Quantitative Study Of Deconvolution And Display Mappings For Long-Tailed Point-Spread Functions

J. P. Rolland; H. H. Barrett; G. W. Seeley

doi:10.1117/12.953240

25 May 1989 Quantitative Study Of Deconvolution And Display Mappings For Long-Tailed Point-Spread Functions

J. P. Rolland, H. H. Barrett, G. W. Seeley

Proceedings Volume 1092, Medical Imaging III: Image Processing; (1989) https://doi.org/10.1117/12.953240
Event: Medical Imaging III, 1989, Newport Beach, CA, United States

Abstract

An important goal in medical imaging is to increase the accuracy of visual detection of small abnormal regions. The presence of scatter in the image degrades spatial resolution by introducing long tails to the point-spread function. We show in this paper that linear deconvolution can be used to improve the performance of the human observer in the two-hypothesis detection task. Also, we investigate the effect that linear grey-scale mappings have on the human observer performance. We demonstrate that they help the human observer in the detection task and can be used sequentially with deconvolution to yield a better performance.

Citation Download Citation

J. P. Rolland, H. H. Barrett, and G. W. Seeley "Quantitative Study Of Deconvolution And Display Mappings For Long-Tailed Point-Spread Functions", Proc. SPIE 1092, Medical Imaging III: Image Processing, (25 May 1989); https://doi.org/10.1117/12.953240

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