INGENIA

IMG-08

Pixel size FOV/N

Δx = FOV / N. The reconstructed pixel.

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GeometryPixel size

Governing equation

Δx=FOV/N\Delta x=\mathrm{FOV}/N

where

FOV
Field of view (mm)
N
Matrix size ()
\Delta x
Pixel size (mm)

Lecture brief

Historical brief

Larmor precession, CT Beer projections, SNR and Nyquist sampling are why MRI and CT images exist as numbers. The lab computes frequency, dose and resolution limits. This sheet (IMG-08 — Pixel size FOV/N) is the form associated with Pixel size. Working symbols: FOVFOV, NN \rightarrow Δx\Delta x. In MRI, Δx = 1/(N Δk) with Δk = 1/FOV. Smaller pixels cost SNR and time.

Purpose

Purpose: compute Δx\Delta x from FOVFOV, NN in Medical imaging via Δx=FOV/N\Delta x=\mathrm{FOV}/N Δx = FOV / N. The reconstructed pixel. Use it when a real medical imaging question must be answered in SI before a code check.

Live realistic example

In symbols

Live case. Given FOV=240.000mmFOV = 240.000\,\mathrm{mm}, N=256.000N = 256.000\,\mathrm{—}, the governing relation Δx=FOV/N\Delta x=\mathrm{FOV}/N yields Δx=0.938mm\Delta x = 0.938\,\mathrm{mm}. A FOV box divided into N bins. Move a slider: the numbers are this situation, not a canned story.

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Inputs

Outputs

  • Pixel size \Delta x0.938 mm
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IMG-08 · gauge
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Narration of this film

A FOV box divided into N bins.

In MRI, Δx = 1/(N Δk) with Δk = 1/FOV. Smaller pixels cost SNR and time.

Reading speed

Watch on YouTube