Literature DB >> 21302777

The role of x-ray Swank factor in energy-resolving photon-counting imaging.

Jesse Tanguay1, Ho Kyung Kim, Ian A Cunningham.   

Abstract

PURPOSE: Energy-resolved x-ray imaging has the potential to improve contrast-to-noise ratio by measuring the energy of each interacting photon and applying optimal weighting factors. The success of energy-resolving photon-counting (EPC) detectors relies on the ability of an x-ray detector to accurately measure the energy of each interacting photon. However, the escape of characteristic emissions and Compton scatter degrades spectral information. This article makes the theoretical connection between accuracy and imprecision in energy measurements with the x-ray Swank factor for a-Se, Si, CdZnTe, and HgI2-based detectors.
METHODS: For a detector that implements adaptive binning to sum all elements in which x-ray energy is deposited for a single interaction, energy imprecision is shown to depend on the Swank factor for a large element with x rays incident at the center. The response function for each converter material is determined using Monte Carlo methods and used to determine energy accuracy, Swank factor, and relative energy imprecision in photon-energy measurements.
RESULTS: For each material, at energies below the respective K edges, accuracy is close to unity and imprecision is only a few percent. Above the K-edge energies, characteristic emission results in a drop in accuracy and precision that depends on escape probability. In Si, and to some extent a-Se, Compton-scatter escape also degrades energy precision with increasing energy. The influence of converter thickness on energy accuracy and imprecision is modest for low-Z materials but becomes important when using high-Z materials at energies greater than the K-edge energies.
CONCLUSIONS: Accuracy and precision in energy measurements by EPC detectors are determined largely by the energy-dependent x-ray Swank factor. Modest decreases in the Swank factor (5%-15%) result in large increases in relative imprecision (30%-40%).

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Mesh:

Year:  2010        PMID: 21302777     DOI: 10.1118/1.3512794

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  12 in total

Review 1.  Vision 20/20: Single photon counting x-ray detectors in medical imaging.

Authors:  Katsuyuki Taguchi; Jan S Iwanczyk
Journal:  Med Phys       Date:  2013-10       Impact factor: 4.071

2.  Estimation of signal and noise for a whole-body research photon-counting CT system.

Authors:  Zhoubo Li; Shuai Leng; Zhicong Yu; Steffen Kappler; Cynthia H McCollough
Journal:  J Med Imaging (Bellingham)       Date:  2017-06-22

3.  Feasibility of Dose-reduced Chest CT with Photon-counting Detectors: Initial Results in Humans.

Authors:  Rolf Symons; Amir Pourmorteza; Veit Sandfort; Mark A Ahlman; Tracy Cropper; Marissa Mallek; Steffen Kappler; Stefan Ulzheimer; Mahadevappa Mahesh; Elizabeth C Jones; Ashkan A Malayeri; Les R Folio; David A Bluemke
Journal:  Radiology       Date:  2017-07-28       Impact factor: 11.105

4.  Improving pulse detection in multibin photon-counting detectors.

Authors:  Scott S Hsieh; Norbert J Pelc
Journal:  J Med Imaging (Bellingham)       Date:  2016-06-01

5.  Evaluation of models of spectral distortions in photon-counting detectors for computed tomography.

Authors:  Jochen Cammin; Steffen Kappler; Thomas Weidinger; Katsuyuki Taguchi
Journal:  J Med Imaging (Bellingham)       Date:  2016-05-06

Review 6.  Energy-sensitive photon counting detector-based X-ray computed tomography.

Authors:  Katsuyuki Taguchi
Journal:  Radiol Phys Technol       Date:  2017-01-30

7.  Dual energy CT with one full scan and a second sparse-view scan using structure preserving iterative reconstruction (SPIR).

Authors:  Tonghe Wang; Lei Zhu
Journal:  Phys Med Biol       Date:  2016-08-23       Impact factor: 3.609

8.  Deriving depth-dependent light escape efficiency and optical Swank factor from measured pulse height spectra of scintillators.

Authors:  Adrian Howansky; Boyu Peng; Anthony R Lubinsky; Wei Zhao
Journal:  Med Phys       Date:  2017-02-13       Impact factor: 4.071

9.  Low-dose lung cancer screening with photon-counting CT: a feasibility study.

Authors:  Rolf Symons; Tyler E Cork; Pooyan Sahbaee; Matthew K Fuld; Steffen Kappler; Les R Folio; David A Bluemke; Amir Pourmorteza
Journal:  Phys Med Biol       Date:  2016-12-17       Impact factor: 3.609

10.  Photon-Counting CT of the Brain: In Vivo Human Results and Image-Quality Assessment.

Authors:  A Pourmorteza; R Symons; D S Reich; M Bagheri; T E Cork; S Kappler; S Ulzheimer; D A Bluemke
Journal:  AJNR Am J Neuroradiol       Date:  2017-10-05       Impact factor: 3.825

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