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Modeling of resolution of x-ray imaging detectors


Modeling of resolution of x-ray imaging detectors

Shen, Wenyuan (2009) Modeling of resolution of x-ray imaging detectors. Masters thesis, Concordia University.

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A flat-panel detector based on a photoconductive detector with an active matrix array provides superior x-ray images. Amorphous selenium (a-Se) is currently the best choice of photoconductor for clinical x-ray image detectors. Spatial resolution in terms of modulation transfer function (MTF) is an important metric to examine the image quality of a detector. Based on current understanding for diagnostic energy x-rays, the dominant mechanisms responsible for the loss of resolution are: charge carrier trapping, range of primary photoelectrons, and reabsorption of K-fluorescent x-ray photons. Any trapped carrier in the photoconductor layer induces charges not only on the corresponding pixel but also on the neighbouring pixels, and consequently there is a lateral spread of the signal. The absorption of x-ray in the photoconductor first creates a high energy photoelectron that creates hundreds of electron-hole pairs (EHP) along its arbitrary path. This creates an EHP cloud within a volume and destroys image resolution. Some of the K-fluorescent x-ray photons may be reabsorbed at different points within the detector which creates the loss of resolution. In this thesis, a semi-analytical model for calculating MTF due to the reabsorption of K-fluorescent x-ray photons is proposed. A complete MTF model is proposed and it is evaluated as a function of material properties (carrier lifetime), detector thickness, x-ray photon energy and operating field applied. The analytical MTF model is compared with the published experimental data on various x-ray detectors and shows very good agreement. The overall MTF model can be applied to other direct-conversion detectors such as HgI 2 , PbO and CdZnTe x-ray image detectors as well

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Electrical and Computer Engineering
Item Type:Thesis (Masters)
Authors:Shen, Wenyuan
Pagination:xv, 93 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Electrical and Computer Engineering
Thesis Supervisor(s):Kabir, M. Z
Identification Number:LE 3 C66E44M 2010 S54
ID Code:976676
Deposited By: Concordia University Library
Deposited On:22 Jan 2013 16:30
Last Modified:13 Jul 2020 20:10
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