title: A CT reconstruction approach from sparse projection with adaptive-weighted diagonal total-variation in biomedical application.
abstract: For lack of directivity in Total Variation (TV) which only uses x-coordinate and y-coordinate gradient transform as its sparse representation approach during the iteration process, this paper brought in Adaptive-weighted Diagonal Total Variation (AwDTV) that uses the diagonal direction gradient to constraint reconstructed image and adds associated weights which are expressed as an exponential function and can be adaptively adjusted by the local image-intensity diagonal gradient for the purpose of preserving the edge details, then using the steepest descent method to solve the optimization problem. Finally, we did two sets of numerical simulation and the results show that the proposed algorithm can reconstruct high-quality CT images from few-views projection, which has lower Root Mean Square Error (RMSE) and higher Universal Quality Index (UQI) than Algebraic Reconstruction Technique (ART) and TV-based reconstruction method.
authors.affiliation: Key Laboratory of Opto-Electronics Technology & System, Chongqing University, Ministry of Education, Chongqing 400044, China.
authors.forename: Luzhen
authors.initials: L
authors.lastname: Deng
authors.affiliation: Key Laboratory of Opto-Electronics Technology & System, Chongqing University, Ministry of Education, Chongqing 400044, China.
authors.forename: Deling
authors.initials: D
authors.lastname: Mi
authors.affiliation: Key Laboratory of Opto-Electronics Technology & System, Chongqing University, Ministry of Education, Chongqing 400044, China.
authors.forename: Peng
authors.initials: P
authors.lastname: He
authors.affiliation: Key Laboratory of Opto-Electronics Technology & System, Chongqing University, Ministry of Education, Chongqing 400044, China.
authors.forename: Peng
authors.initials: P
authors.lastname: Feng
authors.affiliation: Key Laboratory of Opto-Electronics Technology & System, Chongqing University, Ministry of Education, Chongqing 400044, China.
authors.forename: Pengwei
authors.initials: P
authors.lastname: Yu
authors.affiliation: Key Laboratory of Opto-Electronics Technology & System, Chongqing University, Ministry of Education, Chongqing 400044, China.
authors.forename: Mianyi
authors.initials: M
authors.lastname: Chen
authors.affiliation: The Radiology Department, Affiliated Southwest Hospital, Third Military Medical University, Chongqing 400038, China.
authors.forename: Zhichao
authors.initials: Z
authors.lastname: Li
authors.affiliation: The Radiology Department, Affiliated Southwest Hospital, Third Military Medical University, Chongqing 400038, China.
authors.forename: Jian
authors.initials: J
authors.lastname: Wang
authors.affiliation: Key Laboratory of Opto-Electronics Technology & System, Chongqing University, Ministry of Education, Chongqing 400044, China.
authors.forename: Biao
authors.initials: B
authors.lastname: Wei
mesh_terms: D000465:Algorithms; D044962:Data Compression / Q000379:methods*; D006801:Humans; D019047:Phantoms, Imaging; D011856:Radiographic Image Enhancement / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D014057:Tomography, X-Ray Computed / Q000379:methods*
keywords: Computed tomography (CT); adaptive-weighted diagonal total variation (AwDTV); compressive sensing (CS); sparse projection