxi Wang and Jianhua Zhang

3. Image formation, Fourier analysis and CTF theory. Paula da Fonseca

Assessment Schedule 2012 Physics: Demonstrate understanding of aspects of wave behaviour (90938)

Supplementary Figure 1: Schematic of the nanorod-scattered wave along the +z. direction.

International Symposium Non-Destructive Testing in Civil Engineering (NDT-CE) September 15-17, 2015, Berlin, Germany

Research on Correction and Optimization of Post-processing Imaging of Structure with Non-planar Interface Using Full Matrix Data of Ultrasonic Array

Sizing in Phased Array Technique using Diffraction and Amplitude Displacement

NUMERICAL SIMULATION OF SELF-FOCUSING OF AN ARRAY ON. Center for Quality Engineering and Failure Prevention Northwestern University Evanston, IL 60208

Adaptive Doppler centroid estimation algorithm of airborne SAR

Study on Image Position Algorithm of the PCB Detection

Application Research of Wavelet Fusion Algorithm in Electrical Capacitance Tomography

An Inspection and Measurement Technology Platform Leading the Way to More Advanced Manufacturing

Kwabena Arthur. at the. June2017. Certified by: George Barbastathis Professor Thesis Supervisor

Chapter 24. Wave Optics

Title: Advanced Methods for Time-Of-Flight Estimation with Application to Lamb Wave Structural Health Monitoring

GG450 4/5/2010. Today s material comes from p and in the text book. Please read and understand all of this material!

Novel evaluation method of low contrast resolution performance of dimensional X-ray CT

Corrosion detection and measurement improvement using advanced ultrasonic tools

Digital Image Processing

ISAR IMAGING OF MULTIPLE TARGETS BASED ON PARTICLE SWARM OPTIMIZATION AND HOUGH TRANSFORM

Scanning Acoustic Microscopy For Metrology of 3D Interconnect Bonded Wafers

Japan Foundry Society, Inc. Application of Recent X-ray CT Technology to Investment Casting field. Kouichi Inagaki ICC / IHI Corporation

Binocular Stereo Vision

3D TeraHertz Tomography

Image Thickness Correction for Navigation with 3D Intra-cardiac Ultrasound Catheter

GE s Revolution CT MATLAB III: CT. Kathleen Chen March 20, 2018

SAFT-Reconstruction in ultrasonic immersion technique using phased array transducers

GPR DATA ANALYSIS OF AIRFIELD RUNWAY USING MIGRATION VELOCITY SIMULATION ALGORITHM

Tomographic Reconstruction

2. Equipment, specimens and inspection procedures

DEVELOPMENT OF CONE BEAM TOMOGRAPHIC RECONSTRUCTION SOFTWARE MODULE

COMPLEX CONTOUR ULTRASONIC SCANNING SYSTEM APPLICATION AND TRAINING

Anatomy of common scatterpoint (CSP) gathers formed during equivalent offset prestack migration (EOM)

Transcription:

17th World Conference on Nondestructive Testing, 25-28 Oct 2008, Shanghai, China Phase Reversed Image Reconstruction Method of Industrial Ultrasonic CT Yi-Fang CHEN 1, Wen-Ai SONG 1, Ke-Yi YUAN 1 1 Department of Mechanical Engineering, Tsinghua University Being 100084, China; Phone: +86-10-62773857, Fax: +86-10-62773862 Email: chenyifang@mail.tsinghua.edu.cn, songwenai@nuc.edu.cn, yky@mails.tsinghua.edu.cn Abstract Based on various ultrasonic CT technology that have been developed, a new type ultrasonic CT is proposed. One array transducer is used, detected at only one or two position on a specimen, and then created the received signal list array. With the received signal list array, the authors obtained a new algorithm, named virtual scan, which reconstructed the image of the specimen from both the amplitude and the phase of a received signal. Dealing the entire signal array with this method, the authors got a pretty image of the specimen, so the new method is effective in the situation of the experiments. Key words: phase reversed, ultrasonic CT, image reconstruction, virtual scan 1. Introduction Generally, there are two basic types of the ultrasonic CT, i.e. transmit CT and reflection CT. As shown in figure 1, the transmit ultrasonic CT is, the emitter and receiver are face to face, the specimen is between them, and the received signal is assumed to be the ultrasonic wave transmitted along the line L ab in the specimen; and the reflection ultrasonic CT (figure 2) is, the emitter and receiver is at the same side of the specimen, the received signal is assumed to be the echo wave along the line L ab in the specimen. Different to the B-scan, while the CT working, both the transmit type and the reflection type, are need to circumrotate around the specimen, in order to get different signal from every direction [1] [2] [3] [4]. About transmit ultrasonic CT and reflection ultrasonic CT, the common assumption is the ultrasonic wave transmitted in the medium along a straight line, the same with X-ray. Then using the flight time or amplitude attenuation, the image is reconstructed, which is the distribution of the ultrasonic velocity or the absorption property in the specimen. So the calculating models are the same to the X-ray, the algorithm of the X-ray CT could also be used in these two types of ultrasonic CT, e.g. the algorithm based on fourier slice theorem,

and the filtered back projection method etc. The calculate speed is fast enough for real-time imaging, but the quality of the images are not so well, because of that in most of the material, the ultrasonic doesn t transmit in a straight way. To describe the transmit path of ultrasonic accurately, the refraction and diffraction (collectively as scattering) of the ultrasonic must be taken into account. The diffraction tomography is a technology of this kind, that is based on the fourier diffracting projection theorem, shown in figure 3. This theorem is similar to the fourier slice theorem of the X-ray CT, but the difference is, the projection data of the fourier slice theorem is transformed to a straight line belong to the fourier translation of the object in the frequency domain; or the other is transformed to a half circle belong to the object in the frequency domain. So far, almost all the ultrasonic CT are based on the principle described before, the algorithm of them are only processing with the amplitude of the receiving signal, but not considering the phase message of the signal. And all the method need to rotate the transducer or the detecting objects, or set the transducer in a circle around the detecting objects, in order to get enough data to reconstruct the image. 2. Phase Reversed Image Reconstruction Method of Industrial Ultrasonic CT 2.1 Principle 2

While the border situation, acoustic property of the medium, and the emitting position on the border are fixed, the acoustic field in the medium caused by an ultrasonic transducer is also fixed. As shown in figure 4, that s the transformation at different time of the acoustic field caused by an element belong to a phase transducer. We can obtained that if the elements of the array transducer are triggered one by one, and while an element is triggered, all the elements (including the emitting one) is receiving; when the all the elements have been triggered, a receiving signal list array is formed, the signal list array included all the information that the array transducer could get at this position. Using the signal list array we can make a virtual scan of the detecting scope of the array transducer. As the acoustic field signal at a spatial point caused by all the elements with appropriate delay to each one, is the same as the signal received by all the elements with the same delays while there is a point source at that point [5]. The spatial points or scattering points in the detecting scope could be treated as point sources, according to the positions contrast to the array transducer; we can delay the signal from the signal list array with corresponding time, that s determined by the flight time, and sum up all the delayed signal, so the acoustic field signal of the scattering point is obtained (phase reversed). While the acoustic field signal of every point in the detecting scope is calculated, the ultrasonic CT imaging is finished. Because that while calculating the image, we can choose the spatial resolution, and scan the whole detecting scope, so we called this method virtual scan. The principle of the virtual scan is shown in figure5. 2.2 Virtual scan and phase reversed image reconstruction As in figure 5, assumed the target point P is any virtual scanned point (scattering point) in the detecting scope, using an array transducer whose elements amount is N, while the element i is emitting, and all the elements is receiving, the amount of signal list can be got is N, and the signal list could be record as: Fehler! Es ist nicht möglich, durch die Bearbeitung von Feldfunktionen Objekte zu erstellen. (1) W is the signal lists when the element i is emitting, the figure6(a) is i W, i.e. the 18 element 18 emitted, and all the elements received, the x axis is sample points, and the y axis is the receiving element index. In formula (1) w ( n), i, j = 0,1,,2, Λ N 1; n = 0,1,2, Λ, M 1, represent for the signal received by element j when the element i is emitting. M is the sample points amount of time signal. If i=j, it is the signal emitted from element i and received by itself. 3

The acoustic field signal of spatial point ( x y) w (n) as: as: P, could be extracted from signal unit p ( x, y, n) = w ( n) win ( n) (2) win (n) is a time window function whose center is l, length is 2 l, l is determined ri + rj l =INT( t / t ) t = (3) C Where, C is the velocity of the ultrasonic in the medium, r and i r are shown in j P x, y, and the P x, y, t is the sampling interval. l can be calculated as: l =INT( λ /( C t) ) (4) INT (.) is the rounded function, λ is wavelength in the medium. figure 5, those are the distance between element i and the virtual scan point ( ) distance between element j and ( ) According to the actual situation, different window function could be changed. In this paper, the follow window function is used: 4

win 1 l l n l + l) ( n) = (5) 0 others As the acoustic field signal at a spatial point caused by all the elements with appropriate delay to each one, is the same as the signal received by all the elements with the same delays while there is a point source at that point [5]. The acoustic field of any virtual scanning point ( x y) P, in the detecting scope could be calculated approximately as follow: Fehler! Es ist nicht möglich, durch die Bearbeitung von Feldfunktionen Objekte zu Where, 0 n 2l. erstellen. (6) Figure 7 shows the comparison of the signal from a real scattering point (indicated as 1) and the signal from a fictive scattering point (indicated as2), in the figure 3 is the origin signal received by a single element, i.e. w (n). Select the imaging parameter from the signal calculated by formula (6), the parameter can be the maximum amplitude, the wave front amplitude, the mean amplitude, etc. The parameter is the gray value of P ( x, y) in the reconstructed image. Processed every point in the detecting scope like this, the rough image reconstruction of the detecting scope could be built up. That s the phase reversed image reconstruction. 5

This method summed up many groups of signal, so the statistics effect filtered the noise. If the target point is not a real scattering point, the gray value of it is very near to zero (figure 7). Experiments showed that this method is effective for rough imaging of the specimen. But if the scatterer is in some special shape, e.g. a cylinder cavity, the rough imaging does not go well, so the amendment is needed. The amending method included correlation analysis, wave front analysis, signal lists comparison, etc. And optimized formula (2) and formula (6), then a image with well quality would be there. For the space is limited and the amendments and optimization is complex, those will be discussed in another article. 3. Experiments The specimen tested is a titanium alloy CSK-IA specimen that is showed in figure 8, two linear array transducers named as A and B are set as shown in the figure, the area surrounded by dotted line is the detecting scope for rough imaging, image section I 1 is for array transducer A, image section I 2 is for array transducer B. In the figure, the scattering interface is indexed as interface1, interface2, etc. The array transducer A has 48 elements, and the elements area is 1 mm 20mm, frequency is 6.25MHz; the array transducer B has 25 elements, elements parameter is the same with A. The thickness of the specimen is 20mm. Using the linear array transducer A, performed virtual scan and phase reversed image reconstruction (rough imaging) in the detecting scope Image Section I 1 (showed in figure 8), figure 9 showed the imaging result(the spatial resolution of virtual scan is 1 mm 1mm ). The gray value in the image is determined by the maximum amplitude that calculated by formula (6). In figure 9, the scattering interface is imaged clearly, and the positions of the scattering interface are accurate enough at the spatial resolution of1 mm 1mm. And about the interface is not imaged, while the rough imaging is extended, those interface would come out. 6

Using the linear array transducer B, performed virtual scan and phase reversed image reconstruction (rough imaging) in the detecting scope Image Section I 2 (showed in figure8), figure 10 (b) showed the imaging result(the spatial resolution of virtual scan is 1 mm 1mm ). The gray value in the image is determined by the maximum amplitude that calculated by formula (6). In figure 10 (b), all scattering interface is imaged at the right position, but the shape of the scattering interface is not very accurate. Then the amendment method (wave front analysis etc) is used, imaging in the detecting scope Local Image Section I 3 (showed in figure10 (a)), and the result is shown in figure10 (c), the shape of the scattering interface is more clearly and accurate. 4. Conclusions The virtual scan and phase inversed image reconstruction technology is proposed in this paper. Using this technology, with a linear array transducer that s set at only one position, some well quality images were reconstructed about the titanium alloy CSK-IA specimen. 7

For this technology is still in developing, different from other Ultrasonic CT which is base on the linear assumption or weak scattering assumption, about it there are still lots of theorem and technology questions needing to be studied. Reference [1] NI Wen-lei, Review on theories and methods of Ultrasound Computed Tomography, Tomography Computerized Tomography Theory and Applications 2004, 13[3], 50-55. [2] Lu J ianfeng, Wang Shuozhong, Iterative Image Reconstruction in Reflection Mode Diffraction Tomography, Chinese Journal of Scientific Instrument, 2004, S3, 203-207. [3] Teng xia, Application of ultrasonic tomography in industrial materials, 1993, The paper for the degree of doctor of Philosophy of the Johns Hopkins University. [4] Lan Congqing, Xu Keke, etc. Application of Ultrasonic Reflection Mode Tomography to Nondestructive Evaluation, Nondestructive Testing, 1994, 16[10], 271-274. [5] Zhang Hai-lan, Theoretical acoustics, Higher Education Press, Mar. 2007, p294. 8