Two applications of number theory to discrete tomography - Archive ouverte HAL
Article Dans Une Revue Hardy-Ramanujan Journal Année : 2019

Two applications of number theory to discrete tomography

Résumé

Tomography is the theory behind scans, e.g. MRI-scans. Most common is continuous tomography where an object is reconstructed from numerous projections. In some cases this is not applicable, because the object changes too quickly or is damaged by making hundreds of projections (by X-rays). In such cases discrete tomography may apply where only few projections are made. The present paper shows how number theory helps to provide insight in the application and structure of discrete tomography.
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Dates et versions

hal-01986704 , version 1 (19-01-2019)

Identifiants

Citer

Rob Tijdeman. Two applications of number theory to discrete tomography. Hardy-Ramanujan Journal, 2019, Atelier Digit_Hum, pp.98 - 103. ⟨10.46298/hrj.2019.5111⟩. ⟨hal-01986704⟩
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