{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# 14 Computed Tomography" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 14.1 Motivation and concept\n", "\n", "One important application of fourier transforms is x-ray Computed Tomography which, in medicine, is called a CAT scan and is used to observe soft tissue inside a person's body. The method is quite general and can be used in diverse applications, for example, to measure the position and concentration of different chemical species in a combustion reaction (i.e. in a flame) or to examine the quality of steel inside steel-reinforced concrete. Waves, which could be electromagnetic or acoustic, are passed through an object and the absorption at many points along a line is measured and then this is repeated at each of many angles. After transforming, this data can reproduce an accurate image of the original object. Houndsfield and Cormack received the 1979 Nobel prize in Physiology or Medicine for discovering the technique of x-ray computed tomography. \n", "\n", "The method consists of two parts, first is the acquisition of the data the second is unscrambling this to form an image. The second part is purely mathematical and reconstructs the image on a grid of points, i.e. a 2D array or matrix, which we shall call the *image plane*. In a CAT scan a thin sheet of x-rays passes through the object and the intensity of the radiation emerging at each point across the x-ray sheet is measured relative to its initial value. Nowadays, a multi-element detector such as a CCD device could be used. Any difference in signal amplitude is due to absorption of the x-rays, but there must not be any significant refraction or scattering caused by different densities as this will mix up different spatial positions. In the next and subsequent steps both the source and detector are rotated by a small angle and the process repeated to cover a $180^\\text{o}$ range. (In practice the source and detector spin round the patient which is why the CAT scan machine is formed as a hollow cylinder). The signal at each angle is then fourier transformed, filtered as required, and back transformed and re-assembled in clockwise fashion to form an image. To get an idea of how this happens Figures 86 and 87 show the process in schematic form.\n", "\n", "The principle is shown in the next few figures; the necessity to rotate the source and detector to observe details is clear: at any given angle the _total absorption_ along any ray is measured so any 2D information is integrated and only 1D information remains, see figure 86.\n", "\n", "The extent of absorption is given by Beer's Law, which for the simple case of a solution in a cuvette in a spectrophotometer is\n", "\n", "$$\\displaystyle \\frac{dI}{dx}=-I\\epsilon_\\lambda [C], \\quad \\to \\quad \\ln\\left(\\frac{I}{I_0}\\right)=-\\epsilon_\\lambda [C]l\\qquad\\tag{59}$$\n", "\n", "where $I_0$ is the initial intensity at $x=0$, $\\epsilon_\\lambda$ the extinction coefficient at wavelength $\\lambda$ and is a characteristic of the molecule and describes how strongly the molecule absorbs, the concentration is $[C]$ and integration is over path length from $x=0\\to l$. We shall assume that the x-rays used in CAT scans are collimated, i.e. made up of pencil like rays, and sufficiently monochromatic that the absorption is equal across its spread of wavelengths.\n", "\n", "![Drawing](fourier-radon-fig1.png)\n", "\n", "Figure 86. Two views of the same object, illustrating the necessity to measure at many angles. The measured absorption on the right would suggest that only one object is present. Hundreds of angles are measured over a $180^\\text{o}$ range as source and detector rotate as a pair about the object.\n", "______\n", "\n", "## 14.2 The Radon Transform\n", "\n", "In tomography we have to be far more general than in spectroscopy because absorption is not from one species at a fixed concentration. Additionally for each ray in the sheet of x-rays emerging from the source, the path length and absorption is normally different because these depend on the shape and nature of the object being measured. Thus, the Beer Lambert Law law is generalised and for _each_ ray passing through the sample is at each angle is,\n", "\n", "$$\\displaystyle p(\\theta,x)=\\ln\\left(\\frac{I_0}{I}\\right)_\\theta= \\int_{-\\infty}^\\infty f(x,y)dy\\big|_\\theta \\qquad\\tag{60}$$\n", "\n", "where $f(x,y)\\equiv \\epsilon_\\lambda [C]$ at position $(x,y)$ and the integration is over the ray's path, $y$ at each angle $\\theta$. The function $p(\\theta,x)$ is the projection of the total (i.e. summed) absorption onto the detector along path $y$ at each horizontal position $x$. In a spectrophotometer this would be called the optical density.\n", "\n", "Mathematically, it is convenient to let each ray be defined by a perpendicular distance $r$ from the origin and at each angle $\\theta$, see figure 87. The absorbance vs. position (see fig 86) clearly depends on the angle, but as the sample remains fixed in space there are two sets of coordinates to deal with. The first is the set belonging to the object being measured, the other that of the set of rays along with which absorbance is measured. The coordinates used are shown in figure 87. The object is positioned in the $(x,y)$ axes and the x-ray beam in the $(e_x,e_y)$ axes, a general point is labelled $(x',y')$. Integration along a typical ray occurs along the line $R \\to R'$, starting at $I_0(\\theta,x')$ at perpendicular distance $x'$ from the origin and angle $\\theta$ and this produces a single absorbance value at $p(\\theta,x')$. \n", "\n", "![Drawing](fourier-radon-fig2.png)\n", "\n", "Figure 87. Details of the axes used. The total absorbance $p(\\theta,x')$ is that due to the whole path along $y'$ at angle $\\theta$ and horizontal position $ x'$. The function $p(\\theta,x',y')$ is the absorption up to point $(x',y')$ at angle $\\theta$. A series of $P(\\theta,x')$ is recorded over a $180^\\text{o}$ range by rotating source and detector about the object being measured. \n", "_______\n", "\n", "As the sample and x-ray are on different axes (the sample is fixed but the x-ray source moves in an arc) it is necessary to represent the path taken by a ray with path $(\\theta,x')$ in terms of $(x,y)$. The way to do this is to find the equation of the line describing the path $(\\theta,x')$. A straight line has the equation $y=mx+c$ which can also be written as $ax+by=r$ as shown in figure 88, where $a=\\cos(\\theta),\\;y=\\sin(\\theta)$ and $r$ the perpendicular distance from the origin which is length $x'$ in fig 87. This form is in polar coordinates and is more convenient for our use.\n", "\n", "As the same straight line is followed when integrating then $p(\\theta,x')$ becomes\n", "\n", "$$\\displaystyle p(\\theta,x')=\\int_{-\\infty}^\\infty\\int_{-\\infty}^\\infty f(x,y)\\;\\delta(\\;x\\cos(\\theta)+y\\sin(\\theta)-x')dx dy\\qquad\\tag{62}$$\n", "\n", "and is a two dimensional integral because as we track along the line at the distance $x'$ from the origin, both $x$ and $y$ vary. The $\\delta$ function picks out just the values that are zero, $x\\cos(\\theta) +y\\sin(\\theta) = x'$, i.e. $\\delta(0)=1$ else $\\delta(\\ne 0)=0$ and thus follow the line with displacement $x'$. The $p(\\theta,x')$ is called the Radon Transform after J. Radon (1917. (Translated by P. Parks, in IEEE Transactions on Medical Imaging, 5(4): 170-176,1986).\n", "\n", "In the transformed coordinates the integral is\n", "\n", "$$\\displaystyle p(\\theta,x')=\\int_{-\\infty}^\\infty f\\big(x'\\cos(\\theta)-y'\\sin(\\theta),\\; x'\\sin(\\theta)+y'\\cos(\\theta)\\big)dy'$$\n", "\n", "The transformation comes from finding $x',y'$ using the rotation matrix, i.e. inverting the $2 \\times 2$ matrix and multiplying out\n", "\n", "$$\\qquad\\qquad\\qquad\\begin{bmatrix}x\\\\y \\end{bmatrix}=\\begin{bmatrix}\\cos(\\theta) &\\sin(\\theta)\\\\-\\sin(\\theta)&\\cos(\\theta) \\end{bmatrix}\\begin{bmatrix} x'\\\\y'\\end{bmatrix} \\qquad\\qquad\\qquad \\qquad\\qquad \\qquad\\text{(63)}$$\n", "\n", "![Drawing](fourier-radon-fig3.png)\n", "\n", "figure 88. Definition of straight line as distance $r$ from the origin and angle $\\theta$. In effect this re-defines the line in polar coordinates $(r,\\theta)$. \n", "______\n", "## 14.3 Sinograms\n", "\n", "When many sets of $p(\\theta,x')$ are accumulated the first step in unscrambling the data is usually to plot $p$ vs. $\\theta$ as columns and using a grey-scale to indicate the magnitude of $p$ and so form what is called _sinogram_ which is the all the Radon transforms stacked one above the other. This name does not arise, as one might expect, from the shape of the image but from the fact that it was originally used to image the sinuses in the skull.\n", "\n", "To illustrate the sinogram, suppose that the object to be imaged consisted of just one point at $x_0,y_0$ then $f(x_0,y_0)=\\delta(x_0)\\delta(y_0)$ and so from eqn. 62\n", "\n", "$$\\displaystyle p(\\theta,x')=\\int_{-\\infty}^\\infty\\int_{-\\infty}^\\infty \\delta(x_0)\\delta(y_0)\\delta(\\;x\\cos(\\theta)+y\\sin(\\theta)-x')dxdy $$\n", "$$\\displaystyle =\\delta(\\;x_0\\cos(\\theta)+y_0\\sin(\\theta)-x')\\qquad\\qquad \\qquad\\qquad\\tag{64}$$\n", "\n", "and for simplicity suppose that $y_0=0$ then $p(\\theta,x')=\\delta(x_0\\cos(\\theta)-x')$, and this point traces out a sinusoidal curve in a plot of $\\theta$ and $x'$. In fig 89, two objects are used (left figure) and right a sinogram calculated. The image repeats itself after $360^\\text{o}$ but is continued in the figure to show this more clearly. In practice only $0\\to 180$ need be calculated as the other angles are found by symmetry.\n", "\n", "The two objects are centred at $(90,100)$ and $(200,150)$ and when $\\theta =0$ the $x'$ values are the same as the $x$ coordinate for each object as shown by the two small black dots. When the two sinusoids cross the angle is such that the objects are in line as in the right-hand image of figure 86. In this situation the $x'$ axis is at right angles to the line between the two objects, and in this example, $\\theta \\approx 114^\\text{o}$ from the vertical and is shown by the red dots. The maximum $x'$ happens when the angle places the detector surface parallel to the line between the two objects after accounting for their size and is at $\\approx 30^\\text{o}$.\n", "\n", "![Drawing](fourier-radon-fig4.png)\n", "\n", "Figure 89. Example of a sinogram generated by two small objects on a $256 \\times 256$ grid. Angle $\\theta$ is defined in fig 87 vs. $x'$, the distance along the detector surface.\n", "_______" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 14.4 Basic and filtered back projection.\n", "\n", "Once the sinogram is measured reconstruction is possible. The _back projection_ method is currently very widely used to obtain the object's image, see figures 90 & 91. \n", "\n", "In back projection each row in the sinogram is in turn projected back (i.e. smeared, along the ray direction $\\theta$ that produced it) and then added to other projected rows rotated to their appropriate angle. What this means in practice is that a 2D square array is made with dimension of the number of pixels across the detector. The first row in the sinogram is (mathematically) smeared down this array, i.e. each row is made the same and the array rotated to the first angle in the sinogram and stored in another 2D array as the image plane. This process is repeated for each line in the sinogram and added to the stored image array. This forms the back projected image. Figure 90 shows as a schematic an initial object with two and then four back projections. As more of these are added the object becomes more defined. Figure 91 shows the calculated back projection forming an image of the objects in figure 89. In the projection the signal where the lines cross becomes large, but remains small at the perimeter where images overlap less. However, because the lines are placed radially, near to the centre the summed signal becomes blurred as there are so many of them adjacent to one another and so they still partially overlap where there should be no image. This effect diminishes towards the perimeter and is called the $1/r$ effect. This is a convolution of the transform of the true object $F(x,y)$ with $1/r$ where $r$ is the radial distance from the centre of the image. By rearranging the way the back projection is handled this effect can be counteracted in the 'filtered' back projection method described shortly.\n", "\n", "![Drawing](fourier-radon-fig6.png)\n", "\n", "Figure 90. To make a basic back projection of an object two then four 'back' projections are rotated then added together. The image becomes more clearly defined as more projections are added, but is far from being correct with just four projections. In practice many are needed as shown in the next figure. \n", "_______\n", "\n", "![Drawing](fourier-radon-fig7.png)\n", "\n", "Figure 91. Calculated basic back projections using the image on the left of figure 89. Starting at the left the line of the sinogram at $0^\\text{o}$ is smeared along the whole of the image plane. In this example the image is $256 \\times 256$ pixels. The next image shows the smearing of this line added to a second at $90$, the other images corresponding to lines at $45$ and then finally at $1$ degree intervals. The image is clearly reconstructed but is fuzzy with a undesirable diffuse halo around each feature. The small arrow shows the $100^\\text{o}$ object shown in fig 93, line B. (Rotating each 2D array is the most time consuming part of the calculation as it has to be done pixel by pixel unless an inbuilt function is used to do this. In python/scipy $\\mathtt{ndimage.rotate()}$ will do this rapidly.)\n", "_____\n", "\n", "To understand why the reconstructed image is fuzzy the back projected image of a single pixel is shown in profile in figure 92. Clearly there is blurring because this should be a single spike and as the same thing happens to every pixel that is not zero, we can understand why the raw back projection is blurred the way it is. In optics this single pixel profile would be called the *point spread function* and as the point that generates it is cylindrically symmetrical the function spreads out in $x$ and $y$ in the same way. In figure 92 (right) the same x-ray intensity passes through areas A and B. The area A is $r_1dr\\delta\\theta$ and B, $r_2dr\\delta\\theta$. The intensity is energy/area or $E/r_1dr\\delta\\theta$ and $ E/r_2dr \\delta \\theta $ which means in the general case that the intensity $I(x,y)\\sim 1/r$ as described above. \n", "\n", "Another way of thinking about the blurring is to imagine the image as made up of a series of spikes that is convoluted with the point spread function. In this case to obtain the true image the blurred image needs to be convoluted with the 'inverse' function of the point spread function. However, as convolution is the same as multiplication in fourier space it is quicker to transform the image and multiply by the transform of the correction to the point spread function. How this is done is described next.\n", "\n", "![Drawing](fourier-radon-fig7a.png)\n", "\n", "Figure 92. Left The raw back projected profile of a single pixel. Right. To show that the intensity profile is described as $I(x,y)\\sim 1/r$ where $r$ is the radial distance. The centre of the image (point $128,128$ in the images used here) is taken as $r=0$.\n", "\n", "_______\n", "\n", "While it can be appreciated by drawing pictures that the back projection will reform something that looks like the original object, at least approximately, it is important to check if this is always going to be the case or whether it may fail in certain circumstances. We start by looking at the inverse 2D fourier transform of a general object $f(x,y)$, see equation 60, and finally arrive at the filtered back projection equation. In other words, by analysis a correction to the simple back projection is naturally produced. \n", "\n", "As a reminder the 2D function of value $f(x,y)$ at position $x,y$ is, in effect, an image. The position $x,y$ in 'normal' space will be called $u,v$ in transform space, and by analogy with 1D transforms, the 2D transform is, \n", "\n", "$$\\displaystyle F(u,v)=\\int_{-\\infty}^\\infty\\int_{-\\infty}^\\infty f(x,y)e^{\\large{-2\\pi i (ux+vy)}}dxdy\\qquad\\tag{65}$$\n", "\n", "where $u,v$ are the conjugate variables to $x,y$, i.e. if $x,y$ are in distance $u,v$ are in reciprocal distance and so may be called the 'spatial frequency' but in tomography is called the *projection*. The $1/\\sqrt{\\pi}$ scaling of the transform can be ignored. Examples of other 2D transforms are given in section 12.\n", "\n", "The inverse 2D transform is\n", "\n", "$$\\displaystyle f(x,y) = \\int_{-\\infty}^\\infty \\int_{-\\infty}^\\infty F(u,v) e^{\\large{+2\\pi i(ux+vy)}}dudv \\qquad\\tag{66}$$\n", "\n", "and we change this to polar coordinates i.e. to the (spatial) frequency domain with coordinates $\\theta, \\omega$ where $u = \\omega\\cos(\\theta),\\;v=\\omega\\sin(\\theta)$. To find $d\\omega d\\theta$ a Jacobian is used\n", "\n", "$$\\displaystyle \\begin{vmatrix}\\displaystyle\\frac{du}{d\\omega} & \\displaystyle\\frac{du}{d\\theta}\\\\ \\displaystyle\\frac{dv}{d\\omega} & \\displaystyle\\frac{dv}{d\\theta} \\end{vmatrix} =\\begin{vmatrix}\\cos(\\theta) & -\\omega\\sin(\\theta)\\\\ \\sin(\\theta) & \\omega\\cos(\\theta) \\end{vmatrix}=\\omega$$\n", "\n", "making $dudv=\\omega d\\omega d\\theta$ and equation 66 becomes\n", "\n", "$$\\displaystyle f(x,y) = \\int_{0}^{2\\pi} \\int_{0}^\\infty F\\big(\\omega\\cos(\\theta),\\omega\\sin(\\theta)\\big)e^{\\large{+2\\pi i\\omega (x\\cos(\\theta)+y\\sin(\\theta)\\;)}}\\omega\\; d\\omega d\\theta \\qquad\\tag{67}$$\n", "\n", "Using the Slice Theorem (details below) the 2D transform $F(u,v)$ can be replaced by the 1D transform at $\\theta$ of the experimental data which is the projection, $P(\\theta,\\omega)$ which is a line in the sinogram. This is what connects the measured projection data to the true object $f(x,y)$ \n", "\n", "$$\\displaystyle f(x,y) = \\int_{0}^{2\\pi} \\int_{0}^\\infty P(\\theta,\\omega)e^{\\large{+2\\pi i\\omega (x\\cos(\\theta)+y\\sin(\\theta)\\;)}}\\omega\\; d\\omega d\\theta $$\n", "\n", "To get limits $0 \\to 2\\pi$ the integral is split into two parts $0\\to\\pi$ and $\\pi\\to 2\\pi$, \n", "\n", "$$\\displaystyle \\begin{align} f(x,y) =&\\int_{0}^{\\pi} \\int_{0}^\\infty P(\\theta,\\omega)e^{\\large{+2\\pi i\\omega (x\\cos(\\theta)+y\\sin(\\theta)\\;)}}\\omega\\; d\\omega d\\theta \\\\+\n", "&\\int_{\\pi}^{2\\pi} \\int_{0}^\\infty P_\\theta(\\omega)e^{\\large{+2\\pi i\\omega (x\\cos(\\theta+\\pi)+y\\sin(\\theta+\\pi)\\;)}}\\omega\\; d\\omega d\\theta \\end{align}$$\n", "\n", "which may be simplified because $\\cos(\\theta+\\pi)=-\\cos(\\theta)$ and similarly for sines which changes the sign in the exponential, consequently, $P(\\theta+\\pi,\\omega)=P(\\theta,-\\omega)$ and the result for filtered back projection is \n", "\n", "$$\\displaystyle f(x,y) = \\int_{0}^{\\pi} \\int_{0}^\\infty |\\omega| P(\\theta,\\omega)e^{\\large{+2\\pi i\\omega (x\\cos(\\theta)+y\\sin(\\theta)\\;)}} d\\omega d\\theta $$\n", "\n", "The $|\\omega|$ that arises in these last equations, as a result of changing to polar coordinates, is in effect a filter function and has a 'V' shape centred at the origin. It can account for the fact that there are too many points near to the origin compared to farther out, because the transform is arranged radially. The result of the radial arrangement is that the large values in frequency space, which correspond to small features (i.e fine details) in the image and not well resolved, therefore to improve resolution data at many angles are needed. This $1/r$ blurring is removed by the filter $|\\omega|$, in other words the transform of the $1/r$ in 'real' space is is $|\\omega|$ in transform space, thus we can easily perform the convolution, via fourier transforms, to remove the distortion caused by simple back projection.\n", "\n", "Having measured the projections at all angles the filtered back projection method starts with the sinogram. \n", "\n", "$\\quad$**(a)** Fourier transform the first line in the sinogram.\n", "\n", "$\\quad$**(b)** Multiply this transform by the absolute value of the frequency (the filter function).\n", "\n", "$\\quad$**(c)** Calculate the reverse transform.\n", "\n", "$\\quad$**(d)** Continue to do this for all lines in the sinogram. \n", "\n", "$\\quad$**(e)** Construct the image plane with the new sinogram just as in normal back projection.\n", "\n", "In practice the transforms have to be done numerically on a grid of data points and thus fast fourier transforms are used. The stages of the reconstruction are shown at the end of this section. Also the image can be constructed 'on the fly' rather than as suggested in (a)-(e) above. There are other concerns also, for example the filter $|\\omega|$ has to end at some finite value so has the form not of a V shape but more like an M and this introduces some extra frequencies as noise into the transform. Thus it is common to add some apodizing function by applying other filters (Gaussian, Hanning) to damping out these oscillations. Thus there is a trade-off between sharp edges to the image and some noise, vs. smoothing edges and less noise. \n", "\n", "The image below shows the effect of filtering when compared to the right-hand most image in figure 91 which is basic back projection. The sharp edges are clear. The plot below shows the profile at $100$ and $150^\\text{o}$. The wide blue line is the unfiltered back projection, and the increased precision by filtering is very clear. In this image only $180$ projections were used and in the larger disc some of the remaining noise can be seen. \n", "\n", "![Drawing](fourier-radon-fig8.png)\n", "\n", "Figure 93. Left. Reconstruction of the object in figure 89 with basic back projection (left) compared with filtered back projection (Right). Middle, comparison of the profile along the line A (top) and along B (lower) for filtered, red, and basic back projection, blue.\n", "______\n", "\n", "## 14.4 Number of samples\n", "\n", "In practice discrete sampling has to be performed, both in terms of the number of pixels on a camera and in the angular resolution that is possible. As an example of the number of samples required to reconstruct an object $f(x,y)$ let the minimum sampling distance be $\\Delta k_{max}$ which is defined in terms of the extent of $f(x,y)$ and if this is $\\pm f_{max}$ then $\\displaystyle \\Delta k_{max}=\\frac{1}{2f_{max}}$, but $\\Delta k_{max}$ is also the product of the minimum angular separation and maximum spatial frequency as $\\Delta k_{max}=\\Delta\\theta \\omega_{max}$. The maximum spatial frequency is $\\displaystyle \\omega_{max}=\\frac{1}{2\\Delta x}$ and therefore \n", "\n", "$$\\displaystyle \\displaystyle \\Delta\\theta \\le \\frac{\\Delta x}{f_{max}}$$\n", "\n", "If there are $1024$ pixels in the CCD detector then $2f_{max}=1024\\Delta x$ and so $\\Delta \\theta =1/512$. As the total angular spread is $180^\\text{o}$ then the number of projections needed for an image of $1024\\times 1024$ pixels is $N=\\pi/\\Delta\\theta= 512\\pi\\approx 1600$ projections or at $\\approx 0.11^\\text{o}$ intervals." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 14.6 The Fourier Slice Theorem.\n", "\n", "The Fourier Slice theorem is used in the reconstruction as it allows the 2D image to be assembled from the 1D data. By transforming the projection $p(\\theta, x')$, one line of the 2D transform of the image is produced at angle $\\theta$. Repeating this at each angle and smearing and adding these 1D transforms forms the full 2D image as in back projection.\n", "\n", "The fourier transform $F(\\cdots)$ of any $p(\\theta,x')$ will produce a new function $P_\\theta(\\omega)$ in coordinates in reciprocal $x'$ which we will label $\\omega$ as it is a 'spatial frequency'. As the absorption is at fixed $\\theta$ this is a constant in the equations below. Fourier transforming one line of data $p(\\theta,x')$ gives\n", "\n", "$$\\displaystyle F(p(\\theta,x'))\\equiv P_\\theta(\\omega)=\\int_{-\\infty}^\\infty p(\\theta,x')e^{-2\\pi i \\omega x'}dx'\\qquad\\tag{68}$$\n", "\n", "where the $1/\\sqrt{2\\pi}$ scaling used in the definition of the transform (section 6) can be ignored. The next step is to relate this equation to the shape of the object $f(x,y)$ and for this the Slice Theorem is used. ( As the fourier transform is used it is essential that the values at the limits of $x'$ are zero, and this is because it is implicit in using the transform that the signal is repetitive and making values zero ensures that there is no sudden jump in values, which would present itself as as a artificial frequency. Zero padding would be used in practice to eliminate this effect if the values are not zero).\n", "\n", "To illustrate the Slice Theorem and in its simplest form we start with the definition of the 2D fourier transform eqns. 65-66 but let $v=0$ producing,\n", "\n", "$$\\displaystyle F(u,0)=\\int_{-\\infty}^\\infty\\int_{-\\infty}^\\infty f(x,y)e^{-2\\pi i (ux)}dxdy \\qquad\\tag{69}$$\n", "\n", "This integral can now be split into parts in $x$ and $y$, viz,\n", "\n", "$$\\displaystyle F(u,0)=\\int_{-\\infty}^\\infty\\left[\\int_{-\\infty}^\\infty f(x,y)dy\\right] e^{-2\\pi i (ux)}dx\\qquad\\tag{70}$$\n", "\n", "where the integral in the square brackets is the projection with $\\theta = 0$, i.e. $p(0,x')$, from equation 62,\n", "\n", "$$\\displaystyle \\qquad\\qquad\\qquad\\qquad\\begin{align} p(\\theta,x')& =\\int_{-\\infty}^\\infty\\int_{-\\infty}^\\infty f(x,y)\\delta(\\;x\\cos(\\theta)+y\\sin(\\theta)-x')dxdy \\quad \\overset{\\theta\\,=\\,0\\;x\\,=\\,x'} \\longrightarrow \\\\p(0,x)& =\\int_{-\\infty}^\\infty f(x,y)dy\\end{align}\\qquad\\qquad\\qquad\\qquad\\text{(72)}$$\n", "\n", "where in the last step we changed $x' \\to x$ which is the projection at constant $x'$. Substituting into eqn 66 or 67 we find\n", "\n", "$$\\displaystyle F(u,0)=\\int_{-\\infty}^\\infty p(0,x') e^{-2\\pi i (ux')}dx'\\qquad\\tag{73}$$\n", "\n", "and then recognize that the right-hand side is just the fourier transform of the projection at $\\theta=0$. In our example $u\\equiv\\omega$ so we can write\n", "\n", "$$\\displaystyle P_0(\\omega)=\\int_{-\\infty}^\\infty p(0,x') e^{-2\\pi i (\\omega x')}dx'\\qquad\\tag{74}$$\n", "\n", "which is eqn. 65 at $\\theta=0$. Thus we find that the fourier transform of the projection is in fact just a slice of the 2D transform of $f(x,y)$, thus rotating each projection the 2D transform can be built up. \n", "\n", "In the general case at angle $\\theta$ starting with equation 62,\n", "\n", "$$\\displaystyle p(\\theta,\\omega)=\\int_{-\\infty}^\\infty\\int_{-\\infty}^\\infty\\int_{-\\infty}^\\infty f(x,y)\\delta(\\;x\\cos(\\theta)+y\\sin(\\theta)-x')e^{-2\\pi i \\omega x'}dxdydx'\\qquad\\tag{75}$$\n", "\n", "The delta function is $1$ only when $x\\cos(\\theta)+y\\sin(\\theta)=x'$ making it selective for certain values and the integral is simplified to\n", "\n", "$$\\displaystyle p(\\theta,\\omega)=\\int_{-\\infty}^\\infty\\int_{-\\infty}^\\infty\\ f(x,y)e^{\\large{-2\\pi i \\omega (x\\cos(\\theta)+y\\sin(\\theta))}}dxdy\\qquad\\tag{76}$$\n", "\n", "This now has the form of a 2D fourier transform as in eqn. 60, i.e. $\\displaystyle \\int_{-\\infty}^\\infty\\int_{-\\infty}^\\infty f(x,y)e^{\\large{-2\\pi i (ux+vy)}}dudv$, \n", "\n", "and is the 1D fourier transform of that part of the image $f(x,y)$ that lies on the line defined by $u=x\\cos(\\theta),v= y\\sin(\\theta))$ and is the general form of the Slice Theorem.\n", "\n", "## 14.7 Stages in the filtered back projection.\n", "\n", "The figures show some data, starting with line 30 of the sonogram (length 256 pixels), which is at an angle of $42^\\text{o}$. The second image (B) shows the fast fourier transform of A but rotated by half its length (128) to make the centre of the transform at the centre of the array. This is then multiplied by the filter $|\\omega|$ with frequency zero at the centre. You can see how this product changes the transform giving it an inverted look. Finally the inverse /reverse or back fourier transform is made and again rotated so that it is at the centre of the data. By making the first and last points in the filter equal to zero adds a long period sine wave to the data as can be seen in frame E, but over all the angles the phase of this sine wave varies and eventually exactly cancels out. \n", "\n", "![Drawing](fourier-radon-fig9.png)\n", "\n", "Figure 94. Showing stages in the filter back projection method. A; the sinogram at line $30$ which is at $42^{\\text{o}}$. B; the real part of the fourier transform of A. C, the filter function $|\\omega |$. Zero frequency must be at centre point ($128$). D; the real part of (filter $\\times$ B). E; the back transform of D.\n", "\n", "_______" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "from scipy import ndimage, misc\n", "plt.rcParams.update({'font.size': 16}) # set font size for plots\n", "# make the sonogram from the image call it p[ ..., ...], image is n by n.\n", "# e.g n = 2**m to make FFT fast, say say 256\n", "# This code is slow and not the most efficient but illustrates the method. \n", "\n", "#----------------------------\n", "def makeimage():\n", " \n", " image1 = np.zeros((n,n),dtype=float)\n", " \n", " x0a = 200 # init values\n", " y0a = 150\n", " rada = 30\n", " x0b = 90\n", " y0b = 100\n", " radb = 10\n", " \n", " for i in range(n):\n", " for j in range(n):\n", " image1[i,j]=0\n", " if (j-x0a)**2+(i-y0a)**2 <= rada**2:\n", " image1[i,j] = 20 \n", " if (j-x0b)**2+(i-y0b)**2 <= radb**2:\n", " image1[i,j] = 40\n", " pass\n", " return image1\n", "#----------------------------\n", "def sinog(image1,n): # make sinogram\n", " \n", " p = np.zeros((n,n),dtype=int)\n", " for i in range(0,n,1):\n", " theta= (i*360/n) # angle degrees\n", " temp = ndimage.rotate(image1, theta, reshape = False)\n", " for j in range(n):\n", " p[i,j] = np.sum(temp[:,j])\n", " return p\n", "#----------------------------\n", "def filterproj(p):\n", " \n", " imtest = np.zeros((n,n),dtype = complex) # image plane\n", " imk = np.zeros((n,n),dtype = float) # temporary storage\n", " temp= np.zeros( n, dtype = complex) # temporary\n", " omega = np.zeros( n, dtype = complex) # filter\n", " for i in range(n):\n", " omega[i] = abs(i-nc) # make centre zero\n", " omega[0] = 0.0\n", " omega[n-1] = 0.0\n", " for j in range(0,180,1): # jth row of p \n", " indx = int(j*n/360)\n", " temp[:] = np.fft.fftshift(np.fft.fft( p[indx,:] ) ) # transform and shift to centre\n", " temp[:] = np.fft.fftshift(temp[:]*omega[:] ) # filter * transform, shift to edge\n", " temp[:] = np.fft.ifft(temp[:]) # reverse transfer will auto shift back to centre\n", " for k in range(n): \n", " imk[k,:] = np.real( temp[:] )\n", " imtest = imtest + ndimage.rotate(imk, j, reshape = False) # ndimage.rotate is fast array rotation\n", " return imtest\n", "#----------------------------" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig,(ax1,ax2,ax3) = plt.subplots( nrows=1, ncols=3, figsize=(15,10) ) # define plots\n", "\n", "n = 2**8 # size of image to use\n", "nc = n//2 # integer division\n", "\n", "imageA = makeimage()\n", "ax1.set_title('Original image')\n", "ax1.imshow(imageA,origin='lower',cmap='gray') # plot original image\n", "\n", "p = sinog(imageA,n)\n", "ax2.set_title('sinogram')\n", "ax2.imshow(p, cmap='nipy_spectral_r') # plot sinogram\n", "\n", "fimage = filterproj(p)\n", "ax3.set_title('Reconstructed image')\n", "ax3.imshow(np.real(fimage) ,cmap='gray') # plot filtered back transform\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.6" } }, "nbformat": 4, "nbformat_minor": 2 }