title: Estimation of missing data using windowed linear prediction in laterally truncated projections in cone-beam CT.
abstract: In this paper, we address the reconstruction problem from laterally truncated helical cone-beam projections. The reconstruction problem from lateral truncation, though similar to that of interior radon problem, is slightly different from it as well as the local (lambda) tomography and pseudo-local tomography in the sense that we aim to reconstruct the entire object being scanned from a region-of-interest (ROI) scan data. The method proposed in this paper is a projection data completion approach followed by the use of any standard accurate FBP type reconstruction algorithm. In particular, we explore a windowed linear prediction (WLP) approach for data completion and compare the quality of reconstruction with the linear prediction (LP) technique proposed earlier.
authors.affiliation: Indian Institute of Science, Bangalore, India. anoopkp@ee.iisc.ernet.in
authors.forename: K P
authors.initials: KP
authors.lastname: Anoop
authors.forename: K
authors.initials: K
authors.lastname: Rajgopal
mesh_terms: D000465:Algorithms; D054893:Cone-Beam Computed Tomography / Q000379:methods*; D007091:Image Processing, Computer-Assisted; D019047:Phantoms, Imaging; D011857:Radiographic Image Interpretation, Computer-Assisted