Science and evidence

1956–1979

Cormack’s Tomography Problem: Measurement Is Not Reconstruction

Explore Allan Cormack’s original tomography problem, distinguish attenuation from an interior image and solve a two-by-two reconstruction ambiguity.

Original documentary or teaching figure for Cormack’s Tomography Problem: Measurement Is Not Reconstruction. Fictional unitless additive grids, not patient data, a physical scanner or Cormack’s complete method.
2
Candidate interiors
4
Dependent totals
1979
Shared Medicine Nobel

The short answer

What does an X-ray transmission measurement tell us, and why can a few combined readings leave more than one possible interior?

Read the evidence

What each observation can establish

Keep the measured quantity separate from the inference.

Historical evidence and fictional teaching examples are explicitly distinguished.
Record or exerciseWhat is observedWhat followsLimit
Transmission modelg = ln(I₀/I)Combined attenuation along a pathNot a direct photograph of internal cells.
Fictional A and BRows 3, 7; columns 4, 6Two candidate interiors fitFour dependent totals are insufficient.
Extra fictional readingTop-left cell = 1Selects A from these candidatesNot a complete clinical reconstruction algorithm.

Chronology

A timeline of the turning points

  1. Records in context

    Fictional unitless additive grids, not patient data, a physical scanner or Cormack’s complete method.

From transmitted intensity to a path measurement

Cormack’s lecture writes logarithmic attenuation as g = ln(I₀/I), where I₀ is incident intensity and I is transmitted intensity. In the model discussed, this quantity represents accumulated attenuation along the ray’s path. A single path measurement therefore combines contributions from material encountered along that path.

The historical problem arose from material with varying attenuation, rather than a uniform object. Reconstructing that variation is an inverse problem: infer an internal distribution from observations made along paths. The measured number and the reconstructed distribution are different objects.

Sources for this section: [1]

Two different interiors with the same sums

Our fictional 2 × 2 model gives unitless additive cell values. Interior A has rows [1, 2] and [3, 4]. Interior B has rows [2, 1] and [2, 5]. In both, the row totals are 3 and 7 and the column totals are 4 and 6. Different internal values can therefore match these four stated sums.

This is a deliberately simplified ambiguity example, not a physical CT scan. Cell values, equal weights and row/column paths are supplied premises. It shows why these readings are insufficient; it does not prove that actual tomography is impossible or reproduce Cormack’s complete reconstruction method.

Sources for this section: [1]

Worked questions and the missing information

Question 1: verify the second column of B. Answer: 1 + 5 = 6, equal to A’s 2 + 4. Question 2: do four totals determine four cells uniquely? Answer: not here. The totals are dependent because the sum of the rows equals the sum of the columns. Counting equations alone misses that dependence.

Question 3: suppose an additional fictional, exact measurement directly gives the top-left cell as 1. Which of these two candidate interiors remains? Answer: A. That discriminates between these candidates. It is not a claim that one extra measurement solves every possible real scanner geometry, noise problem or arbitrary interior.

Sources for this section: [1]

What the historical record adds

Cormack’s lecture distinguishes the Cape Town hospital problem from his later experimental and mathematical work. His 1963–1964 publications and Hounsfield’s independent engineering contribution belong to the path towards the shared 1979 Nobel Prize in Physiology or Medicine. An equation alone was not a complete hospital scanner.

The selected opening lecture pages were inspected for the problem, equation and experimental account. This guide does not validate a clinical algorithm, specify radiation exposure or interpret a patient image. Its original diagram lets the reader check one precisely defined ambiguity by arithmetic.

Sources for this section: [1] · [2] · [3]

Continue the chronology

Biography context

Explore South Africa and United States through connected lives

Connected biographies

Researchers and context

South AfricaCulture

1924–1998

Allan M. Cormack

Physicist and tomography researcherAllan M. Cormack investigated how measurements of X-ray attenuation could reveal an object’s interior, work recognised by a shared Nobel Prize in 1979.Read biography

Quick answers

Common questions

Does this prove CT cannot reconstruct an interior?
No. It proves only that the limited row/column readings in the explicitly simplified example are insufficient.
Are the two-by-two grids Cormack’s experimental data?
No. They are original fictional teaching values with a fully stated additive model.

Primary and institutional sources

How this history was checked

Original records, selected source scopes and later institutional accounts are distinguished below. Exercises and diagrams are our own explanatory work. This article was reviewed on 28 October 2026.

  1. Allan M. Cormack; Nobel lecture, 1979Early two-dimensional reconstruction: selected PDF pages 1–3
  2. Allan M. Cormack; Nobel PrizeAutobiography
  3. Nobel Prize1979 prize facts