Characterization of statistical prior image constrained compressed sensing (PICCS): II. Application to dose reduction - Lauzier, Pascal Thériault; Chen, Guang-Hong (Medical physics (Lancaster), 2013)
Keywords: 60 APPLIED LIFE SCIENCES; Algorithms; Animals; ANISOTROPY; CAT SCANNING; compressed sensing; Computed tomography; Computerised tomographs; computerised tomography; COMPUTERIZED SIMULATION; Contrast; CT dose reduction; data compression; DIFFUSION; Digital computing or data processing equipment or methods, specially adapted for specific applications; DOSES; EVALUATION; FILTERS; image coding; Image coding, e.g. from bit‐mapped to non bit‐mapped; Image data processing or generation, in general; image denoising; Image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image; IMAGE PROCESSING; Image Processing, Computer-Assisted - methods; image quality evaluation; image reconstruction; IN VIVO; Medical image noise; medical image processing; Medical image reconstruction; Medical image spatial resolution; Medical imaging; Methods or arrangements for processing data by operating upon the order or content of the data handled; Noise; optical transfer function; PATIENTS; PHANTOMS; Radiation Dosage; Radiation Imaging Physics; RADIOLOGY AND NUCLEAR MEDICINE; Reconstruction; Signal-To-Noise Ratio; SPATIAL DISTRIBUTION; SPATIAL RESOLUTION; statistical image reconstruction; Statistical model calculations; STATISTICAL MODELS; Statistics as Topic; Tomography, X-Ray Computed - methods; X-RAY DETECTION; X‐ray imaging; computed tomography; CT dose reduction; image quality evaluation; compressed sensing; statistical image reconstruction