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Pocket formula for mass attenuaion coefficient, effective atomic number and electron density of human tissues

NUCLEAR CHEMISTRY, RADIOCHEMISTRY, NUCLEAR MEDICINE

Pocket formula for mass attenuaion coefficient, effective atomic number and electron density of human tissues

H.C. Manjunatha
L. Seenappa
Nuclear Science and TechniquesVol.30, No.3Article number 36Published in print 01 Mar 2019Available online 09 Feb 2019
42401

We have proposed a pocket formulae for mass attenuation coefficient (μ/ρ), mass energy absorption coefficient (μen/ρ), and effective atomic number (Zeff) in different tissues of human organs. We have also assigned a new chemical formula for all studied tissues based on their composition. We have introduced a new parameter called effective composition index (Ceff). Based on this we have introduced a new method to compute the effective atomic number. The evaluated photon interaction parameters are graphically represented. The evaluated average, maximum, minimum and standard deviations of effective atomic number are tabulated. The proposed formulae produces a mass attenuation coefficient, mass-energy absorption coefficient, and effective atomic number from their composition.

Mass attenuation coefficientsTissues

1. Introduction

These attenuation coefficients are extensively used in shielding and dosimetric computations which are strongly dependent on the energy of photon and composition of elements of interacting medium. The knowledge of attenuation in tissues is also useful in the mammographic examination which is the most effective method for early diagnosis of breast cancer. The attenuation coefficient and effective atomic number are fundamental parameters in radiology. Literature survey shows that there were several works on theoretical and measurements of mass attenuation coefficients of dosimetric interest [1-3].

Hubble and Seltzer [4] was given attenuation coefficients data for the elements and compounds. Berger and Hubbel [2] developed software called XCOM for calculating mass attenuation coefficients. Gerward et al.,[5] developed WinXCom programme to calculate mass attenuation coefficients. Hine [6] introduced the concept of Zeff. This parameter is useful in selecting a tissue substitute. A literature survey shows that some researchers have measured or calculated effective atomic number in biological materials [7-9].

Kurudirek and Onaran [10] studied the Zeff of biomolecules for electron, proton, alpha particle, and photon interactions. Kurudirek [11] also studied Zeff and Ne of human tissues. The same workers [12] also studiedZeff of dosimetric materials for different interactions. Previous workers [13-18] measured the X-ray and gamma interaction parameters in some compounds of dosimetric interest. We also reported theoretical studies on the X-ray and gamma interaction parameters of biological samples [19-26].

Tissue equivalent materials are required for dose distribution studies in the radiotherapy and diagnoisis. The photon interaction parameters in the tissues of human organs are important for the preparation of tissue equivalent materials. The tissue equivalent materials and tissues should have a similar behaviour with photons.

In the present work, we have proposed a new semi empirical formulae for photon interaction parameters such as mass attenuation coefficient, mass energy absorption coefficient, and effective atomic number in different tissues of human organs (Kidney, Liver, Lung, Lymph, Muscle, Ovary, Pancreas, Cartilage, Red marrow, Spongiosa, Yellow marrow, Skin, Spleen, Testis, Thyroid, Skeleton-cortical bone, Skeleton-cranium Skeleton-femur, Skeleton-humerus, Skeleton-mandible, Skeleton-ribs (2nd, 6th), Skeleton-ribs (10th), Skeleton-sacrum, Skeleton-spongiosa, Skeleton-vertibral column (c4), and Skeleton-vertibral column (D6, L3)). In the second section of the paper, we have explained the proposed empirical formula. The third section of the paper describes the comparison of experimental results with present work.

2. Methodology

2.1 Semi empirical formula for effective atomic number (Zeff) in terms of composition

To establish the exact relation between effective atomic number and composition, we have introduced a new parameter called effective composition index (Ceff). In general, it is the ratio of the sum of the product of composition and atomic weight of elements in large proportion to one plus the sum of the product of composition and atomic weight of remaining elements. The major elements present in the tissues of human organs are H, C, N, and O. Thus effective composition index (Ceff) for tissues of human organ is defined as the ratio between the sum of the product of composition and atomic weight of H, C, N, and O to one plus sum of the product of composition and atomic weight of remaing elements in the tissue.

Ceff=CHAH+CCAC+CNAN+COAO1+CCaACa+CPAP+CMgAMg+CSAS+CClACl+CKAK+CFeAFe+CIAI (1)

In the above equation, CH, CC, CN, CO, CCa, CP, CNa, CMg, CS, CCI, CK, CFe, and CI are composition of the elements indicated in the corresponding subscripts. AH, AC, AN, AO, ACa, AP, ANa, AMg, AS, ACl, AK, AFe and AI are atomic weight of the elements indicated in the corresponding subscripts. In the numerator of the above equation, we have considered the composition and atomic weight of H, C, N, and O because these elements are major elemental contents of tissue.

In the denominator, remaining elemental composition is considered.

The equation of effective composition index (Ceff) for a single element is reduced to

Ceff=CiAi (2)

We have calculated the effective composition index (Ceff) for all tissues of human organs. A search was made for their best parametrization with the effective atomic number. Finally we have established relation between effective atomic number (Zeff) and effective composition index (Ceff).

Zeff= {1/(2.04541353×10-2 ln(ECeff) + 0.2074035539)        for 1-500 keV 9.301386273×10-6 (ECeff)+4.245546293                    for 0.5-20 MeV (3)

In the above Eq. (3), E represents photon energy in MeV. Effective atomic number can be calculated with the simple inputs of photon energy (E) and effective composition index (Ceff). The effective composition index can be calculated using their composition. Thus, Eq. (3) represents the simple semi empirical formula which produces the effective atomic number using their composition.

2.2 Semi empirical formula for of mass attenuation and energy absorption coefficients

Most of the tissues of human organs consisting of elements such as H, C, N, O, Ca, P, Na, Mg, S, Cl, K, Fe, and I are in their elemental composition. We have studied the variation of mass attenuation and energy absorption coefficients with atomic number at different energies for the elements which are constitutes of tissues of human organs. We have studied the variation of the mass attenuation coefficient (μ/ρ) with energy and atomic number. It is observed from this study that the mass attenuation coefficients (μ/ρ) do not vary linearly with energy and atomic number. To select the best fit for mass attenuation coefficients in the low energy region (1-100 keV), we have studied suitable functions such as α1Eα2+α3Eα4, α1+α2E+α3E2+α4E3, 1α1E2+α2E+α3, α1Eα2+α3Eα4+α5, (α1Eα2+α3), α1exp(α2Eα3)+α4, α1exp(α2(lnE+α3)2)+α4, α1((E+α2)2+1)α3+α4, α1exp(α2E+α3lnE), α1exp(α2E)+α3exp(α4E), α1E+α2exp(α3E)+α4, β1E+β2+β3E+β4lnE, δ1E+δ2exp(δ3E)+δ4, and polynomial function (α1E4+α2E3+α3E2+α4E+α5) where α’ s are functions of atomic number [α=α(Z)]. Among these functions the double exponential function such as α1Eα2+α3 is the best suitable function. This function is also valid for the low energy region (1-100 keV) and for elements H, C, N, O, Ca, P, Na, Mg, S, Cl, K, Fe, and I. Hence we have fit this exponential function such as α1Eα2+α3 to the mass attenuation coefficient data for the low energy region (1-100 keV) for elements H, C, N, O, Ca, P, Na, Mg, S, Cl, K, Fe and I.

μρ=i=03αiZiE(i=03βiZi)+i=04δiZi                for  1-100keV (4)

here αi, βi and δi are fitting parametrs which are given in Table 1.

Table 1:
Fitting parametrs for mass attenuation coefficients (μ/ρ)
i=0 i=1 i=2 i=3 i=4
αi 10757.14872 - 3540.820395 398.4373505 -4.461736803 0
βi - 3.343463789 6.12684539·10-2 - 2.825112754·10-3 4.967048249·10-5 0
δi 0.4320534583 - 8.406094275·10-2 8.3504118·10-3 - 3.691850298·10-4 5.714514667·10-6
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We have also formulated the equation for the mass attenuation coefficient (μ/ρ) and the product of energy and atomic number in the energy region 100 keV to 20 MeV for elements H, C, N, O, Ca, P, Na, Mg, S, Cl, K, Fe, and I

μρ=1.591(ZE)0.3865 for 0.1-20MeV (5)

We have also fit the following non linear function to mass attenuation coefficients (μen/ρ) in the low energy region (1-100 keV) for elements H, C, N, O, Ca, P, Na, Mg, S, Cl, K, Fe, and I;

μenρ=i=07φiZiE(i=07ψiZi)+i=07χiZi for 1-100keV (6)

here φi, ψi and χi are fitting parameters which are given in Table 2.

Table 2:
Fitting parametrs for mass attenuation coefficients (μen/ρ)
Φi Ψi Χi
i=0 - 6183.518517 - 3.356499096 3.445436562·10-1
i=1 9775.049268 + 5.501861004·10-2 7.017102505·10-2
i=2 - 4419.256446 1.769339873·10-2 - 7.455569824·10-2
i=3 928.8872984 - 6.915457646·10-3 1.881469124·10-2
i=4 - 99.72245142 + 9.55841425·10-4 - 2.214979366·10-3
i=5 + 5.829884688 - 6.382510627·10-5 1.346734218·10-4
i=6 - 0.173724236 2.059213322·10-6 - 4.080025291·10-6
i=7 2.05344172·10-3 -2.563187022·10-8 4.856052612·10-8
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The proposed formula for the mass energy absorption coefficient (μen/ρ), and the product of the energy and atomic number in the energy region 100 keV to 20 MeV for elements H, C, N, O, Ca, P, Na, Mg, S, Cl, K, Fe and I is;

μenρ=-3.1228×10-3 ln(ZE) + 5.0891×10-2 for 0.1-20MeV (7)

The mass attenuation coefficient and mass energy absorption coefficient of tissues of human organs at different energies can be expressed by substituting Z=Zeff in above Eqs. (1) and (2):

μρ=((i=03αiZeffi)E(i=03βiZeffi)+(i=04δiZeffi) for 1-100keV1.591(ZeffE)0.3865 for 0.1-20MeV (8)

and

μenρ=((i=07φiZeffi)E(i=07ψiZeffi)+(i=07χiZeffi) for 1-100keV-3.1228×10-3 ln(ZE) + 5.0891×10-2 for 0.1-20MeV (9)

Above Eqs. (3) and (4) are simple semi empirical formulae which represent the mass attenuation coefficient (μ/ρ) and mass energy absorption coefficient (μen/ρ) in terms of the effective atomic number (Zeff) of tissues. In the above Eqs. (3) and (4), E represents photon energy in keV. Both these coefficients can be calculated with the simple input of effective atomic number (Zeff) at a given energy.

3. Results and discussions

Based on the composition [32] of elements in the tissues of human organs, we have formulated an equivalent chemical formula. The proposed equivalent chemical formula for tissues of human organs is shown in Table 3. We have calculated mass attenuation coefficients (μ/ρ), mass energy abosorption coefficients (μen/ρ), and effective atomic numbers using the formulae proposed in the present work. The variation of mass energy abosorption coefficients (μen) with energy for different tissues of human organs for a wide energy range 1 keV-20 MeV is shown in Figs. 1, 2, 3. It also observed a similar variation of mass attenuation coefficients (μ/ρ) with photon energy. The calculated effective atomic numbers of the tissues of human organs for a wide energy range 1 keV-20 MeV are also shown in Figs. 4, 5, 6. We have also highlighted the average value, maximum value, minimum value, and standard deviation of the calculated effective atomic number of tissues of human organs for a wide energy range 1 keV-20 MeV. These values are also presented in Table 4.

Table 3:
The equivalent chemical formula for tissues of human organs
Tissue Chemical formula
Adipose tissue H4010C1765N18O616Na2S1Cl1
Blood H5652C511N132O2600P2Na2S3Cl5K3Fe1
Brain H1702C194N25O713P2Na2S3Cl5K3
Breast H3729C980N76O1168P1Na2Cl1
Cell Nucleus H843C60N18O372P7S1
Eye Lens H3377C576N144O1431P1Na2S3Cl1
GI tract H4112C374N61O1835P1Na2S1Cl2K1
Heart H5707C563N128O2562P2Na2S3Cl5K3Fe1
Kidney H4096C440N86O1814Ca1P3Na3S2Cl2K2
Liver H1764C205N38O793P2Na2S2Cl1K1
Lung H1998C171N43O915P2Na2S2Cl2K1
Lymph H3436C109N25O1667Na4S1Cl4
Muscle H3588C422N86O1573P2Na2S3Cl1K4
Ovary H2037C151N33O938P1Na2S1Cl1K1
Pancreas H3372C451N50O1391P2Na3S1Cl2K2
Cartilage H1126C97N19O550P8Na3S3Cl1
Red marrow H5818C1925N136O1532
Spongiosa H4710C1878N112O1281Ca103P61Na2Mg2S3Cl3K1Fe1
Yellow marrow H4045C1901N18O512Na2S1Cl1
Skin H3879C664N117O1576P1Na3S2Cl3K1
Spleen H2349C216N53O1065P2Na1Cl1K2
Testis H3257C255N44O1483P1Na3S2Cl2K2
Thyroid H13095C1257N217O5909P4Na11S4Cl7K3I1
Skeleton cortical bone H776C297N69O625Ca129P76Na1Mg2S2
Skeleton cranium H1140C406N66O625Ca101P60Na1Mg2
Skeleton femur H2462C1018N71O815Ca114P63Na2Mg1S1Cl2l1
Skeleton humerus H1447C635N54O561Ca92P55Na1Mg1S2
Skeleton mandible H1049C381N67O625Ca107P64Na1Mg2S2
Skeleton ribs (2nd,6th) H2483C856N109O1065Ca128P76Na2Mg2S4Cl1l1
Skeleton ribs (10th) H2172C765N112O1061Ca152P91Na2Mg2S4Cl1K1
Skeleton sacrum H4100C1404N148O1529Ca137P81Mg2S3Cl2K1Fe1
Skeleton spongiosa H4710C1878N112O1281Ca103P61Na2Mg2S3Cl3K1Fe1
Skeleton vertebral column (C4) H3491C1214N155O1522Ca185P110Na2Mg2S5Cl2K1Fe1
Skeleton vertebral column (D6, L3) H3879C1334N152O1525Ca155P92Mg2S3Cl2K1Fe1
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Table 4:
Statistics of computed effective atomic numbers
Tissue Zeff
Average Max. Min. SD
Adipose 3.520 5.301 3.074 0.497
Blood 4.054 6.224 3.448 0.648
Brain 3.956 6.168 3.354 0.652
Breast 3.946 6.455 3.310 0.736
Cartilage 4.227 6.511 3.578 0.692
Cell nucleus 4.037 6.339 3.401 0.687
Eye lens 4.069 6.094 3.506 0.598
Gi tract 3.972 6.121 3.379 0.635
Heart 4.032 6.217 3.427 0.651
Kidney 4.021 6.185 3.422 0.643
Liver 4.037 6.203 3.437 0.644
Lung deflated 4.041 6.215 3.435 0.649
Lymph 3.996 6.200 3.381 0.617
Muscle 4.031 6.200 3.434 0.642
Ovary 4.012 6.190 3.407 0.648
Pancreas 3.941 6.095 3.357 0.635
Red marrow 3.789 5.819 3.269 0.576
Skeleton cortical bone 7.283 10.949 5.994 1.335
Skeleton cranium 6.196 9.896 5.009 1.289
Skeleton femur 5.182 8.793 4.159 1.181
Skeleton humerus 5.618 9.295 4.512 1.244
Skeleton mandible 6.432 10.132 5.216 1.306
Skeleton ribs(2nd,6th) 5.446 9.035 4.391 1.193
Skeleton ribs(10th) 5.854 9.496 4.721 1.250
Skeleton sacrum 4.979 8.352 4.039 1.088
Skeleton spongiosa 4.540 7.751 3.705 0.995
Skeleton vertibral column 5.468 9.076 4.426 1.165
Skeleton vertibral column 8.009 10.230 7.350 0.771
Skin 4.008 6.095 3.437 0.613
Spleen 4.032 6.194 3.430 0.644
Spongiosa 4.540 7.751 3.705 0.995
Testis 4.076 6.553 3.405 0.742
Thyroid 4.002 6.096 3.411 0.590
Yellow marrow 3.476 5.227 3.045 0.483
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Figure 1.
Variation of mass energy absorption coefficient of some tissues with photon energy (Lung, Lymph, Muscle, Ovary, Pancreas, Cartilage, Redmarrow, Spongiosa)
pic
Figure 2.
Variation of mass energy absorption coefficient of some tissues (Yellow marrow, Skin, Spleen, Testis, Thyroid, Skeleton-cortical bone, Skeleton-cranium Skeleton-femur, Skeleton-humerus) with photon energy
pic
Figure 3.
Variation of mass energy absorption coefficient of some tissues (Skeleton-ribs (2nd,6th), Skeleton-ribs (10th), Skeleton-sacrum, Skeleton-spongiosa) with photon energy
pic
Figure 4.
Variation of effective atomic number of some tissues with photon energy (Adipose, Blood, Brain, Breast, Cartilage, Cell nucleus, Eyelens, GI tract, Heart)
pic
Figure 5.
Variation of effective atomic number of some tissues (Kidney, Liver, Lung, Lymph, Muscle, Ovary, Pancreas, Redmarrow, Cortical bone) with photon energy
pic
Figure 6.
Variation of effective atomic number of some tissues (SK bone, Skeleton-femur, Skeleton-humerus, Skin, Spleen, Spongiosa, Testis, Thyroid, Yellow marrow) with photon energy
pic

To verify the validity of the proposed formulae, we have compared the values produced by present work with that of experimental values available in literature. The comparison of mass attenuation coefficients produced by the present formulae with that of experimental values is shown in the Table 5. From this table, it is clear that the values produced by the present formulae agree well with the experiments. In the first stage of the work, we have established the relation between effective atomic number and elemental composition of tissues. The proposed new parameter effective composition index (Ceff) helps in achieving an accurate relation between effective atomic number and elemental composition of the tissue at a given energy. In the second stage, we have established the exact relation between effective atomic number, mass attenuation coefficients (μ/ρ) and mass energy abosorption coefficients (μen/ρ). Hence, this set of simple formulae produces mass attenuation coefficients (μ/ρ) and mass energy abosorption coefficients (μen/ρ) from the elemental composition at a given energy.

Table 5:
Comparison of present work with experiments
Tissue Energy (keV) Mass attenuation coefficient (cm2/g) Tissue Energy (keV) Mass attenuation coefficient(cm2/g) Winxcom[5]
Experimental values[10] Present work Winxcom[5]     Experimental values[10] Present work
Adipose 8 6.0000[27] 5.560 5.501 Pancreas 27 0.4192[29] 0.4156 0.410
11 2.4000[27] 2.596 4.90 60 0.20673[29] 0.2027 0.203
15 1.0295[27] 1.118 1.10 122 0.1586[29] 0.1601 0.162
20 0.5200 [27] 0.569 0.510 279 0.1211[29] 0.1175 0.110
30 0.2947[27] 0.387 0.318 662 0.08615[29] 0.0749 0.079
Liver 30 0.3868[28] 0.429 0.410 Lung 27 0.32285[29] 0.3347 0.330
40 0.2821[28] 0.218 0.250 60 0.15904[29] 0.1548 0.150
50 0.2415[28] 0.203 0.250 122 0.11714[29] 0.1352 0.131
60 0.2198[28] 0.199 0.210 279 0.08667[29] 0.089 0.080
70 0.2145[28] 0.181 0.190 662 0.06267[29] 0.066 0.065
80 0.1962[28] 0.171 0.180 Kidney 27 0.4323[29] 0.4369 0.421
90 0.19056[28] 0.166 0.170 60 0.208[29] 0.2062 0.210
100 0.1887[28] 0.161 0.160 122 0.157[29] 0.1601 0.159
110 0.1557[28] 0.159 0.151 279 0.121[29] 0.1370 0.135
        662 0.085[29] 0.0909 0.089
Kidney 30 0.3705[28] 0.388 0.380 Breast 8 9.157[30] 8.708 8.501
40 0.2657[28] 0.245 0.250 10 5.392[30] 4.454 4.100
50 0.2343[28] 0.221 0.231 12 3.382[30] 2.91 3.103
60 0.2076[28] 0.197 0.205 14 2.098[30] 1.811 2.103
70 0.1895[28] 0.196 0.191 Bone 140 0.1255[31] 0.130 0.129
80 0.19142[28] 0.190 0.190 364 0.10104[31] 0.118 0.101
90 0.1838[28] 0.171 0.170 662 0.0667[31] 0.083 0.070
100 0.1667[28] 0.177 0.175 Muscle 140 0.1495[31] 0.142 0.141
110 0.1876[28] 0.173 0.172 364 0.09143[31] 0.102 0.090
        662 0.0771[31] 0.091 0.082
Brain 27 0.43365[28] 0.421 0.410 Liver 27 0.416[29] 0.410 0.410
60 0.2096[28] 0.224 0.210 60 0.2085[29] 0.209 0.210
122 0.1644[28] 0.154 0.145 122 0.1557[29] 0.1607 0.154
279 0.1231[28] 0.122 0.132 279 0.1188[29] 0.1276 0.112
662 0.0872[28] 0.103 0.080 662 0.0849[29] 0.0782 0.078
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4. Conclusion

The proposed semi empirical formulae of mass attenuation coefficients (μ/ρ), mass energy abosorption coefficients (μen/ρ), and effective atomic number for tissues of human organs in the energy range 1 keV-20 MeV produce values which agree well with experiments. This formulae is the first of its kind and it is useful in radiotherapy and medical physics.

References
1. D.A Bradley, C.S Chong, A.M. Ghose,

Photon absorptiometric studies of elements, mixtures and substances of biomedical interest

. Phys. Med. Biol. 31,267-273 (1986),.doi: 10.1088/0031-9155/31/3/005
Baidu ScholarGoogle Scholar
2. J.W. Byng, J.G. Mainprize, M.J. Yaffe,

X-ray characterization of breast phantom materials

. Phys.Med. Biol. 43, 1367e1377 (1998), doi: 10.1088/0031-9155/43/5/026
Baidu ScholarGoogle Scholar
3. J.H Hubbell, S.M Seltzer,

Tables of X-ray mass attenuation coefficients and mass energy-absorption coefficients 1e20MeV for elements Z= 1 to 92 and 48 additional substances of dosimetric interest

. Natl. Inst. Stand. Technol. Physical Reference Data, 5632. (1995), http://physics.nist.gov/PhysRefData/XrayMassCoef/cover.html
Baidu ScholarGoogle Scholar
4. M.J. Berger, J.H. Hubble,

NBSIR 87-3597, National institute of standards and technology, Gaithersburg, MD,USA

, https://www.nist.gov
Baidu ScholarGoogle Scholar
5. L. Gerward, N. Guilbert, K.B. Jensen et al.,

WinXCom—a program for calculating X-ray attenuation coefficients

. Rad. Phy. Chem. 71, 653-654 (2004). doi: 10.1016/j.radphyschem.2004.04.040
Baidu ScholarGoogle Scholar
6. G.J. Hine.

The effective atomic number of material for various γ interaction

, Phys. Rev 85, 725-730 (1952).
Baidu ScholarGoogle Scholar
7. N. C Yang, P. K. Leichner, W. G. Hawkins.

Effective atomic number for low-energy total photon interactions in human tissues Med

. Phys. 14, 759-763 (1987). DOI: 10.1118/1.596000
Baidu ScholarGoogle Scholar
8. B. V. Rao, M. L. Raju, B. M Rao et al.,

Interaction of low energy photons with biological samples and effective atomic number

. Med. Phys. 12, 745-748 (1985), DOI: 10.1118/1.595658
Baidu ScholarGoogle Scholar
9. V. Manjunathaguru, T. K. Umesh,.

Effective atomic numbers and electron densities of some biologically important compounds containing H, C, N and O in the energy range 145–1330 keV J

. Phys. B-At. Mol. Opt. Phys. 39, 3969-81 (2006) doi: 10.1088/0953-4075/39/18/025/meta
Baidu ScholarGoogle Scholar
10. M. Kurudirek, T. Onaran,

Calculation of effective atomic number and electron density of essential biomolecules for electron, proton, alpha particle and multi-energetic photon interactions

, Rad. Phys. Chem. 112, 125-138 (2015), doi: 10.1016/j.radphyschem.2015.03.034
Baidu ScholarGoogle Scholar
11. M. Kurudirek,

Effective atomic numbers and electron densities of some human tissues and dosimetric materials for mean energies of various radiation sources relevant to radiotherapy and medical applications

, Rad. Phys. Chem. 102, 139-146 (2014), DOI: 10.1016/j.radphyschem.2014.04.033
Baidu ScholarGoogle Scholar
12. M. Kurudirek, O. Aksakal, T. Akkuş,

Investigation of the effective atomic numbers of dosimetric materials for electrons, protons and alpha particles using a direct method in the energy region 10 keV–1 GeV: a comparative study

, Rad. Env. Bio. Phys 54, 481-492 (2015) doi: 10.1007/s00411-015-0606-5
Baidu ScholarGoogle Scholar
13. H.C Manjunatha,

Influence of gamma irradiation on conductivity of YBa2Cu3O7

. Rad. Phy. Chem. 113, 24-27 (2015), doi: 10.1016/j.radphyschem.2015.04.010
Baidu ScholarGoogle Scholar
14. L Seenappa, H.C. Manjunatha, B.M. Chandrika et al.,

A study of shielding properties of X-ray and gamma in barium compounds

. J. Rad. Prot. Res. 42, 26-32 (2017), doi: 10.14407/jrpr.2017.42.1.26
Baidu ScholarGoogle Scholar
15. H.C. Manjunatha,

A study of gamma attenuation parameters in poly methyl methacrylate and Kapton

. Rad. Phy. Chem. 137, 254-259 (2016),DOI: 10.1016/j.radphyschem.2016.01.024
Baidu ScholarGoogle Scholar
16. H.C. Manjunatha, L. Seenappa, B.M. Chandrika, et al.,

A study of photon interaction parameters in barium compounds

. Annal. Nucl. Ener. 109, 310-317 (2017), doi: 10.1016/j.anucene.2017.05.042
Baidu ScholarGoogle Scholar
17. B Rudraswamy, N Dhananjaya, H.C. Manjunatha,

Measurement of absorbed dose rate of gamma radiation for lead compounds

. Nucl. Instrum. Meth. A. 619, 171-173 (2010), doi: 10.1016/j.nima.2009.11.026
Baidu ScholarGoogle Scholar
18. H.C. Manjunatha, B.M. Chandrika, L. Seenappa, et al.,

Study of gamma attenuation properties of tungsten copper alloys

, Int. J. Nucl. Ener. Sci. and Tech. 10, 356-368 (2016), doi: 10.1504/IJNEST.2016.082005
Baidu ScholarGoogle Scholar
19. H.C. Manjunatha, B. Rudraswamy,

Study of effective atomic number and electron density for tissues from human organs in the energy range of 1 keV–100 GeV

. Health Phy.104, 158-162 (2013), doi: 10.1097/HP.0b013e31827132e3.
Baidu ScholarGoogle Scholar
20. K.C Suresh, H.C. Manjunatha, B. Rudraswamy,

Study of Zeff for DNA, RNA and Retina by numerical methods

. Rad. Protect. Dosim.128, 294-298 (2008), doi: 10.1093/rpd/ncm382
Baidu ScholarGoogle Scholar
21. H.C. Manjunatha, B. Rudraswamy,

Computation of CT-number and Zeff in Teeth

. Health Phy. 100, S92-S99 (2011), doi: 10.1097/HP.0b013e3181f508ac
Baidu ScholarGoogle Scholar
22. H.C. Manjunatha,

A study of photon interaction parameters in lung tissue substitutes

. J. Med. Phy. 39, 112-5 (2014), doi: 10.4103/0971-6203.131286.
Baidu ScholarGoogle Scholar
23. H.C. Manjunatha, B.M. Chandrika, B. Rudraswamy, et al.,

Beta Bremsstrahlung dose in concrete shielding

. Nucl. Instrum. Meth. A, 674, 74-78 (2012), doi: 10.1016/j.nima.2012.01.046
Baidu ScholarGoogle Scholar
24. H.C. Manjunatha, B. Rudraswamy,

Energy absorption and exposure build-up factors in hydroxyapatite

. Rad. Meas. 47, 364-370 (2012), doi: 10.1016/j.radmeas.2012.02.001
Baidu ScholarGoogle Scholar
25. H.C. Manjunatha, B. Rudraswamy,

Computation of exposure build-up factors in teeth

. Rad. Phy. Chem. 80, 14-21 (2011), doi: 10.1016/j.radphyschem.2010.09.004
Baidu ScholarGoogle Scholar
26. H.C. Manjunatha, B. Rudraswamy,

Energy absorption build-up factors in teeth

. J. Radio. Nucl. Chem. 294, 251-260 (2012) doi: 10.1007/s10967-011-1490-3
Baidu ScholarGoogle Scholar
27. A. Tomal, I. Mazarro, E.M. Kakuno et al.,

Experimental determination of linear attenuation coefficient of normal, benign and malignant breast tissues

, Radiat. Meas., 45, 1055-1059 (2010), doi: 10.1016/j.radmeas.2010.08.008
Baidu ScholarGoogle Scholar
28. B.W. King, K.A. Landheer, P.C. Johns,

X-ray coherent scattering form factors of tissues, water and plastics using energy dispersion

, Phys. Med. Biol. 56, 4377-4397 (2011), DOI: 10.1088/0031-9155/56/14/010
Baidu ScholarGoogle Scholar
29 P.S Rao, E.C. Gregg, Am. J. Roentgenol 123, 631e637 (1975) https://www.ncbi.nlm.nih.gov/nlmcatalog
30. S. Mirji, N.M. Badiger, S. S. Kulkarni, et al.,

Measurement of linear attenuation coefficients of normal and malignant breast tissues using synchrotron radiation

. X-Ray Spectrum. 45, 185-189 (2016). doi: 10.1002/xrs.2685
Baidu ScholarGoogle Scholar
31. A. Akar, H. Baltaş, U.   Çevik et al.,

Measurement of attenuation coefficients for bone, muscle, fat and water at 140, 364 and 662 keV γ-ray energies

. J. Quant. Spectrosc. Ra. 102, 203-211 (2006), doi: 10.1016/j.jqsrt.2006.02.007
Baidu ScholarGoogle Scholar
32.

ICRU report No.44 (1989)

, https://icru.org/home/reports/tissue-substitutes-in-radiation-dosimetry-and-measurement-report-44
Baidu ScholarGoogle Scholar