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DATE DUE DATE DUE DATE DUE 2/05 p:/ClRC/DateDue.indd-p.1 EVALUATION OF APPLICATORS IN ROBOTICS SYSTEM FOR CHEST WALL RECURRENCE BY FDTD SIMULATION By Ruihua Ding A THESIS Submitted to Michigan State University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Department of Electrical and Computer Engineering 2006 ABSTRACT EVALUATION OF APPLICATORS IN ROBOTIC SYSTEM FOR CHEST WALL RECURREN CE BY FDTD SIMULATION By Ruihua Ding Two kinds of applicators for hyperthermia on chest wall recurrence are evaluate by simulation in this thesis. One applicator is waveguide including 10m by 10cm and 10cm by 15cm operating at 915MHz, and the other is a 433MHz spiral antenna with a radius of 4.5720m. The simulations perform E—field calculations with the finite difference time domain (FDTD) method. In these 3D F DTD simulations, the patient models are derived from CT images, where material properties are assigned to tu- mor, skin, fat, and muscle tissues. The thickness and temperature of the water bolus and the position of the applicator are adjusted in these simulations, and a parametric study is performed on the resulting 3D patient model. Results show that the 433MHz spiral antenna generates larger thermal dose when the tumor is near the skin surface. For each applicator, the simulation results suggest the corresponding optimal con— figuration for different tumor target locations on the chest wall. Future efforts will incorporate these results into a comprehensive treatment planning system that opti- mizes the robot arm trajectory and combines these results with 3D visualization of static and dynamic temperature distributions on the chest wall. © 2006 Ruihua Ding All Rights Reserved Dedicate the work to my parents. iv ACKNOWLEDGMENTS I would like to thank my thesis supervisor, Dr. Robert McGough, for giving me the chance to explore a research career in the field of biomedical applications. His continual support, technical insight, and dedication to this research has made this opportunity most enjoyable. I would also like to thank Prof Leo Kemple, Edward Rothwell and Shanker Bal- asubhramanian at the Michigan State University for being so accessible and helpful, for the guidance they provided during this research project, and for taking the time to explain the practical and clinical aspects of electromagnetics theory. For providing all the clinical results and the data for simulation modelling, i thank the radiology department at Duke university, and also my lab fellows for being very helpful and supportive. All the collegues from the Biomedical Ultrasound and Electromagnetic Lab (BUEL) give me great support for the research and thesis writing. TABLE OF CONTENTS LIST OF TABLES ........................... viii LIST OF FIGURES .......................... ix 1 Introduction 1 1.1 Hyperthermia for Breast Cancer ..................... 1 1.2 Existing HT Applicators ......................... 2 1.3 Robotic System .............................. 3 2 FDTD Modeling Techniques 5 2.1 Maxwell’s Equations and the Yee Cell .................. 5 2.2 Boundary Condition: Perfectly Matched Layer (PML) ......... 8 2.3 PML for High Contrast Electromagnetic Material Model ....... 11 2.4 Locally Conformal Models of Curved Surfaces ............. 12 2.5 Simulation Models ............................ 13 2.5.1 Phantom Model from CT Images ................ 13 2.5.2 Model from the Patient ...................... 15 3 The Optimization of System Parameters 21 3.1 BioHeat Transfer Equation (BHTE) ................... 21 3.2 Thermal Dose ............................... 23 3.3 Optimization Object and Criteria .................... 23 4 Applicator Heating Characteristics for Different 'Ihmor Pattern and Location 26 4.1 System Description and Model ...................... 26 4.1.1 Superficial Hyperthermia Applicators .............. 26 4.1.2 Water Bolus and Air Gap .................... 29 4.2 Simulation Result of Phantom Model with Different Thickness of Tu- mor Layer ................................. 30 4.2.1 Waveguide Heating Effect .................... 31 4.2.2 Spiral Antenna Heating Effect .................. 35 4.3 Simulation Result of Tumor on Different Location .......... 39 vi 5 System Parameters Optimization Results for Spiral Antenna and Waveguide 51 5.1 Heating Effect of Spiral Antenna and Opimization ........... 52 5.2 Heating Effect of Waveguide and Opimization ............. 55 5.2.1 Water Bolus Only ......................... 56 5.2.2 Air Gap Only ........................... 57 5.2.3 Water Bolus and Air Gap .................... 59 6 Conclusion and Future Work 67 6.1 Conclusion ................................. 67 6.2 Future Work ................................ 69 BIBLIOGRAPHY ........................... 70 vii 2.1 3.1 5.1 5.2 5.3 5.4 5.5 5.6 LIST OF TABLES Parameters of Material and Human Tissue in FDTD Model. ..... Parameters of Material and Human Tissue in FDTD Model. ..... Parameters Study for Power Scale when Water Temperature is 40°C Parameters Study for Power Scale when Water Temperature is 41°C Parameters Study for Power Scale when Water Temperature is 42°C Parameters Study for Water Bolus Thickness when Water Temperature is 42°C .................................. Parameters Study for Air Gap Thickness when Air Temperature is 37°C ................................... Parameters Study for Water Bolus Thickness when Water Temperature is 405°C ................................. viii 53 53 53 1.1 2.1 2.2 2.3 2.4 2.5 2.6 4.1 4.2 LIST OF FIGURES Demonstration of the robotic arm movement and the modeling coor- dinates for human body ......................... Cross section of the FDTD space lattice illustrating a PEC boundary diagonal with the cells ........................... One typical figure of CT images, based on which the phantom model is derived. ................................ Two orthogonal CT images demonstrate the 3D model derived from CT scans. Left figure shows the xz plane, while right figure shows the yz plane. From the BOTTOM TO TOP, the different layers are water, skin, tumor, fat (in grey), and muscle (in white). The tumor phantom is 3cm inserted under the skin. ..................... One typical figure of CT images obtained from the patient with chest wall recurrence. The white circle in this figure illustrate the possible tumor location. .............................. Demonstration of 3D Anatomical Model Derived from Patient CT Im- ages For Simulation. The green mesh represents the external contour. The red mesh shows the tumor region. The blue spiral on the left fig- ure illustrates the spiral antenna’s location, while the rectangular on the right figure illustrates the waveguide’s location. .......... CT images that define the 3D patient model. Left figure shows the xz plane, while right figure shows the yz plane. From the BOTTOM TO TOP, the different layers are water, skin, tumor, fat (in grey), and muscle (in white). The tumor is represented by a 1cm thick phantom inserted under the skin. ......................... Illustration of the spiral antenna applicator. .............. One figure on the xz plane of the human model based on the CT image with tumor and water bolus phantom .................. ix 18 19 30 4.3 4.4 4.5 4.6 4.7 4.8 4.9 4.10 4.11 The simulated temperature distribution on the xz plane and yz plane in the center of the applicator by F DTD. The correspondent tumor layer is lem. The applicator applied here is a 10cm by 10cm waveguide working on 915MHz ............................ The simulated temperature distribution on the xz plane and yz plane in the center of the applicator by FDTD. The correspondent tumor layer is 2cm. The applicator applied here is a 10cm by 10cm waveguide working on 915MHz ............................ The simulated temperature distribution on the xz plane and yz plane in the center of the applicator by FDTD. The correspondent tumor layer is 3cm. The applicator applied here is a 10cm by 10cm waveguide working on 915MHz ............................ The simulated temperature distribution on the xz plane and yz plane in the center of the applicator. The tumor layer is 1cm. The applicator applied here is a 4.572cm radius spiral antenna working on 433MHz . The simulated temperature distribution on the xz plane and yz plane in the center of the applicator. The tumor layer is 2cm. The applicator applied here is a 4.572cm radius spiral antenna working on 433MHz . The simulated temperature distribution on the xz plane and yz plane in the center of the applicator. The tumor layer is 3cm. The applicator applied here is a 4.572cm radius spiral antenna working on 433MHz . The simulated temperature distribution on the xz plane and yz plane in the center of 10cm by 10cm waveguide. The maximum temperature is 70C. Model is derived from the REGION ONE in Fig.1.l with 1cm tumor layer and 3cm water. ....................... The simulated temperature distribution on the xz plane and yz plane in the center of 10cm by 10cm waveguide. The maximum temperature is 70C. Model is derived from the REGION TWO in Fig.1.1 tissue with lem tumor layer and 3cm water. .................... The simulated temperature distribution on the xz plane and yz plane in the center of 10cm by 10cm waveguide. The maximum temperature is 7°C. Model is derived from the REGION THREE in Fig.1.1 tissue with lcm tumor layer. .......................... 41 42 43 44 45 46 48 4.12 The simulated temperature distribution on the xz plane and yz plane 5.1 5.2 5.3 5.4 in the center of waveguide. The maximum temperature is 7°C. Model is derived from the REGION FOUR in Fig.1.1 tissue with lcm tumor layer and 3cm water. .......................... The simulated temperature distribution on the xz plane and yz plane in the center of the applicator. The model is derived from patient CT images. The applicator applied here is a 4.572cm radius spiral antenna working on 433MHz ............................ The simulated temperature distribution on the xz plane and yz plane in the center of the applicator. The model is derived from patient CT images. The applicator applied here is a 100m by 15cm of waveguide operating on 915MHz. Only water bolus exists in the system ..... The simulated temperature distribution on the xz plane and yz plane in the center of the applicator. The model is derived from patient CT images. The applicator applied here is a 10cm by 150m of waveguide operating on 915MHz. Only air gap exists in the system. ....... The simulated temperature distribution on the xz plane and yz plane in the center of the applicator. The model is derived from patient CT images. The applicator applied here is a 10cm by 15cm of waveguide operating on 915MHz. Only air gap exists in the system. ....... xi 63 64 65 66 CHAPTER 1 Introduction 1.1 Hyperthermia for Breast Cancer Among all the cancer-related deaths of women, breast cancer ranks as the second cause, with lung cancer as the first one. According to American Cancer Society report in 2005, 211,240 new cases of invasive breast cancer are estimated to be diag- nosed among women and breast cancer would lead to the death of 40,410 women[1]. Despite the treatment, cancer cells may grow again and this phenomenon is referred to as recurrence. About 5% to 40% of breast cancer patients would have chest wall recurrence (CWR) after mastectomy, which is followed by distant metastasis and death. The current survival rate from chest wall recurrence is only about 25% to 30%. Research shows that patients with CWR after 24 months have an optimistic prognosis, especially when they are treated by radiotherapy. Many patients with chest wall recurrence usually can not accept the full dose of radiotherapy because they have already been given the maximum radiation dose. Hyperthermia investiga- tions have shown that cancer cells are more selectively sensitive to heat than normal cells. With the hyperthermia, there are more patients with tumors shrink completely with recurrent cancer than radiation treatment alone [2]. 1.2 Existing HT Applicators The existing applicators for superficial hyperthermia have advantages and disadvan- tages. The microwave waveguide applicator, usually a rectangular waveguide excited by a monopole feed, is a basic electromagnetic method for providing superficial hyper- thermia. The dimensions of the waveguide are selected so that a strong TEIO mode propagates at the chosen frequency. TElO mode is preferred because the electric field is oriented tangential to the different tissue interface, that can minimize the overheat— ing of fat-muscle tissue interface due to the high resistance fat in parallel to the low resistance muscle or tumor layer [3] [4]. However, the field pattern of the standard waveguide is not uniform. Although later the horn waveguide was developed for a more uniform field pattern, they still suffered from being too large to effectively cover large regions of tissue over contoured treatment sites. The spiral antennas highly focus on the center of the spiral. To smooth out the centered energy to achieve useful heating over large area, a thick water bolus is required, which limits its use near complex contoured anatomy and increases setup complexity and the power required [5]. Inductive-loop current sheet applicator [6] which can be connected together in hinged flexible arrays for contoured surfaces, is more compact than waveguide and horn applicators but requires greater care when used in arrays to avoid under or overheating the area between the adjacent apertures. Contact Flexible Microstrip Applicator (CFMA) has the ability to conform the contoured treatment sites, but it is a single channel device wihtout the ability to shape the specific absorption rate (SAR) pattern [8], [9] [7]. Conformal Microwave Array (CMA) is an array of Dual Concentric Conductor (DCC) microstrip patch antennas printed on very thin (9mm) and flexible printed circuit board(PCB) material. The feedline network needs lots of effort to build and control [10] [11] [12]. 1.3 Robotic System - I, \ '5 gfif I r ' . “a “3&1 “I" ‘ ;-. " I; "‘a 4“- ' .tJ ‘ ‘ . .. , l) If "T“ ~ '” .7 ,r' ,7 :f t“ ’ _ _ .7‘.‘ Figure 1.1. Demonstration of the robotic arm movement and the modeling coordinates for human body All problems discussed in Sec.1.3 for existing HT applicators are caused by the non-uniform heating. The designs of applicator are getting more complexed for more uniform heating. For example, there are arrays of spiral antenna, complicated wa- ter bolus system. It can improve the heating effect but also increase the difficulty for fabrication and operation. In this paper, a robotically controlled prototype mi- crowave system proposed achieve the uniform heating with the help of a robotic arm movement without increasing the complexity of electromagnetic applicator design. The prototype microwave robotic system for treating the chestwall recurrence is com- posed of a radio frequency(RF) applicator attached to a flexible robotic arm, shown as Fig. 1.1. The robot can repeat the desired scanning path throughout the thermal therapy session, automatically adjusting the treatment parameters in response to pa— tient motion. The robotic movement enhances heat delivery across large areas and enables conformal thermal therapy for postmastectomy chestwall recurrence. The following chapters focuses on studying the applicators which are going to be used in the robotic system later. One of them is 10cm by 15cm dimension rectangular waveguide working at 915MHz with the TE10 mode. Another is 4.725cm radius spiral antenna operating at 433MHz with a 3mm substrate and a excitation probe inserted into the center of the substrate. Chap. 2 introduces how the models for simulation derived from CT images, which is the start point of F DTD simulation. It include all the key techniques for FDTD simulation for this specific biomedical problem. For the best thermal dose, two parameters of this hyperthermia system are studied. Chap. 3 introduces the optimization objects, goals and methods. Chap.4 describe the two applicators effect on tumors with varied thickness and location. The models in this chapter are derived from CT scans from Radiology Department of Michigan State University. There are also patients CT images obtained from Duke University Radio Oncology Department. Models derived from these patients are used for studying the optimization of system parameters. The optimization are described in Chap.5. And Chap.6 give conclusion for all the simulation results obtained in the thesis and give the outline for future work. CHAPTER 2 FDTD Modeling Techniques The method used for simulating the power deposition of the applicators is finite- difference time-domain(FDTD) method [13], which is widely used for the simulation of hyperthermia applicators[14]. With the known power deposition distribution, the temperature distribution can be obtained by the bio-heat transfer equation(BHTE) [15]. The thermal dose, which is based on the temperature distribution, is used to evaluate the effectiveness of hyperthermia applications. The FDTD method is a numerical solution for Maxwell’s curl equations, which are based upon volumetric sampling of the unknown electric and magnetic field within and surrounding the structure of interest over a period of time [13]. The key modeling techniques are introduced below. 2.1 Maxwell’s Equations and the Yee Cell The time-dependent Maxwell’s equations are given in differential form by Q 8t =—VxE‘—1l71 (2.1) 8D — — —= — 2.2 at VxH J ( ) V-D=0 (2.3) V.B=0 (2.4) All the symbols in 2.1-2.4 are defined as: E electric field(volts/ meter) D electric flux density(coulombs/meter2) H magnetic field(amperes/ meter) B magnetic flux density (Weber/meter2) .7 electric current density(amperes/meter2) M equivalent magnetic current density (volts/meter2) discretization In linear, isotropic materials, the relationship between D, j and E, B, M and If are: D = 5E = ErEOE; B 2 pH = #rHOH (2.5) j = jsource + 0E; M = Msource + UI’H (2-6) where E : electrical permittivity(farads/ meter) er : relative permittivity(dimensionless scalar) 50 : free—space permittivity(8.845 x 10'12farads/ meter) u : magnetic permeability(henry/ meter) Hr : relative permeability(dimensionless scalar) #0 : free-space permeability(47r x 10'7henry/meter) a : electric conductivity(semen’s/ meter) * a : equivalent magnetic loss(ohms/meter) Substitute 2.5 and 2.6 into 2.1 and 2.2, Maxwell’s curl equations becomes: 0}? 1 - 1 - * _ ‘5; = —/—[,V X E — l—L (Alsourcc 'I" U H) (2.7) 815': 1 - 1 _ _ ’87 : EV X H — E (Jsourcc + (TB) (2.8) In Cartesian coordinates, all the vector components in 2.7 and 2.8 can be decomposed into three scalar components. 3; = f- 8—531 — ‘93 -— (Atom. + also] (2.9a) 6%: = ,3,- if; — 951:3 - (MSWrccy + 0*Hy): (2.9b) 6;? = i- $5;- - 63—6? - (Msourcez + O‘sz (2-90) 6%"- = i [all] - 965} — (Jsourcex + aEx)_ (29d) 951 = % [Egg-c — g?- - (Jsourccy + 05y): (2-90) gfi — g [9,9511 — 98% — (Jsoumez + 0E2) (29f) In 1966, Kane S. Yee developed central difference approximation for Maxwells curl equatons shown in Equ.2.9a to 2.9f. The finite-difference expressions for both space and time derivatives are simply programmed with second-order accuracy in the space and time increments. Function 11 of space and time is represented as u(iA:r,jAy, kAz, nAt) = 11% k (2.10) where At is the time increment, assumed uniform over the observation interval, and n is an integer. Yee’s expression for the first partial space derivative of u in x direction can be written as: an . . 5;(zA:c,JA3/, kAz, nAt) -_— (u?+1/2’j,k — “fl/2,j,k)/(AI) + O[(A:r)2] (2.11) where :l:1/2 denotes a space finite—difference over :t1/2Ax, meaning increment in the x direction. Yee’s expression for the first partial time derivative of u at the fixed space point can be written as: Bu . . +1 2 -1 2 B—t-(zAxJAy, kAz,nAt) = (ufj,k/ - uELk/ )/(A:1:) + O[(At)2] (2.12) where :l:l / 2 denotes a time finite-difference over :l:1/2At, meaning increment in time. Based on the Yee cell theory, the central difference approximation for Maxwells curl equatons in the Cartesian coordinate can then be written in the form of finite differ- ence equations. 2.2 Boundary Condition: Perfectly Matched Layer (PML) In FDTD models for electromagnetic wave interaction problems in unbounded regions, an absorbing boundary condition (ABC) is introduced at the outer lattice boundary to simulate the extension of the lattice to infinity. In 1994, JP. Berenger’s has introduced a highly effective absorbing-material ABC called the perfectly matched layer(PML) [16]. Any plane waves of arbitrary incidence, polarization and frequency are matched at the boundary and can be ideally absorbed by this layer. To this end, Berenger derived a split-field formulation of Maxwell’s equations where each vector field component is split into two orthogonal components. Each of the 12 resulting components is expressed as satisfying a coupled set of first-order partial differential equations. By choosing loss parameters consistent with a dispersionless medium, a perfectly matched planar interface is derived. In cartesian coordinates, the six field vector components Ex, E ,Ez, Hz, Hy and H 2 yield 12 subcomponents denoted as Exy,Exz,ny,Eyz,sz,Ezy,ny,sz,ny,Hyz,Hzx,sz. The three- dimensiona1(3D) time-domain Maxwell’s equations for Berenger’s split-field PML are: 65,, 6t 05x2 8t aEyz 6t 0ny at asz at 652, E ‘I’ UyExy 5 + UzExz E + UzEyz E 'I' (7xny E 'I' Uszx E 6ny " 6t " at man ” 8t 6ny " at asz ’1 at "I' UyEzy + 0;,ny ‘I' Ungz 'I' UgHyz + U;Hzx + 0:;sz 6(Hzx + sz) 0y 6(Hyz + ny) 02 (9(ny + sz) 82 Ba: (9(Hyz + ny) 8:2: 0(ny + sz) (2.13a) (2.13b) (2.13c) (2.13a) (2.13a) (2.13f) (2.13g) (2.13h) (2.131) (2.13j) (2.13k) (2.131) If x or y or z are replaced by w, then on), ow" become homogeneous with respect to the electric and magnetic conductivities. To satisfy the matching condition at a normal-to-w PML interface in the lattice, the ow, ow“ pair has to satisfy: 0x*/# = 0x/5 0y*/# = 0y/5 027.” = 02/5 (2.14) (2.15) (2.16) In continuous space, the PML absorber and the host medium are perfectly matched. But in FDTD lattice, electric and magnetic material parameters are repre- sented discretely, which will result in discretization errors. Berenger proposed spatial sealing of the PML parameters to reduce the discretization errors at material inter- faces. The conductivity in the PML cells increases from zero at the vacuum-layer interface to a value am at the outer side of the layer. And for each layer, the conduc- tivity can be calculated by: em) = mg)“ (2.17) where 6 is the PML thickness, p is the depth of this layer in PML. The theoretical reflection coefficient of PML at normal incidence is 6 R0 =e$P((‘EO:.c f0 a

dp)) (2.18) where 0(p) indicates the PML conductivity parameter at the point of p, c means the speed of wave propagation in the air. soar shows the conductivity in the host medium. Substitute 2.17 into 2.18, am can be calculated as: _ (n + 1)50€rcln(R0) om — — 26 (2.19) R0 is desired reflection error; 11 is the order of PML. Typically, 3 S n S 4 has been found to be nearly optimal for many FDTD simulations. For a broad range of applications, an optimal choice for a 10—cell-thick, polynomial-graded PML is R = 6'16; for 5-cell-thick PML, R0 = 6’8. For my simulation, 16-cell layer with R0 equal to 6'16 gives good results. PML performs best when the conductivity profile is averaged over each grid cell. In this case, conductivity of 0(p) can be analytically integrated over one grid cell, and divided by the cell thickness (1. Take x direction for example, the conductivity for the ith cell in PML can be calculated by: x(i)+d/2 1 / ax(p)dp (2.20) 0"") = 3 x(i)-d/2 where the ax(p) is obtained by 2.17 10 2.3 PML for High Contrast Electromagnetic Ma- terial Model The PML decribed in sec.2.2 is ideal for uniform material, which means the material in front of the PML has uniform electromagnetic characteristic parameters. In this model, the human tissue like the skin, tumor and so on has different permittivities. The PML for the human body can be chosen as non-uniform PML. In the non- uniform PML, the permittivity and permeability are different from point to point. These parameters are defined from each point in front of the layer instead of each layer. Non-uniform PML will consume too much computer time and memory space, which is not practical for this problem. An approximation is used in the model. Because of the electromagnetic characteristic parameters of human tissue including the permittivity and permeability are very close to those of water, assume the human tissue is surrounded by water and then build the PML according to water’s EM parameters. This assumption will bring reflection between the water and human tissue by the water which does not exist in the real problem. However, the reflection is small enough to approximate the real temperature distribution for the parameters of water and human tissue is close. In the configurations, there is air between the applicator and human body. The EM parameters of air are sharp contrast with the ones of human tissue, which would leads to bigger reflection than water. One solution is modeling the the surrounding air layer far away from human tissue. The human tissue is lossy material, if the simulation domain is large enough that the field is very small at the interface of the human tissue and the assumed air. When the waveguide is 15cm by 10cm, the human body tissue is chosen as 18cm by 12cm, which is surrounded by air. To test the error bring by the assumed air, a test model is built here. In this model, a 18cm by 12cm human body is derived from the CT imgages. The waveguide is built 4cm above 11 the chest surface. The source of the waveguide is chosen as pulse source which lasts only 50 timesteps. The simulation can show the reflection by the proposed air if the reflection is obvious. The FDTD simulation can show the EM field from step to step, from which there is no reflection. The power depostion in human tissue after 3000 timesteps is -58.4dB compared with the highest power generated in the simulation, which means the reflection is very small enough for the simulation to approach the real temperature distribution. 2.4 Locally Conformal Models of Curved Surfaces According to Sec. 2.1, the cubic Yee cell leads to the staircased mesh, which brings numerical error when the arbitrarily shaped surface is not aligned with major grid planes. The locally conformal modeling technique introduced by Dey and Mittra (DM) achieves more accuracy for an arbitrary surface than the Yee cell grid [13], [17]. The implementation of this new modeling method is described below, which is used for modeling the spiral antennas in this paper. Fig. 2.1 demonstrates the general cell for Dey-Mittra technique, where the diag- onal line shows the PEG surface intersect with the classic F DTD cells. Based on the integral form of Faraday’s law, the updated equation for H is as follows: n+1/2 —Ax/2,Ay/2 n-1/2 —Ax/2,Ay/2 At 11 n n +#0A(Ex I—Ax/2,Ay f — Ex |—Ax/2,0 ’9 _ Ey I—Ax,Ay/2 Ag) Hz I = Hz | (2.21a) where area A and distance f and g are defined as in Figure2.1 12 y=dy g ‘_ cell y=0 x=—dx / x=0 Figure 2.1. Cross section of the FDTD space lattice illustrating a PEC boundary diagonal with the cells. 2.5 Simulation Models 2.5.1 Phantom Model from CT Images For the first stage of simulation, there are CT images from Radiology Department of Michigan State Universiy. Human tissue model is derived from these CT scans. By inserting the tumor phantom into these model, the applicator’s effect on human body can be studied. The phantom model built in this section is better than the flat tissue layers phantom for study the heating effect on human body. Based on this phantom model, the effect of the waveguide and spiral antenna on different tumor thickness pattern and different location is studied. In the numerical simulation, human models are derived from the 47 slices of CT scan from Radiology Department of Michigan State University. One of these CT images shown in Fig.2.2 has a resolution of 512 by 512 pixels with 0.97mm spacing 13 Figure 2.2. One typical figure of CT images, based on which the phantom model is derived. between the adjacent pixels thus having 500mm by 500mm field of view (FOV). These 47 slices cover a region of 150mm along the long axis (y axis) of the body. This region is selected lOcm below the shoulder, where tumor is usually located. The human tissues such as the fat, muscle and bone are specified by the different gray scale intensities. Based on the real tumor pattern, phantom tumor with 1cm, 2cm and 30m thickness is chosen to insert under the skin as a typical model, which means the tumor layer conforms having the skin with variable thickness along 2 direction. For the simulation, radius of the spiral antenna is 5cm, and the waveguide is 100m by 10cm on the transverse face. Due to the electromagnetic power penetration depth, 12cm along the x axis and 12cm along the y axis is enough for the numerical simu- 14 lation. Simulation and experimental results show that temperature rise in the region below 5cm under the skin is much less than 0.1 Celsius with the largest temperature rise is 7 degree. In model, human body is 5cm along the z direction. The total model size is 12cm by 12cm by 10cm along x, y and z axis respectively. The heated region is no larger than 10 cm by 10cm, and a robotic arm movement is necessary for the uniform heat around the whole chest region. According to the size of the chest and the heated region, the chest is separated into four region, label in Fig.1.1. For simulation, all of the four layers are taken under consideration to test the heating effect of these two applicators. 2.5.2 Model from the Patient Human tissue model derived from patients with chest wall recurrence will be better reference for treatment plan and accurate model. In the second stage of the simula— tion, CT images from a patient in Duke cancer center are available. Based on patient model, the optimization of the system parameters such as water bolus and air gap thickness, their temperature. Based on the simulation result, the water bolus and air gap can be combined for better thermal dose. For better reference for treatment plan and accurate model, data obtained from a patient with chest wall recurrence is more useful. For this purpose 75 CT images were obtained from a patient in Duke cancer center. Fig. 2.4 shows one typical image. The white circle in the figure indicates recurrence of the tumor near the chest wall from where the breast has been removed. Different tissues are classified based on the varying image in tensity levels. The intensity of tumor closely resembles that of muscle therefore, then it is identified base on the doctor’s suggestion. Since the tumor is randomly distributed, a phantom tumor layer is inserted at possible tumor location obtained from the image. From the simulation result of phantom model, the heating effect is better when the 15 Material/ Permittivity Conductivity Density Tissue er a (S- m‘I) p (kg - m'I) Water 76.5 0.001 1000 Metal 1 10:7 7900 Table 2.1. Parameters of Material and Human Tissue in FDTD Model. applicator is parallel to the human contour. For FDTD modeling, the RF applicators are modeled in a way such that they are parallel or perpendicular to the FDTD grid, which is easier for source modeling. Then the human body needs to be rotated to a position that parallel with the RF waveguide or spiral antenna. The 3D image of the final model is shown in Fig. 2.5. The green mesh represents the external contour, the red mesh shows the tumor region and the blue spiral on the left figure illustrates the location of spiral antenna, while the rectangle on the right figure illustrates the location of waveguide. The black line indicates the area defined for FDTD simulations. Since the radius of the spiral antenna is 50m, and the waveguide here is 10cm by 15cm on the transverse face, the numerical simulation domain is 12cm in the x direction and 170m in y direction. In z axis the human model in model is 5cm due to the penetration depth. Water bolus or air gap is always used in treating the tumor in order to obtain evenly distributed heating pattern, therefore properties of water or air surrounding the human body are also included in the model. In order to have water bolus or air gap with variable thickness, the simulation domain in Z direction is 10cm. The whole simulation domain is extracted from the model shown in Fig. 2.5. Two orthogonal images from this region of interest are shown in Fig.2.6. The electrical parameters for all the materials in FDT D simulation are listed in Table 2.1. [18] 16 ° 20 4o 60 so 100 xaxis(mm) (a) xz plane 20 40 6O 80 100 yaxis(mm) (b) yz plane Figure 2.3. Two orthogonal CT images demonstrate the 3D model derived from CT scans. Top figure shows the xz plane, while bottom shows the yz plane. From the BOTTOM TO TOP, the different layers are water, skin, tumor, fat (in grey), and muscle (in white). The tumor phantom is 3cm inserted under the skin. 17 Figure 2.4. One typical figure of CT images obtained from the patient with chest wall recurrence. The white circle in this figure illustrate the possible tumor location. 18 300x aixs(mm) z aixs(mm) 2 0 100 ? (b) waveguide Figure 2.5. Demonstration of 3D Anatomical Model Derived from Patient CT Images For Simulation. The green mesh represents the external contour. The red mesh shows the tumor region. The blue spiral on the left figure illustrates the spiral antenna’s location, while the rectangular on the right figure illustrates the waveguide’s location. 19 z axis(mm) (a) xz plane z axistmm) (b) yz plane Figure 2.6. CT images that define the 3D patient model. Left figure shows the xz plane, while right figure shows the yz plane. From the BOTTOM TO TOP, the different layers are water, skin, tumor, fat (in grey), and muscle (in white). The tumor is represented by a lcm thick phantom inserted under the skin. 20 CHAPTER 3 The Optimization of System Parameters 3.1 BioHeat Transfer Equation (BHTE) The standard thermal diffusion equation proposed by Pennes [15] described the effect of metabolism and blood perfusion on the energy balance within tissue. 8T peat— = V - KVT + cbwb(Ta — T) + QEM (3.1) where p is the mass density, with the unit of of kg/m3. c is the specific heat. T is the temperature of the tissue. Ta is the temperature of the blood. it is the thermal conductivity. cb means the thermal conductivity of blood. “’b is the blood perfusion, with the unit of kg/m3/s. The BHTE is also written in another form as: 8T i065,- = V - KVT + (Pbe)w(Ta - T) + QEM (3-2) where p is the mass density, with the unit of of kg/m3. Pb means the mass density of blood, with the unit of of kg / m3. w is the blood perfusion rate, with the unit of m3/kg/s. Relation of blood perfusion and perfusion rate is given by: %=%W (w) 21 With this relationship, Eqn 3.2 becomes similar to Eqn. 3.1. In the BHTE above, QEM is the heat generation rate due to the deposited EM power,which can be calculated by: 0' QEM = ~2-IE2I (3-4) where o is the electrical conductivity of the biological tissue. To obtain the transient temperature distribution, 3.2 is rewritten into the following form by the Finite-Difference method: Tn+1"k—Tn"k k: pc W 3,, (”3’ ’ = §[T“(i+1,),k)+T“(i—1,j,k) (3.5a) +Tn(i,j + 1, k) + Tn(i,j — 1, k) + Tn(i,j, 1: +1) +Tn(i,j, k — 1) — 6Tn(i,j, 1.)] +QEM - prbprHUJ, 16) where At means the time step, A means the space step. Since the time step difference of the finite difference time domain method is day/20, which is too small for the temperature to reach the steady state. To accelerate the iteration process to obtain the steady state temperature distribution, multiply the Eqn.3.5b with a factor a and simplify as: T°+1(i,j, k) ;%%[T“\I (a) xz plane Temp Distribution(yz plane) zaxis(cm) 0 -fi N U & 0! 03 \l O U 6 y axis(cm) (b) yz plane Figure 5.2. The simulated temperature distribution on the xz plane and yz plane in the center of the applicator. The model is derived from patient CT images. The applicator applied here is a 100m by 15cm of waveguide operating on 915MHz. Only water bolus exists in the system 64 43 Temp Distribution(xz plane) 42 gs ‘~~"t "" ' ," ~15; o 5 I V 4 . 41 .9 3 if 2 40 N 1 oo 4 1s 20 39 x ax:s(cm) as 37 (a) xz plane zaxis(cm) O-hMUbAU'IO) _ 9 12 15 y ax:s(cm) (b) yz plane Figure 5.3. The simulated temperature distribution on the xz plane and yz plane in the center of the applicator. The model is derived from patient CT images. The applicator applied here is a 10cm by 15cm of waveguide operating on 915MHz. Only air gap exists in the system. 65 z axis(cm) menus-mats: o . (a) xz plane Temp Distribution(yz plane 7 rivv: ‘3 A6 ”lg—55") f : 1 ' ' E 5 , ' - 4 0 V4 .9 5 3 3 2 N . ’ 2 U o 3 s 9 15 y aXIs(cm) 1 (b) yz plane Figure 5.4. The simulated temperature distribution on the xz plane and yz plane in the center of the applicator. The model is derived from patient CT images. The applicator applied here is a 10cm by 15cm of waveguide operating on 915MHz. Only air gap exists in the system. 66 CHAPTER 6 Conclusion and Future Work 6.1 Conclusion In this thesis, the waveguide and spiral antenna are studied for hyperthermia chest wall recurrence. Chap.4 studied these applicators effect on tumor of different thickness and different location. For 1cm tumor layer, 3cm water bolus gives the best thermal dose. 2cm tumor with 5cm water bolus and 3cm tumor with 4cm water bolus give the best thermal dose. If the tumor is equal or above 2cm, then the heated region over 5 °C is 2cm deep from the skin layer.And the temperature rise in 3cm is as high as 4 °C. For different tumor thickness, the temperature in the center of the tumor is elevated by about 7 degrees while the temperature increase in muscle is negligible. The penetration depth above 42°C is 2cm in tumor when tumor is right under the skin layer. As the tumor layer thickness increases, the heated region along transverse surface, which means x and y direction shrinks and the heated fat region decreases. These conclusions applys to both waveguide and spiral antenna. For waveguide, the heated region above 4 °C localize in a 5cm by 5cm along the transverse surface. While for spiral antenna, the region is about 6cm by 6cm. On trasverse surface. So that 67 when the tumor is 1cm thickness, the heated region on trasverse surface is larger. When the tumor is thicker as 2cm or 3cm, the heated region by waveguide is larger than spiral antenna. Compared with waveguide simulation result, the spiral antenna generates no hot spot and much less heat in fat layer when the tumor layer is 1cm at the curved surface on the skin. However, The skin temperature for spiral antenna is higher. When the applicators are applied to different locations on human body, the thermal dose is larger at the part where the body surface is flat then the one where the surface has curves. The thermal dose in the desired tumor region is larger if the waveguide or spiral antenna is parallel to the skin surface. Chap5 focus on the optimization of the water bolus and air gap in the system. The human model is derived from CT images of chest wall recurrence patients. On the specific tumor pattern of 1cm thickness, the thickness of water bolus, air gap and their temperature is studied. Simulation results show combined water bolus and air gap bring the best thermal dose. When the water gap is 0.5cm, air gap is 1cm and the water temperature is 405°C, the best thermal dose is 1.5min. If water gap only, the best thermal dose TD90 is 1min, when the water bolus is 0.5cm and the water temperature is 415°C. And if air gap only, the best thermal dose TD is only 0.15min when the air gap thickness is 2cm with the air surrounded is only human body temperature. For 1cm tumor layer under the skin, the water and air surrounded gives the best heating effect. When there are water and air between the human body and the waveguide, the heated region along X axis and Y axis is as large as water bolus only but larger than air gap only. The combination can achieve 12cm along X axis and 8 cm along Y axis while the air gap is only 10cm by 6cm. The penetration depth is smaller than air gap only but bigger than water bolus only, which is very helpful if the tumor is very near the surface, and 3cm deep there are important tissue like muscle or organ. However, if the tumor is deep, the air gap can be considered. 68 6.2 Future Work The optimization of the water bolus and air gap thickness focuses on 1cm tumor layer right under the skin. In future, the optimization should be also studied for different tumor pattern, like the 2cm, 3cm thickness tumor under the skin or the lem under the fat layer. These phantoms simulation result can help understanding the heating effect of different tumor patterns. With these knowledge, the doctors can make treatment plan easier. Next step is to study the heating path of the human body whole chestwall. The chest wall recurrence usually covers the whole chest wall. Usually applicator can not heat the tumor site all at once and need the help of robot arm movement. 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