SparseCT: System concept and design of multislit collimators

Baiyu Chen, Erich Kobler, Matthew J Muckley, Aaron D Sodickson, Thomas O’Donnell, Thomas Flohr, Bernahrd Schmidt, Daniel K. Sodickson, Ricardo Otazo

Research output: Contribution to journalArticlepeer-review


SparseCT, an undersampling scheme for compressed sensing (CS) computed tomography (CT), has been proposed to reduce radiation dose by acquiring undersampled projection data from clinical CT scanners (Koesters et al. in, SparseCT: Interrupted‐Beam Acquisition and Sparse Reconstruction for Radiation Dose Reduction; 2017). SparseCT partially blocks the x‐ray beam with a multislit collimator (MSC) to perform a multidimensional undersampling along the view and detector row dimensions. SparseCT undersamples the projection data within each view and moves the MSC along the z‐direction during gantry rotation to change the undersampling pattern. It enables reconstruction of images from undersampled data using CS algorithms. The purpose of this work is to design the spacing and width of the MSC slits and the MSC motion patterns based on beam separation, undersampling efficiency …
Original languageEnglish
Pages (from-to)2589-2599
JournalMedical Physics
Issue number6
Publication statusPublished - 2019


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