Algorithms For Reconstruction

A. C. Kak

doi:10.1117/12.954652

11 March 1976 Algorithms For Reconstruction

A. C. Kak

Proceedings Volume 0072, Cardiovascular Imaging and Image Processing: Theory and Practice; (1976) https://doi.org/10.1117/12.954652
Event: Cardiovascular Imaging and Image Processing: Theory and Practice, 1975, Palo Alto, United States

Abstract

The problem of digitally reconstructing the image of the internal structure of an object from measurements of its two dimension-al projections, resulting from transmission of radiation through the object, has been of interest in mathematics, radio-astronomy, and biological sciences for over 50 years. About four years ago this problem suddenly assumed major importance in medical engineering after Houncefield and his associates announced the development of a sophisticated computerized x-ray scanning system capable of reconstructing cross-sectional images (tomograms) of the human head with high tissue-density discrimi-nation capability [23]. This development was heralded as a major breakthrough in diagnostic radiology because it, for the first time, permitted non-invasive visualization of the ventricles of the brain, as well as a large class of brain tumors and injuries. More recent research has demonstrated the success of this type of imaging with other parts of the human body.

Citation Download Citation

A. C. Kak "Algorithms For Reconstruction", Proc. SPIE 0072, Cardiovascular Imaging and Image Processing: Theory and Practice, (11 March 1976); https://doi.org/10.1117/12.954652

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