Literature DB >> 34250325

Assessment of Multienergy Interpixel Coincidence Counters (MEICC) for Charge Sharing Correction or Compensation for Photon Counting Detectors With Boxcar Signals.

Katsuyuki Taguchi1.   

Abstract

Recently, multi-energy inter-pixel coincidence counter (MEICC) has been proposed for charge sharing correction and compensation for photon counting detectors (PCDs), which uses energy-dependent coincidence counters to record coincident events between multiple energy windows of a pixel-of-interest and those of neighboring pixels. A Monte Carlo (MC) simulation study was performed to assess the performance of MEICC; however, the performance might have been overestimated in a previous study. The charge sharing increases the number of photons recorded at a PCD pixel at the expense of the spatial resolution, and therefore, when spatially uniform flat-field x-ray signals are used, it gives PCDs with charge sharing more signals than a PCD without charge sharing. In this paper, we propose to use spatially modulated boxcar signals for evaluating the performances for high spatial frequency tasks because they provide consistent signals regardless of the presence of absence of charge sharing. The flat-field signals must be used for low spatial frequency tasks. We assessed the performances of MEICC and other PCDs with both flat-field signals and boxcar signals, with optimal threshold energies, and with two different pixel sizes. As it is expected, normalized Cramér-Rao lower bounds (nCRLBs) measured with the boxcar signals were worse than those with flat-field signals in general. The nCRLBs of MEICC with 225-μm pixel were close to the current 450-μm PCD. We studied a combination of flat-field signals and N×N super-pixels, where the output of N×N pixels were added, using an MC simulation and a simple charge sharing counting model. The study showed that charge sharing had two opposing impacts on the conventional CT imaging-a negative impact with double-counting among N×N pixels and a positive impact with single-counting spill-in and spill-out across the super-pixel boundary-and the positive impact diminished with increasing N. A use of large N×N super-pixels such as N≥25 was suggested to approximate the zero-frequency detection quantum efficiency of PCD with charge sharing.

Entities:  

Keywords:  Computed tomography; charge sharing; photon counting detectors

Year:  2020        PMID: 34250325      PMCID: PMC8270007          DOI: 10.1109/trpms.2020.3003251

Source DB:  PubMed          Journal:  IEEE Trans Radiat Plasma Med Sci        ISSN: 2469-7303


  25 in total

1.  K-edge imaging in x-ray computed tomography using multi-bin photon counting detectors.

Authors:  E Roessl; R Proksa
Journal:  Phys Med Biol       Date:  2007-07-17       Impact factor: 3.609

2.  Multienergy photon-counting K-edge imaging: potential for improved luminal depiction in vascular imaging.

Authors:  Sebastian Feuerlein; Ewald Roessl; Roland Proksa; Gerhard Martens; Oliver Klass; Martin Jeltsch; Volker Rasche; Hans-Juergen Brambs; Martin H K Hoffmann; Jens-Peter Schlomka
Journal:  Radiology       Date:  2008-10-10       Impact factor: 11.105

3.  Coincidence Counters for Charge Sharing Compensation in Spectroscopic Photon Counting Detectors.

Authors:  Scott S Hsieh
Journal:  IEEE Trans Med Imaging       Date:  2019-08-08       Impact factor: 10.048

4.  Estimation of Basis Line-Integrals in a Spectral Distortion-Modeled Photon Counting Detector Using Low-Order Polynomial Approximation of X-ray Transmittance.

Authors:  Steffen Kappler; Christoph Polster; Katsuyuki Taguchi
Journal:  IEEE Trans Med Imaging       Date:  2016-10-26       Impact factor: 10.048

5.  Spatio-energetic cross-talk in photon counting detectors: Numerical detector model (PcTK) and workflow for CT image quality assessment.

Authors:  Katsuyuki Taguchi; Karl Stierstorfer; Christoph Polster; Okkyun Lee; Steffen Kappler
Journal:  Med Phys       Date:  2018-04-15       Impact factor: 4.071

6.  Dose Efficiency of Quarter-Millimeter Photon-Counting Computed Tomography: First-in-Human Results.

Authors:  Amir Pourmorteza; Rolf Symons; André Henning; Stefan Ulzheimer; David A Bluemke
Journal:  Invest Radiol       Date:  2018-06       Impact factor: 6.016

7.  Detective efficiency of photon counting detectors with spectral degradation and crosstalk.

Authors:  Paurakh L Rajbhandary; Mats Persson; Norbert J Pelc
Journal:  Med Phys       Date:  2019-11-22       Impact factor: 4.071

8.  Human Imaging With Photon Counting-Based Computed Tomography at Clinical Dose Levels: Contrast-to-Noise Ratio and Cadaver Studies.

Authors:  Ralf Gutjahr; Ahmed F Halaweish; Zhicong Yu; Shuai Leng; Lifeng Yu; Zhoubo Li; Steven M Jorgensen; Erik L Ritman; Steffen Kappler; Cynthia H McCollough
Journal:  Invest Radiol       Date:  2016-07       Impact factor: 6.016

9.  Abdominal Imaging with Contrast-enhanced Photon-counting CT: First Human Experience.

Authors:  Amir Pourmorteza; Rolf Symons; Veit Sandfort; Marissa Mallek; Matthew K Fuld; Gregory Henderson; Elizabeth C Jones; Ashkan A Malayeri; Les R Folio; David A Bluemke
Journal:  Radiology       Date:  2016-02-03       Impact factor: 11.105

10.  Multi-energy inter-pixel coincidence counters for charge sharing correction and compensation in photon counting detectors.

Authors:  Katsuyuki Taguchi
Journal:  Med Phys       Date:  2020-03-24       Impact factor: 4.071

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  1 in total

1.  Spectral Photon Counting CT: Imaging Algorithms and Performance Assessment.

Authors:  Adam S Wang; Norbert J Pelc
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2020-07-07
  1 in total

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