title: Supplemental analysis on compressed sensing based interior tomography.
abstract: Recently, in the compressed sensing framework we proved that an interior ROI can be exactly reconstructed via the total variation minimization if the ROI is piecewise constant. In the proofs, we implicitly utilized the property that if an artifact image assumes a constant value within the ROI, then this constant must be zero. Here we prove this property in the space of square integrable functions.
authors.affiliation: CT Laboratory, Biomedical Imaging Division, VT-WFU School of Biomedical Engineering, Virginia Tech, Blacksburg, VA 24061, USA. hengyong-yu@ieee.org
authors.forename: Hengyong
authors.initials: H
authors.lastname: Yu
authors.forename: Jiansheng
authors.initials: J
authors.lastname: Yang
authors.forename: Ming
authors.initials: M
authors.lastname: Jiang
authors.forename: Ge
authors.initials: G
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D044962:Data Compression / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*