Literature DB >> 25840620

A Monte Carlo software bench for simulation of spectral k-edge CT imaging: Initial results.

Radin A Nasirudin1, Petar Penchev2, Kai Mei3, Ernst J Rummeny3, Martin Fiebich2, Peter B Noël3.   

Abstract

PURPOSE: Spectral Computed Tomography (SCT) systems equipped with photon counting detectors (PCD) are clinically desired, since such systems provide not only additional diagnostic information but also radiation dose reductions by a factor of two or more. The current unavailability of clinical PCDs makes a simulation of such systems necessary.
METHODS: In this paper, we present a Monte Carlo-based simulation of a SCT equipped with a PCD. The aim of this development is to facilitate research on potential clinical applications. Our MC simulator takes into account scattering interactions within the scanned object and has the ability to simulate scans with and without scatter and a wide variety of imaging parameters. To demonstrate the usefulness of such a MC simulator for development of SCT applications, a phantom with contrast targets covering a wide range of clinically significant iodine concentrations is simulated. With those simulations the impact of scatter and exposure on image quality and material decomposition results is investigated.
RESULTS: Our results illustrate that scatter radiation plays a significant role in visual as well as quantitative results. Scatter radiation can reduce the accuracy of contrast agent concentration by up to 15%.
CONCLUSIONS: We present a reliable and robust software bench for simulation of SCTs equipped with PCDs.
Copyright © 2015 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Material decomposition; Monte Carlo simulation; Photon-counting detectors; Spectral CT

Mesh:

Year:  2015        PMID: 25840620     DOI: 10.1016/j.ejmp.2015.03.003

Source DB:  PubMed          Journal:  Phys Med        ISSN: 1120-1797            Impact factor:   2.685


  1 in total

1.  Narrow-Energy-Width CT Based on Multivoltage X-Ray Image Decomposition.

Authors:  Jiaotong Wei; Yan Han; Ping Chen
Journal:  Int J Biomed Imaging       Date:  2017-11-07
  1 in total

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