Fan-beam tomography: flat detector¶

This page describes fan-beam tomographic image reconstruction using the Julia package Sinograms.jl.

This page focuses on fan-beam with a "flat" detector, i.e., one row of a flat-panel detector as used in many cone-beam CT (CBCT) systems.

This page was generated from a single Julia file: 05-fan-flat.jl.

Setup¶

Packages needed here.

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using Plots: plot, gui # these 2 must precede Sinograms for Requires to work!
using Unitful: cm
using Sinograms: SinoFanFlat, rays, plan_fbp, Window, Hamming, fbp, sino_geom_plot!
using ImageGeoms: ImageGeom, fovs, MaskCircle
using ImagePhantoms: SheppLogan, shepp_logan, radon, phantom
using MIRTjim: jim, prompt

The following line is helpful when running this file as a script; this way it will prompt user to hit a key after each figure is displayed.

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isinteractive() ? jim(:prompt, true) : prompt(:draw);

Fan-beam sinogram of Shepp-Logan phantom¶

For illustration, we start by synthesizing a fan-beam sinogram of the Shepp-Logan phantom.

For completeness, we use units (from Unitful), but units are optional.

Use ImageGeom to define the image geometry.

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ig = ImageGeom(MaskCircle(); dims=(128,126), deltas = (0.2cm,0.2cm) )

Use SinoFanFlat to define the sinogram geometry.

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rg = SinoFanFlat( ; nb = 130, d = 0.3cm, na = 100, dsd = 50cm, dod = 14cm)

Examine the geometry to verify the FOV:

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jim(axes(ig), ig.mask; prompt=false)
sino_geom_plot!(rg, ig)

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prompt()

Ellipse parameters for Shepp-Logan phantom:

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μ = 0.1 / cm # typical linear attenuation coefficient
ob = shepp_logan(SheppLogan(); fovs = fovs(ig), u = (1, 1, μ))

Arc fan-beam sinogram for Shepp-Logan phantom:

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sino = radon(rays(rg), ob)
jim(axes(rg), sino; title="Shepp-Logan sinogram", xlabel="r", ylabel="ϕ")

Image reconstruction via FBP¶

Here we start with a "plan", which would save work if we were reconstructing many images. For illustration we include Hamming window.

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plan = plan_fbp(rg, ig; window = Window(Hamming(), 1.0))
fbp_image = fbp(plan, sino)

A narrow color window is needed to see the soft tissue structures:

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clim = (0.9, 1.1) .* μ
jim(axes(ig), fbp_image, "FBP image for flat case"; clim)

For comparison, here is the ideal phantom image

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true_image = phantom(axes(ig)..., ob, 2)
jim(axes(ig)..., true_image, "True phantom image"; clim)

This notebook was generated using Literate.jl.