Title :
Allowable Forward Model Misspecification for Accurate Basis Decomposition in a Silicon Detector Based Spectral CT
Author :
Bornefalk, Hans ; Persson, Mats ; Danielsson, Mats
Author_Institution :
Dept. of Phys., AlbaNova Univ. Center, Stockholm, Sweden
Abstract :
Material basis decomposition in the sinogram domain requires accurate knowledge of the forward model in spectral computed tomography (CT). Misspecifications over a certain limit will result in biased estimates and make quantum limited (where statistical noise dominates) quantitative CT difficult. We present a method whereby users can determine the degree of allowed misspecification error in a spectral CT forward model and still have quantification errors that are limited by the inherent statistical uncertainty. For a particular silicon detector based spectral CT system, we conclude that threshold determination is the most critical factor and that the bin edges need to be known to within 0.15 keV in order to be able to perform quantum limited material basis decomposition. The method as such is general to all multibin systems.
Keywords :
computerised tomography; error analysis; silicon; statistical analysis; CT quantification errors; CT statistical uncertainty; accurate basis decomposition; allowable forward model misspecification; computed tomography quantification errors; computed tomography statistical uncertainty; electron volt energy 0.15 keV; multibin system; quantitative CT; quantitative computed tomography; quantum limited material basis decomposition; silicon detector based spectral CT system; silicon detector based spectral computed tomography system; sinogram domain material basis decomposition; spectral CT forward model; spectral CT misspecification error; spectral computed tomography forward model; spectral computed tomography misspecification error; statistical noise; Computed tomography; Detectors; Image reconstruction; Photonics; Silicon; Uncertainty; Accuracy; forward model; photon counting multibin computed tomography (CT); quantification; spectral CT;
Journal_Title :
Medical Imaging, IEEE Transactions on
DOI :
10.1109/TMI.2014.2361680