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Fractional scan algorithms for low‐dose perfusion CT
Author(s) -
Hsieh Jiang,
Wei Yuchuan,
Wang Ge
Publication year - 2004
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.1708653
Subject(s) - projection (relational algebra) , algorithm , interpolation (computer graphics) , perfusion , reduction (mathematics) , medical imaging , nuclear medicine , computer science , a priori and a posteriori , perfusion scanning , mathematics , computer vision , artificial intelligence , medicine , radiology , image (mathematics) , geometry , philosophy , epistemology
One of the key considerations in CT perfusion is the X‐ray dose received by the patient, since cine acquisition mode is typically used in which repeated x‐ray exposure occurs at the same anatomical location. In this technical note, we propose a new approach for dose reduction in which the X‐ray tube current is maintained and the number of projection views is reduced per gantry rotation. A projection interpolation algorithm and an image prediction algorithm are developed to address the incompleteness of such projection data. Both algorithms utilize a priori knowledge that the contrast‐uptake in perfusion images is gradual and predictable. As a result, excellent perfusion images can be reconstructed at a fraction of the nominal radiation dose.