1678 IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 30, NO. 9, SEPTEMBER 2011
Sensitivity of Photon-Counting Based -Edge
Imaging in X-ray Computed Tomography
Ewald Roessl*, Bernhard Brendel, Klaus-Jürgen Engel, Jens-Peter Schlomka, Axel Thran, and Roland Proksa
Abstract—The feasibility of -edge imaging using energy-re-
solved, photon-counting transmission measurements in X-ray
computed tomography (CT) has been demonstrated by simu-
lations and experiments. The method is based on probing the
discontinuities of the attenuation coefficient of heavy elements
above and below the -edge energy by using energy-sensitive,
photon counting X-ray detectors. In this paper, we investigate the
dependence of the sensitivity of -edge imaging on the atomic
number of the contrast material, on the object diameter ,
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
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 . The dependence of the SNR in the high-
basis-material image on the object diameter is the natural, ex-
ponential decrease with particularly deteriorating effects in the
case where the attenuation from the object itself causes a total
signal loss below the -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.
Index Terms—Computed tomography (CT), photon-counting,
spectral -edge imaging.
I. INTRODUCTION
D
IRECT-CONVERSION semiconductor detectors op-
erated in photon-counting mode allow the selective
imaging and quantification of contrast materials containing a
Manuscript received December 27, 2010; revised March 28, 2011; accepted
March 30, 2011. Date of publication April 15, 2011; date of current version
August 31, 2011. Asterisk indicates corresponding author.
*E. Roessl is with Philips Research Europe–Hamburg, D-22335 Hamburg,
Germany (e-mail: ewald.roessl@philips.com).
B. Brendel, J.-P. Schlomka, A. Thran, and R. Proksa are with Philips Research
Europe–Hamburg, D-22335 Hamburg, Germany.
K.-J. Engel is with Philips Research Europe–Aachen, D-52066 Aachen,
Germany.
Color versions of one or more of the figures in this paper are available online
at http://ieeexplore.ieee.org.
Digital Object Identifier 10.1109/TMI.2011.2142188
heavy element from energy-sensitive transmission measure-
ments. From a basis material decomposition in the projection
domain followed by a conventional filtered-back-projection
reconstruction, images of the distribution of the contrast mate-
rial separate from the anatomical background can be obtained.
The feasibility of this imaging technique, called “ -edge
imaging” in the following, has been demonstrated recently
both by simulations [1] and experiments [2]. In this context it
is important to investigate the method’s sensitivity in the field
of X-ray computed-tomography (CT), both for applications
in micro-CT and human CT. It is clear that the sensitivity of
the method will strongly depend on the object size and the
tube voltage setting. While the object size will determine the
degree of beam-hardening in the transmitted beam, the tube
voltage will determine the highest possible atomic number for
which the method can be used at all. Therefore, for a given
combination of object size and tube-spectrum, there will be a
range of optimal atomic numbers, i.e., elements, for which the
method is most sensitive.
In this paper we provide estimates for the achievable
signal-to-noise ratio (SNR) in the -edge basis-material im-
ages in a CT environment as a function of the object size,
high-voltage setting and the atomic number of the con-
trast-generating element. Moreover, we study the influence of
the energy resolution, or more generally the energy response,
of the detection system on the -edge imaging sensitivity. We
will consider only circular objects in our analytical estimation
of the achievable SNR values. As a verification that our results
are, with some modifications, equally applicable to medical
CT, i.e., for elliptically-shaped objects, we also simulated an
anthropomorphic phantom with a gold contrast insert. For
this case we also verify the sensitivity as a function of tube
voltage as well as the fact that by combining the entire spectral
acquisition data it is always possible to recover a conventional
CT image of diagnostic quality.
The performance of photon-counting systems in the context
of third-generation CT imaging is strongly influenced by two
physical effects that were not taken into account in our consid-
eration: the degrading impact of pulse pile-up and of scattered
radiation on the measured X-ray spectra. Both effects are im-
portant in a clinical environment, as usually very high X-ray
flux rates and large coverage detectors are used in order to keep
the total scanning time low. We thus emphasize that the pre-
sented results could potentially be too optimistic when consid-
ering third-generation CT.
The structure of this paper is the following: in Section II
we briefly summarize the method of -edge imaging in com-
puted tomography using energy-resolved photon-counting data.
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