SYSTEM NOTE
Shadows can remember an interior.
This chamber is a visual approximation of projection data, sinogram accumulation, and backprojection. It is not a clinical CT tool or a rigorous reconstruction solver.
OBSERVATION CHAMBER / MVP
Radon Transform Scanner
A visual Radon-transform model for observing projection data, sinograms, backprojection, filtered comparison, and noisy measurement effects.
radon
Prototype
RADON TRANSFORM SCANNER
Scan a phantom from many angles, stack the shadows into a sinogram, and watch a visual backprojection model recover the hidden structure.
First observation
Use SCAN to add projection angles, SINO to read the sinogram, and COMPARE to contrast plain and filtered backprojection.
PHANTOM / SINOGRAM / BACKPROJECTION
angles 24 / samples 72
OBS-000 / SCAN / 00:00
OBSERVATION POINTS
Projection, sinogram, reconstruction.
- SCAN records one more angle of line-integral data.
- SINO shows the accumulated projection rows as a sinogram.
- RECON smears projections back into the image plane so the phantom begins to reappear.
- FILTERED and COMPARE show why edge-weighted projection data can recover sharper boundaries.
SYSTEM NOTE
R_f(theta, s) = integral f(x, y) delta(s - x cos theta - y sin theta) dx dy. The chamber reads projections as line integrals, stacks them into a sinogram, then visualizes simple and filtered backprojection as observation models.
OBSERVATION GUIDE
Touchpoints for Observation
Observe how many one-dimensional shadows can carry information about a hidden two-dimensional phantom.
- Use SCAN to collect projection rows, SINO to read the sinogram, RECON to smear shadows back into the plane, and FILTERED or COMPARE to see the edge-weighted reconstruction cue.
- Angles increase the number of projection directions.
- Samples increase the resolution along each detector line.
- Noise makes the sinogram rougher, which makes the reconstruction less certain.
This is a visual approximation of Radon-transform reconstruction. It is not a clinical CT tool and not a rigorous numerical reconstruction solver.
Runs inside the browser with no upload and no registration.
OBSERVATION POLICY
This lab runs in your browser. No image, pointer trace, or input is uploaded by this prototype.
OBSERVATION LOG
Observation logging will be connected with moderation in a later build.