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The Fourier reconstruction of a head section

IEEE Transactions on Nuclear Science · 1974 · Vol. 21(3) · pp. 21–43

Abstract

The Fourier reconstruction may be viewed simply in the spatial domain as the sum of each line integral times a weighting function of the distance from the line to the point of reconstruction. A modified weighting function simultaneously achieves accuracy, simplicity, low computation time, as well as low sensitivity to noise. Using a simulated phantom, the authors compare the Fourier algorithm and a search algorithm. The search algorithm required 12 iterations to obtain a reconstruction of accuracy and resolution comparable to that of the Fourier reconstruction, and was more sensitive to noise. To speed the search algorithm by using fewer interactions leaves decreased resolution in the region just inside the skull which could mask a subdural hematoma.

Spinal Fractures and Fixation TechniquesMeningioma and schwannoma managementHead and Neck Surgical OncologyFourier transformIterative reconstructionAlgorithmImaging phantomWeightingNoise (video)Reconstruction algorithmImage resolutionComputationFrequency domain
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