This topic will cover the history, principles, and basic concepts of computed tomography, including how CT scans are used in medical imaging.
Introduction to Computed Tomography (CT)
Designed as a concise, study‑friendly overview.
| Concept | Description | Relevance to CT |
|---|---|---|
| X‑ray Attenuation | Photons are absorbed or scattered as they pass through matter; attenuation depends on density and atomic number. | Determines contrast between different tissues. |
| Beer‑Lambert Law | (I = I_0 , e^{-\mu x}) where (I) = transmitted intensity, (I_0) = incident intensity, (\mu) = linear attenuation coefficient, (x) = path length. | Basis for converting raw detector signals to attenuation values. |
| Radon Transform | Mathematical operation that integrates a function over straight lines; each X‑ray projection is a line integral of attenuation. | The set of projections collected at many angles constitutes the Radon data used for reconstruction. |
| Filtered Back‑Projection (FBP) | Classical reconstruction algorithm: each projection is filtered (high‑frequency boost) then back‑projected across the image space. | Fast, widely used in clinical scanners. |
| Iterative Reconstruction (IR) | Starts with an initial guess, simulates projections, compares to measured data, and updates the guess repeatedly. | Reduces noise and radiation dose; increasingly common. |
X‑ray Tube
Gantry
Detector Array
Patient Table (Couch)
Computer System
| Mode | Description | Typical Applications |
|---|---|---|
| Axial (Step‑and‑Shoot) | Table stops; a single rotation acquires one slice. | High‑resolution brain, temporal bone imaging. |
| Helical (Spiral) | Table continuously translates while the gantry rotates, producing |