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- W2531749967 abstract "X-ray computed tomography (CT) is one of the most widely used imaging modalities for diagnostic tasks in the clinical application. As X-ray dosage given to the patient has potential to induce undesirable clinical consequences, there is a need for reduction in dosage while maintaining good quality in reconstruction.This report explores the roles of concept of sparsity and sparsifying trans-forms via Frames, Wavelets etc. and their relevance to low-dose tomography. After giving detailed descriptions of basics of Computed Tomography, Frames/Wavelets and Compressive Sensing Theory, the report proposes a TV-norm based method for the reconstruction of Tomography. Finally, the report ends with some discussion on simulation results." @default.
- W2531749967 created "2016-10-21" @default.
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- W2531749967 date "2015-01-01" @default.
- W2531749967 modified "2023-09-26" @default.
- W2531749967 title "On the roles of sparsity and sparsifying transforms in Computerized Tomography" @default.
- W2531749967 hasPublicationYear "2015" @default.
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