Literature DB >> 21507770

Sensitivity of photon-counting based K-edge imaging in X-ray computed tomography.

Ewald Roessl1, Bernhard Brendel, Klaus-Jürgen Engel, Jens-Peter Schlomka, Axel Thran, Roland Proksa.   

Abstract

The feasibility of K-edge imaging using energy-resolved, photon-counting transmission measurements in X-ray computed tomography (CT) has been demonstrated by simulations and experiments. The method is based on probing the discontinuities of the attenuation coefficient of heavy elements above and below the K-edge energy by using energy-sensitive, photon counting X-ray detectors. In this paper, we investigate the dependence of the sensitivity of K-edge imaging on the atomic number Z of the contrast material, on the object diameter D , on the spectral response of the X-ray detector and on the X-ray tube voltage. We assume a photon-counting detector equipped with six adjustable energy thresholds. Physical effects leading to a degradation of the energy resolution of the detector are taken into account using the concept of a spectral response function R(E,U) for which we assume four different models. As a validation of our analytical considerations and in order to investigate the influence of elliptically shaped phantoms, we provide CT simulations of an anthropomorphic Forbild-Abdomen phantom containing a gold-contrast agent. The dependence on the values of the energy thresholds is taken into account by optimizing the achievable signal-to-noise ratios (SNR) with respect to the threshold values. We find that for a given X-ray spectrum and object size the SNR in the heavy element's basis material image peaks for a certain atomic number Z. The dependence of the SNR in the high- Z basis-material image on the object diameter is the natural, exponential decrease with particularly deteriorating effects in the case where the attenuation from the object itself causes a total signal loss below the K-edge. The influence of the energy-response of the detector is very important. We observed that the optimal SNR values obtained with an ideal detector and with a CdTe pixel detector whose response, showing significant tailing, has been determined at a synchrotron differ by factors of about two to three. The potentially very important impact of scattered X-ray radiation and pulse pile-up occurring at high photon rates on the sensitivity of the technique is qualitatively discussed.

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Year:  2011        PMID: 21507770     DOI: 10.1109/TMI.2011.2142188

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  32 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.  Overcoming detector limitations of x-ray photon counting for preclinical microcomputed tomography.

Authors:  Matthew Holbrook; Darin P Clark; Cristian T Badea
Journal:  J Med Imaging (Bellingham)       Date:  2018-08-24

3.  A framework for performance characterization of energy-resolving photon-counting detectors.

Authors:  Mats Persson; Paurakh L Rajbhandary; Norbert J Pelc
Journal:  Med Phys       Date:  2018-10-12       Impact factor: 4.071

4.  An early investigation of ytterbium nanocolloids for selective and quantitative "multicolor" spectral CT imaging.

Authors:  Dipanjan Pan; Carsten O Schirra; Angana Senpan; Anne H Schmieder; Allen J Stacy; Ewald Roessl; Axel Thran; Samuel A Wickline; Roland Proska; Gregory M Lanza
Journal:  ACS Nano       Date:  2012-03-08       Impact factor: 15.881

5.  An algorithm for constrained one-step inversion of spectral CT data.

Authors:  Rina Foygel Barber; Emil Y Sidky; Taly Gilat Schmidt; Xiaochuan Pan
Journal:  Phys Med Biol       Date:  2016-04-15       Impact factor: 3.609

6.  Evaluation of spectral photon counting computed tomography K-edge imaging for determination of gold nanoparticle biodistribution in vivo.

Authors:  Salim Si-Mohamed; David P Cormode; Daniel Bar-Ness; Monica Sigovan; Pratap C Naha; Jean-Baptiste Langlois; Lara Chalabreysse; Philippe Coulon; Ira Blevis; Ewald Roessl; Klaus Erhard; Loic Boussel; Philippe Douek
Journal:  Nanoscale       Date:  2017-11-30       Impact factor: 7.790

7.  Sparsity-regularized image reconstruction of decomposed K-edge data in spectral CT.

Authors:  Qiaofeng Xu; Alex Sawatzky; Mark A Anastasio; Carsten O Schirra
Journal:  Phys Med Biol       Date:  2014-04-28       Impact factor: 3.609

8.  A neural network-based method for spectral distortion correction in photon counting x-ray CT.

Authors:  Mengheng Touch; Darin P Clark; William Barber; Cristian T Badea
Journal:  Phys Med Biol       Date:  2016-07-29       Impact factor: 3.609

9.  Photon counting spectral CT component analysis of coronary artery atherosclerotic plaque samples.

Authors:  L Boussel; P Coulon; A Thran; E Roessl; G Martens; M Sigovan; P Douek
Journal:  Br J Radiol       Date:  2014-05-29       Impact factor: 3.039

Review 10.  Multicolor computed tomographic molecular imaging with noncrystalline high-metal-density nanobeacons.

Authors:  Dipanjan Pan; Carsten O Schirra; Samuel A Wickline; Gregory M Lanza
Journal:  Contrast Media Mol Imaging       Date:  2014 Jan-Feb       Impact factor: 3.161

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