
ORIGINAL ARTICLE 



Year : 2007  Volume
: 32
 Issue : 4  Page : 175184 

Computer simulations and models for the performance characteristics of spectrally equivalent Xray beams in medical diagnostic radiology
Akintunde A Okunade
Department of Physics, Obafemi Awolowo University 220005, IleIfe Osun, Nigeria
Correspondence Address: Akintunde A Okunade Department of Physics, Obafemi Awolowo University 220005, IleIfe Osun Nigeria
Source of Support: None, Conflict of Interest: None  Check 
DOI: 10.4103/09716203.37483
Abstract   
In order to achieve uniformity in radiological imaging, it is recommended that the concept of equivalence in shape (quality) and size (quantity) of clinical Xray beams should be used for carrying out the comparative evaluation of image and patient dose. When used under the same irradiation geometry, Xray beams that are strictly or relatively equivalent in terms of shape and size will produce identical or relatively identical image quality and patient dose. Simple mathematical models and software program EQSPECT.FOR were developed for the comparative evaluation of the performance characteristics in terms of contrast (C), contrasttonoise ratio (CNR) and figureofmerit (FOM = CNR^{ 2} /DOSE) for spectrally equivalent beams transmitted through filter materials referred to as conventional and kedged. At the same value of operating potential (kVp), results show that spectrally equivalent beam transmitted through conventional filter with higher atomic number ( Z value) in comparison with that transmitted through conventional filter with lower Z value resulted in the same value of C and FOM. However, in comparison with the spectrally equivalent beam transmitted through filter of lower Z value, the beam through filter of higher Z value produced higher value of CNR and DOSE at equal tube loading (mAs) and kVp. Under the condition of equivalence of spectrum, at scaled (or reduced) tube loading and same kVp, filter materials of higher Z values can produce the same values of C, CNR, DOSE and FOM as filter materials of lower Z value. Unlike the case of comparison of spectrally equivalent beam transmitted through one conventional filter and that through another conventional filter, it is not possible to derive simple mathematical formulations for the relative performance of spectrally equivalent beam transmitted through a given conventional filter material and that through kedge filter material.
Keywords: Contrast, elemental filters, medical diagnostic radiology
How to cite this article: Okunade AA. Computer simulations and models for the performance characteristics of spectrally equivalent Xray beams in medical diagnostic radiology. J Med Phys 2007;32:17584 
How to cite this URL: Okunade AA. Computer simulations and models for the performance characteristics of spectrally equivalent Xray beams in medical diagnostic radiology. J Med Phys [serial online] 2007 [cited 2020 Dec 2];32:17584. Available from: https://www.jmp.org.in/text.asp?2007/32/4/175/37483 
The use of tube voltage (peak kilovoltage, kVp), effective energy, homogeneity coefficient and halfvalue layer (HVL) as measures of beam quality and quantity in medical diagnostic radiology continues to produce diversities in results obtained for image quality and patient dose. As a result of this, the use of equivalent spectral as a measure of beam quality and as a tool for the standardization of medical Xray imaging has been reported.^{ [1],[2]} Among other factors, the quality and quantity of Xray beams for medical diagnostic purpose depend on filter material and filter thickness. The standardization of beam quality can be achieved by providing a ranking for filter materials and filter thicknesses when the technology of Xray tube is the same. By careful choice of thickness, two different elemental filters can be made to transmit beams that are simultaneously of the same/close shape (quantity) and size (quality).^{ [3],[4],[5],[6]} When used under the same irradiation condition, beams that are strictly equivalent or relatively equivalent in terms of shape and size will produce identical or relatively identical image quality and patient dose. The results of theoretical and experimental approaches to the comparative ranking of the transmissions of filter materials on the basis of closeness of hardening (size) and attenuation (quantity) properties have been reported earlier in literature.^{ [7],[8],[9]} Due to the differences in attenuation and absorption properties, two different elemental filters that can independently produce beams of exactly equal shape and size do not exist.
In this paper, computer simulations were carried out to obtain spectrally equivalent Xray beams using elemental filters  which include those referred to as conventional, such as aluminum and copper; and kedge, such as gadolinium and tungsten. Analytical models similar to those earlier reported^{ [6]} for quantitative parameters were derived for the evaluation of differences in parameters for image quality, such as contrasttonoise ratio (CNR) and figureofmerit (FOM) for filter materials that transmit spectrally equivalent beams. For the purpose of clinical assessment of the performance characteristics of spectrally equivalent beams, iterative computer software EQSPECT.FOR was developed for the evaluation of these models. Also, by least square methods, parameters which can be used for the evaluation of thicknesses of other filter materials that are 'spectrally' equivalent to a specified thickness of copper are presented. The definitions of some of the terms used in the computer simulations and analytical formulations that were derived are presented in [Table  1].
Theoretical formulations
In this work, T (t_{ m} ) of filter material m at 'spectrally' equivalent thickness of t_{ m} is given by
C is defined as
E_{ a} and E_{ b} were calculated respectively using equations of the forms^{ [10]}
CNR and FOM were respectively calculated as
and
The absorbed dose in patient (water phantom of thickness t_{ w} centimeters) was determined using equation of the form^{ [11]}
where ε(t_{ w} ) could be obtained using an equation of the form
Details of the derivation of Eq. (7) can be found in the work reported by Okunade.^{ [11]}
From the earlier work reported,^{ [6]} for a given filter material m in comparison with aluminum filter at spectrally equivalent thickness,
and
The values of λ_{m} resulting in best fit to Eq. (9) are reported in [Table  1] of Okunade^{ [6]} for filter materials m with atomic numbers ranging from 12 to 39 and kVp ranging between 50 and 140 when reference filter is assumed to be aluminum.
From the simulated data and curvefitting exercises carried out in this work,
Calculations carried out using copper as reference filter in comparison with filter material m resulted in equation of the form
where Δ= λ_{m} t_{ cu}
The values of λ_{m} resulting in best fit to Eq. (11) are reported in [Table  2] of this text. Thus from Eqs. (5), (9) and (10), for spectrally equivalent beams emanating from filter material m and aluminum filter at 'spectrally' equivalent thicknesses respectively, FOM is of the form
and the CNR for beam transmitted through filter material m in comparison with that through a reference filter (aluminum) is of the form
In order to obtain spectral that is exactly equal in shape and size (or that will produce exactly the same values of transmittance, T, contrast, C, dose, DOSE, contrasttonoise ratio, CNR, and figureofmerit, FOM), the spectral data generated from filter material, say copper, in comparison with those from aluminum at 'spectrally' equivalent thickness have to be scaled across the entire energy spectrum by using the factor α. Mathematically, for this, we can write,
Note that the values of number of photons (per energy bin E_{ i} ) transmitted by a filter with higher Z value are greater than those transmitted by filter of lower Z values when the tube is operated at the same kVp and tube loading. The use of this scaled spectral results in models of the form
The thickness of a given material, t_{ eq} , that is 'spectrally' equivalent to a given aluminum thickness t_{ Al} is of the form^{ [6]}
The values of ω_{n} resulting in best fits to Eq. (16) when Z value ranges between 12 and 39 are obtainable from [Table  5] of Okunade.^{ [6]} When Z values are 12, 13 and 14, the value of the thickness (t_{ eq} ) of other filter material that is 'spectrally' equivalent to copper thickness t_{ cu} can be obtained from equation of the form
When Z values are 23, 26, 28, 30, 32 and 39, the value of the thickness (t_{ eq} ) of other filter material that is 'spectrally' equivalent to copper thickness t_{ cu} can be obtained from equation of the form
The values of ω_{n} and α_{n} resulting in best fits to Eqs. (17) and (18) are shown in [Table  3] of this text.
Methods   
Simulations of beams of the same/close shape and size, contrast, contrasttonoise ratio, dose and figureofmerit
In order to simulate Xray beams of the same/close shape and size ( spectrally equivalent beams), calculations were carried out for the matching of hardening and attenuation from aluminum and copper filters (reference filters) and other filter materials that are different from aluminum and copper. The matching exercises involved the use of the numerical algorithms earlier reported by Jennings.^{ [8]} The thicknesses of aluminum filter used were between 1 and 6 mm at 1 mm increments while those of copper were between 0.05 and 0.3 mm at 0.05 mm increments. The incident Xray spectrals on the filter materials were determined by using polynomial functions earlier reported by Boone and Seibert.^{ [12]} Unfiltered tungsten anode spectra φ_{0} (E_{ i} ) in units of photons/mm^{ 2} at energy E_{ i} in keV were calculated for values of kVp ranging between 50 and 140 in 10 kVp steps.
The transmission, contrast, contrasttonoise ratio, figureofmerit and dose were calculated using equations presented in the theory section above. A total of 10 values of kVp, 8 alternative conventional filter materials (other than aluminum/copper) and 6 reference filter thicknesses of aluminum/copper were considered. Simulations were carried out for the evaluation of T, C, CNR, FOM and DOSE for water phantom of thicknesses ranging between 5 and 30 cm at 5 cm increments. Also considered in these simulations are three contrast media  namely, calcium, barium and iodine; and three intensifying screens, which include CaWO_{ 4} , CsI and Gd_{ 2} O_{ 2} S. By similar simulation exercise, the kedge filter materials investigated in comparison with aluminum/copper filters include lanthanium, gadolinium, holmium, thulium and tungsten. The interaction data of photons for water (patient phantom) and those for elemental filters that were considered were taken from McMaster et al .,^{ [13]} while those for the contrast media and intensifying screens were from Hubbell and Seltzer.^{ [14]} All the models reported in this work were fitted using the curvefit leastsquare routines implemented in the computer package GRAF4WIN.^{ [15]} [Figure  1] shows the schematic diagram for the implementation of the computer simulations.
Computer code EQSPECT.FOR
A FORTRAN source codes EQSPECT.FOR was developed for the execution of the simulations of same/close shape and size of beams, C, CNR, FOM and DOSE. In these computer codes, the algorithms reported^{ [12]} for the simulations of energy distribution of Xray beams permit the specification of values of kVp other than those of multiples of 10 kV (say 86 kV). The interpolations for values of l_{m} at values of kVp other than multiples of 10 kVp were carried out using cubic spline computer routines (named DEFSAL and DEFSCU) that were embedded in EQSPECT.FOR. A brief description of the main steps in the execution of EQSPECT.FOR is presented in [Table  4].
Results   
[Figure  2] shows the results of comparison of T, CNR, [CNR]^{ 2} , C, DOSE and FOM for beams transmitted through aluminum/copper and selected alternative filter materials at 'spectrally' equivalent thicknesses. Specifically, for peak voltage of 86 kV, [Figure  3] shows the results of comparison of the spectra transmitted through 3.7 mm Al and 9.3 mm Al and those through the respective spectrally equivalent thicknesses of copper, 0.1 mm Cu and 0.25 mm Cu, at equal tube loading. [Table  5] shows the results of comparison of performance characteristics of other filter materials relative to copper filter. For the purpose of comparison with the work of Nagel,^{ [9]} these results are for 0.2 mm Cu filter, imaging of patient phantom of thickness 20 cm and contrast simulated with iodine (10 mg/cm^{ 2} ) and Gd_{ 2} O_{ 2} S intensifying screen (80 mg/cm^{ 2} ). [Figure  4] shows the comparison of spectral shape and size obtained by forcing the same shape and size for aluminum/copper and gadolinium filters using the algorithms reported by Jennings.^{ [8]} The results of the comparison of transmission, contrast, CNR, [CNR^{ 2} ] DOSE and FOM obtained by the matching of spectral shape and size of beams transmitted by aluminum/copper and lanthanium are shown in [Figure  5]. To further provide verification of the validity of the formulations (Eqs. 815) presented in this work, the results of comparison carried out for 0.088 mm Gd filter and 0.097 mm Cu filter using EQSPECT.FOR are presented in [Table  6].
Discussion   
The value of CNR for the beam filtered by 0.1 mm Cu exceeds that of the beam filtered by 3.7 mm Al by 7.0% for the imaging of a 20cm patient phantom with the contrast simulated with iodine (12 mg/cm^{ 2} ) and CsI intensifying screen (60 mg/cm^{ 2} ). For this same imaging, the value of CNR for beam filtered by 0.25 mm Cu exceeds that for beam filtered by 9.3 mm Al by 19.0%. For the case of 3.7 mm Al and 0.10 mm Cu filtrations, the values of T_{ Cu} , DOSE_{ Cu} and [CNR_{ Cu} ]^{ 2} exceed those of T_{ Al} , DOSE_{ Al} and [CNR_{ Al} ]^{ 2} by 14.5% respectively while C_{ Cu} ~ C_{ Al} and FOM_{ Cu} ~ FOM_{ Al} . This is in good agreement with the result from earlier work,^{ [8]} which reported a surplus of 14.8% for T_{ Cu} over T_{ Al} . At spectrally equivalent thicknesses, the difference in exposure time obtained experimentally for these aluminum and copper filters to produce beam of exactly the same shape and size was 15.6%, with the former filter requiring more exposure time.^{ [8]} This is in reasonable agreement with the theoretical formulations [Eqs. (8) and (9) of this text], which yield 14.5% as the value of D Δ 100% (where Δ = λ_{m} t_{ ref} ). With the beams from these filters (copper and aluminum at 'spectrally' equivalent thicknesses) numerically made exactly equal in shape and size {φ_{Al} (E_{ i} ) = αφ_{Cu} (E_{ i} )}, the results obtained by simulations were such that T_{ Cu} ~ T_{ Al} , DOSE_{ Cu} ~ DOSE_{ Al} , CNR_{ Cu} ~ CNR_{ Al} , [CNR_{ Cu} ]^{ 2} ~ [CNR_{ Al} ]^{ 2} , C_{ Cu} ~ C_{ Al} and FOM_{ Cu} ~ FOM_{ Al}.
In the case of beam filtered by 9.3 mm Al in comparison with that filtered by 0.25 mm Cu and for spectral without scaling (same mAs and heat capacity), the values of T_{ Cu} , DOSE_{ Cu} and [CNR_{ Cu} ]^{ 2} exceed those of T_{ Al} , DOSE_{ Al} and [CNR_{ Al} ]^{ 2} by 41.9% respectively while C_{ Cu} ~ C_{ Al} and FOM_{ Cu} ~ FOM_{ Al} . Theoretical result presented^{ [8]} shows this surplus value to be 41.6%. With the transmitted spectrum through the copper filter theoretically scaled {φ_{Al} (E_{ i} ) = αφ_{Cu} (E_{ i} )} in comparison with aluminum filter, the results obtained by simulations were such that T_{ Cu} ~ T_{ Al} , DOSE_{ Cu} ~ DOSE_{ Al} , [CNR_{ Cu} ]^{ 2} ~ [CNR_{ Al} ]^{ 2} , CNR_{ Cu} ~ CNR_{ Al} , C_{ Cu} ~ C_{ Al} and FOM_{ Cu} ~ FOM_{ Al} .
Results of spectrometric measurements carried out by Jennings^{ [8]} show that 4.08 mmAl, 0.11 mmCu and 0.10 mmY transmit spectrally equivalent beams. For 4.08 mm Al in comparison with 0.11 mm Cu and without the scaling of spectral (same mAs and heat capacity), using Eqs. (811), the values of T_{ Cu} , DOSE_{ Cu} and [CNR_{ Cu} ]^{ 2} exceed those of T_{ Al} , DOSE_{ Al} and [CNR_{ Al} ]^{ 2} by 16.2% respectively while C_{ Cu} ~ C_{ Al} and FOM_{ Cu} ~ FOM_{ Al} . The same surplus was found for yttrium in comparison with aluminum at the respective 'spectrally' equivalent thicknesses of 0.10 mm Y and 4.08 mm Al while C_{ Y} ~ C_{ Al} and FOM_{ Y} ~ FOM_{ Al} . This is in good agreement with the results from the work of Jennings,^{ [8]} which reported a difference of 15.3% (experimental) and 16.7% (theoretical) for T_{ Cu} and T_{ Al} with copper transmitting surplus. Also, reported by the same author^{ [8]} was a difference of 15.4% (experimental) and 16.4% (theoretical) for T_{ Y} and T_{ Al} with yttrium filter transmitting surplus. With the transmitted spectrum through the copper filter scaled (mAs and heat capacity scaled by the factor a), the results obtained from the simulations carried out in this work were such that T_{ Al} ~ T_{ Cu} ~ T_{ Y} , DOSE_{ Al} ~ DOSE_{ Cu} ~ DOSE_{ Y} , [CNR_{ Al} ]^{ 2} ~ [CNR_{ Cu} ]^{ 2} ~ [CNR_{ Y} ]^{ 2} , C_{ Al} ~ C_{ Cu} ~ C_{ Y} and FOM_{ Al} ~ FOM_{ Cu} ~ FOM_{ Y} .
Using scaled spectrum {α φ_{Cu} (E_{ i} )}, operating the tube with copper filter at reduced tube loading/heat capacity (α x mAs_{ Al} or 1.35α x mAs_{ Al} x kVp) results in same value of T, DOSE, C, CNR and FOM when compared with operating the tube with aluminum filter at higher tube loading/heat capacity (mAs_{ Al} or 1.35 × mAs_{ Al} × kVp). Note that whether the beams are scaled or not scaled, once the spectral shape is the same, the values of contrast and FOM will be the same. However, beams filtered by materials with higher values of atomic numbers are more intense (bigger in shape) and produce higher values of CNR and dose to patient than those filtered by material of lower atomic numbers at 'spectrally' equivalent thicknesses when the tube is operated at the same values of kVp, tube loading and heat capacity [Figure  2],[Figure  3]. For a given filter material when compared with aluminum/copper at 'spectrally' equivalent thicknesses, only the shapes of transmitted spectra are the same. Depending on the Z value, the sizes are not the same when the tube is operated at same values of kVp, tube loading and heat capacity [Figure  3]. At respective 'spectrally' equivalent thicknesses, the benefits derivable from the use of higher Z value filter material in comparison with those from the use of lower Z value include higher intensity, lower filtergenerated scattered radiation and shorter tube current or exposure time. This can translate into an increase in the lifespan of tube (more filament hours by operating at reduced mAs) and reduction in the cost of dealing with the detrimental effects of heat and scattered radiation. Also, extra images could be obtained using the gain in exposure time and tube loading/heat capacity.
The spectrum obtained by numerically scaling the values of αφ_{Cu} (E_{ i} ) using the factor α (Eq. 14) is in agreement with that transmitted by 3.7 mm Al [Figure  3]. The scaled spectrum obtained from copper filter {αφ_{Cu} (E_{ i} )} and that directly obtained from aluminum {φ_{Al} (E_{ i} )} were found to produce the same contrast, CNR, DOSE and FOM. Though not carried out in this work, experimentally at the same kVp, the spectra obtained from filter material with higher Z value (say copper) in comparison with those with lower Z value (say aluminum) could be obtained at the scaled intensity and dose (scaled to that obtainable from aluminum filter) by operating the tube at scaled tube loading and heat capacity. This scaling factor provides for the means of obtaining strictly equivalent (same shape and size) spectra from two different elemental filter materials (conventional filters) at the same value of kVp [Figure  3].
The validity of Eq. (15) had been reported in Okunade^{ [6]} using the case of peak voltage of 86 kV and comparison of 0.10 mm Cu with the corresponding 'spectrally' equivalent aluminum thickness, 3.7 mm Al (reference filter). Also, [Figure  3] shows that the formulation presented as T_{ Al} = α x T_{ Cu} is valid. Hence all the formulations in Eq. (15) are valid. [Table  5] shows that the values of 'spectrally' equivalent thicknesses obtained using Eqs.(1618) are in good agreement with those earlier reported in literature.^{ [8],[9]} Apart from providing comparison for aluminum/copper and any given filter material irrespective of atomic number, EQSPECT.FOR can be used to obtain relative performance for any arbitrary pair of filter materials, say silicon and iron. This is accomplishable by specifying the reference filter material as silicon and the alternative filter material as iron.
Generally, it is well known that it is not possible to have a complete spectral matching for conventional and kedge filter materials. The kedge discontinuity interferes substantially in the range of useful energies, resulting in beams with significant difference in shape and size. Unlike the case of the comparison of conventional filter materials (aluminum/copper) with other conventional filter materials, large values of the rootmeansquare errors^{ [8]} were obtained when conventional filter materials were compared with kedge filter materials. This implies a large difference between the actual transmission of aluminum/copper and the scaled transmission of the kedge filters. It is not possible to derive simple mathematical formulations of the form with factors α, δ and Δ for the comparison of performance of beams from conventional filter materials with those from kedge filter materials since spectrals transmitted by these pair of filter materials differ in quality and quantity [Figure  4]. Theoretically, the transmission below the kedge in terms of quality and quantity could not be matched in these comparisons. However, using Eq. (9), the results presented in [Table  6] for the comparison of the overall quantity of photons in terms of the ratios of T and DOSE from beams transmitted by 0.097 mm Cu and 0.088 mm Gd are in reasonable agreement with experimentally measured ratio of exposure time reported by Nagel.^{ [9]}
Conclusions   
Models and software program have been presented for the comparative evaluation of the performance characteristics (contrast, contrasttonoise ratio and FOM) of beams transmitted at spectral equivalent thicknesses by elemental filter materials (conventional and kedge filters). Under this condition of spectral equivalence, the mathematical formulations presented show that when compared with one of lower Z value, conventional filter material with higher Z value offers opportunity for extended exposure time. This extended exposure time can translate into acquiring extra images using the gain in exposure time, tube loading and heat capacity. The computer software EQSPECT.FOR developed in this work can be used as a tool for the comparative investigation of filter materials with a view to determine alternative beams that could yield optimum performance in clinical radiological practice. The results from this comparative investigation can aid in the design of Xray machines in such a way as to produce a reference shape and size of Xray beam with which others can be compared. This could assist in the achievement of some degree of uniformity in clinical Xray diagnostic practice.
References   
1.  Boone JM. Equivalent spectra as an index of beam quality. Med Phys 1986;13:8618. 
2.  Boone JM. Three parameter equivalent spectra as an index of beam quality. Med Phys 1988;15:30410. 
3.  Thoraeus R. The study of the ionization method for measuring the intensity and absorption of Roentgen rays and efficiency of different filters used in therapy. Acta Radiol 1932;15:186. 
4.  Thoraeus R. Tin filters in roentgen therapy. Acta Radiol 1934;15:22536. 
5.  Okunade AA. Numerical models for comparing filter materials for diagnostic radiology. Radiat Phys Isot 2002;65:19. 
6.  Okunade AA. Parameterized algorithm for quantitative differentials in spectrally equivalent medical diagnostic xray beams. Med Phys 2005;32:178595. 
7.  Nagel HD. Aluminum equivalence of materials used in diagnostic radiology and its dependence on beam quality. Phys Med Biol 1986;31:138199. 
8.  Jennings RJ. A method for comparing beamhardening filter materials for diagnostic radiology. Med Phys 1988;15:58899. 
9.  Nagel HD. Comparison of the performance of characteristics of conventional and kedge filters in general diagnostic radiology. Phys Med Biol 1989;31:126987. 
10.  Birch R, Marshall M, Ardran GM. Catalogue of spectral data for diagnostic xrays. The Hospital Physicist's Association Scientific Report Series  30, 1979. 
11.  Okunade AA. Effective dose as a limiting quantity for the evaluation of primary barriers for diagnostic xray facilities. Health Phys 2005;89:S10016. 
12.  Boone JM, Seibert JA. An accurate method for computergenerated tungsten anode xray spectra from 30 to 140 kV. Med Phys 1997;24:166170. 
13.  McMaster WH, Del Grande NK, Mallett JH, Hubbell JH. Compilation of Xray cross section," University of California, Lawrence Radiation Laboratory Report No UCRL50174, Sec, II, Rev 1 (NTIS), 1969. 
14.  Hubbell JH, Seltzer SM. Tables of xray mass attenuation coefficients and mass energyabsorption coefficients 1 keV to 20 MeV for elements 192 and 48 additional substances of dosimetric interest. National Institute of Standard and Technology Internal Report NISTIR 1995. p. 5632. 
15.  GRAF4WIN. A computer program for graphics and curve fitting GRAPHER(™) for Windows v1.2 Golden Software Incorporated, Golden, CO: USA; 19931994. 
[Figure  1], [Figure  2], [Figure  3], [Figure  4], [Figure  5]
[Table  1], [Table  2], [Table  3], [Table  4], [Table  5], [Table  6]
