X-ray CTMRINuclear MedicineFrontiers

Learn CT by doing

An interactive course on the principles of X-ray CT. Starting from attenuation and line integrals, it works through sinograms, backprojection, FBP, cone-beam and industrial CT, iterative reconstruction, dose and image quality, artifacts, and deep learning. The later parts show how the same reconstruction mathematics reappears in MRI and nuclear medicine (PET/SPECT), and reach beyond CT to tomosynthesis, photoacoustic, and electron tomography.

p(s,θ)=L(s,θ)μ(x,y)dlp(s,\theta) = \int_{L(s,\theta)} \mu(x, y)\, dl
The definition of a projection. This line integral is the protagonist of the CT part.

It is written for students, radiologic technologists, and engineers who want to understand tomographic imaging both through the mathematics and through intuition. Basic calculus and trigonometry are all that is assumed; every concept is introduced as it appears.

Each chapter opens with a short explanation and the key formulas, followed by an interactive simulation. Don't just read: drag the sliders, press the buttons, and see for yourself how each parameter shapes the projections and the reconstructed image. Reading in order from Chapter 1 is recommended, but feel free to jump to whatever interests you.

Chapters

X-ray CT

CT principles and reconstruction, medical to industrial

14 chapters

Chapter 1X-rays and Attenuation

Move a single ray around to grasp the Beer–Lambert law and what a projection means.

Chapter 2Forward Projection and the Sinogram

See through the Radon transform how an object maps into measured data (the sinogram).

Chapter 3Simple Backprojection

Find out why merely smearing the measurements back produces a 1/r blur.

Chapter 4Filtered Backprojection

Derive the ramp filter from the Fourier slice theorem and arrive at FBP, the standard method.

Chapter 5Fan-Beam & Helical CT

Fan-beam geometry and reconstruction, plus helical scanning and pitch in clinical CT.

Chapter 6Cone-Beam CT and FDK

Run the 3D FDK reconstruction in your browser and observe cone artifacts.

Chapter 7Industrial CT

Rotate the part and magnify it. Geometric magnification and focal-spot size set the resolution for NDT and metrology.

Chapter 8Iterative Reconstruction

ART, SIRT, and MLEM/OSEM: solving the equations iteratively, and low-dose CT.

Chapter 9Dose & Image Quality

Where noise comes from: measuring σ∝1/√dose, CTDI and DLP, and quantitative filter comparison via MTF and NPS.

Chapter 10Sparse-View Reconstruction

Can the image survive 1/8 of the projections? Compressed sensing and TV regularization (ASD-POCS) compared live.

Chapter 11Artifacts and Their Reduction

Beam hardening, metal, rings, motion, and scatter: see each cause and its remedy in simulation.

Chapter 12Deep Learning and AI for CT

Train a tiny CNN denoiser in your browser and probe the limits of its generalization.

Chapter 13Spectral CT & Photon Counting

Energy is information: live dual-energy material decomposition and VMI, plus a survey of PCCT and the reconstruction research frontier (diffusion models, INRs).

Chapter 14Playground

A laboratory for combining the ingredients of all chapters and comparing two pipelines A/B.

MRI

Magnetic resonance imaging

4 chapters

Nuclear Medicine

Emission tomography (PET/SPECT)

1 chapters

Frontiers

Limited angle, and tomography beyond CT

3 chapters

CT Lab: an interactive CT course

This is a simplified simulation for educational purposes; it does not fully reproduce the physics, construction, or image quality of real imaging systems.