## Fan-Beam Projection

**Note**

For information about creating projection data from line integrals along parallel
paths, see Radon Transform. To
convert fan-beam projection data to parallel-beam projection data, use the `fan2para`

function.

The `fanbeam`

function computes
*projections* of an image matrix along specified directions. A
projection of a two-dimensional function *f(x,y)* is a set of line
integrals. The `fanbeam`

function computes the line integrals along
paths that radiate from a single source, forming a fan shape. To represent an image, the
`fanbeam`

function takes multiple projections of the image from
different angles by rotating the source around the center of the image. The following
figure shows a single fan-beam projection at a specified rotation angle.

**Fan-Beam Projection at Rotation Angle Theta**

When you compute fan-beam projection data using the `fanbeam`

function, you specify as arguments an image and the distance between the vertex of the
fan-beam projections and the center of rotation (the center pixel in the image). The
`fanbeam`

function determines the number of beams, based on the
size of the image and the settings of `fanbeam`

parameters.

The `FanSensorGeometry`

parameter specifies how sensors are aligned:
`'arc'`

or `'line'`

.

Fan Sensor Geometry | Description |
---|---|

`'arc'` | `fanbeam` positions the sensors along an arc,
spacing the sensors at 1 degree intervals. Use the
`FanSensorSpacing` parameter to control the
distance between sensors by specifying the angle between each beam. This
is the default fan sensor geometry. |

`'line'` | `fanbeam` positions sensors along a straight line,
rather than an arc. Use the `FanSensorSpacing`
parameter to specify the distance between the sensors, in pixels, along
the x´ axis. |

The `FanRotationIncrement`

parameter specifies the rotation angle
increment. By default, `fanbeam`

takes projections at different angles
by rotating the source around the center pixel at 1 degree intervals.

The following figures illustrate both these geometries. The first figure illustrates
geometry used by the `fanbeam`

function when
`FanSensorGeometry`

is set to `'arc'`

(the
default). Note how you specify the distance between sensors by specifying the angular
spacing of the beams.

**Fan-Beam Projection with Arc Geometry**

The following figure illustrates the geometry used by the `fanbeam`

function when `FanSensorGeometry`

is set to `'line'`

.
In this figure, note how you specify the position of the sensors by specifying the
distance between them in pixels along the *x*´ axis.

**Fan-Beam Projection with Line Geometry**

### Image Reconstruction from Fan-Beam Projection Data

To reconstruct an image from fan-beam projection data, use the
`ifanbeam`

function. With this function, you specify as
arguments the projection data and the distance between the vertex of the fan-beam
projections and the center of rotation when the projection data was created. For
example, this code recreates the image `I`

from the projection data
`P`

and distance `D`

.

I = ifanbeam(P,D);

By default, the `ifanbeam`

function assumes that the fan-beam
projection data was created using the arc fan sensor geometry, with beams spaced at
1 degree angles and projections taken at 1 degree increments over a full 360 degree
range. As with the `fanbeam`

function, you can use
`ifanbeam`

parameters to specify other values for these
characteristics of the projection data. Use the same values for these parameters
that were used when the projection data was created. For more information about
these parameters, see `ifanbeam`

.

The `ifanbeam`

function converts the fan-beam projection data to
parallel-beam projection data with the `fan2para`

function, and
then calls the `iradon`

function to perform the image
reconstruction. For this reason, the `ifanfeam`

function supports
certain `iradon`

parameters, which it passes to the
`iradon`

function. See The Inverse Radon Transformation for more information about the
`iradon`

function.

### Reconstruct Image using Inverse Fanbeam Projection

This example shows how to use `fanbeam`

and `ifanbeam`

to form projections from a sample image and then reconstruct the image from the projections.

Generate a test image and display it. The test image is the Shepp-Logan head phantom, which can be generated by the `phantom`

function. The phantom image illustrates many of the qualities that are found in real-world tomographic imaging of human heads.

P = phantom(256); imshow(P)

Compute fan-beam projection data of the test image, using the `FanSensorSpacing`

parameter to vary the sensor spacing. The example uses the fanbeam arc geometry, so you specify the spacing between sensors by specifying the angular spacing of the beams. The first call spaces the beams at 2 degrees; the second at 1 degree; and the third at 0.25 degrees. In each call, the distance between the center of rotation and vertex of the projections is constant at 250 pixels. In addition, `fanbeam`

rotates the projection around the center pixel at 1 degree increments.

D = 250; dsensor1 = 2; F1 = fanbeam(P,D,'FanSensorSpacing',dsensor1); dsensor2 = 1; F2 = fanbeam(P,D,'FanSensorSpacing',dsensor2); dsensor3 = 0.25; [F3, sensor_pos3, fan_rot_angles3] = fanbeam(P,D,... 'FanSensorSpacing',dsensor3);

Plot the projection data `F3`

. Because `fanbeam`

calculates projection data at rotation angles from 0 to 360 degrees, the same patterns occur at an offset of 180 degrees. The same features are being sampled from both sides.

figure, imagesc(fan_rot_angles3, sensor_pos3, F3) colormap(hot); colorbar xlabel('Fan Rotation Angle (degrees)') ylabel('Fan Sensor Position (degrees)')

Reconstruct the image from the fan-beam projection data using `ifanbeam`

. In each reconstruction, match the fan sensor spacing with the spacing used when the projection data was created previously. The example uses the `OutputSize`

parameter to constrain the output size of each reconstruction to be the same as the size of the original image `P`

. In the output, note how the quality of the reconstruction gets better as the number of beams in the projection increases. The first image, `Ifan1`

, was created using 2 degree spacing of the beams; the second image, `Ifan2`

, was created using 1 degree spacing of the beams; the third image, `Ifan3`

, was created using 0.25 spacing of the beams.

output_size = max(size(P)); Ifan1 = ifanbeam(F1,D, ... 'FanSensorSpacing',dsensor1,'OutputSize',output_size); figure, imshow(Ifan1) title('Ifan1')

Ifan2 = ifanbeam(F2,D, ... 'FanSensorSpacing',dsensor2,'OutputSize',output_size); figure, imshow(Ifan2) title('Ifan2')

Ifan3 = ifanbeam(F3,D, ... 'FanSensorSpacing',dsensor3,'OutputSize',output_size); figure, imshow(Ifan3) title('Ifan3')