A Reconstruction Algorithm from Truncated Projections

Koichi Ogawa, Masato Nakajima, Shin'ichi Yuta

Research output: Contribution to journalArticlepeer-review

48 Citations (Scopus)


A new tomographic reconstruction method is proposed which permits the reconstruction of a region of interest within a slice from partially truncated scanning data. This method utilizes two types of source data, namely a series of truncated projections and the outline of the object's cross section. The principle of this algorithm is to estimate the outside area of truncation in one projection from the projection data of the other viewing angles and the outline data of the object. The above estimation is accomplished by following two repeated procedures: 1) the modification of the calculated projection data compared each time with the already measured projection data of the truncated area, and 2) the modification of the reconstructed image compared also each time with the shape of the object. Computer simulation shows the convergence of the results obtained by this algorithm thus verifying its validity, and a reconstructed image after iterative processes exhibits good quality.

Original languageEnglish
Pages (from-to)34-40
Number of pages7
JournalIEEE Transactions on Medical Imaging
Issue number1
Publication statusPublished - 1984
Externally publishedYes

ASJC Scopus subject areas

  • Software
  • Radiological and Ultrasound Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering


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