Active bone marrow is a particularly radiosensitive structure in the human body, as evidenced by high rates of radiation-induced leukemia in atomic bomb survivors, workers in nuclear power and the nuclear weapons complex, medical workers, nuclear accident victims, and environmentally exposed members of the public.1–4 Assessing the dose to bone marrow is important for medical, occupational, and space-related radiation exposures.
Organ doses from radiation exposures are routinely estimated using the medical internal radiation dose (MIRD) computational phantom. The MIRD phantom was first introduced in the 1970s as a tool for estimating the dose from internal radiation sources in nuclear medicine. In the decades since its introduction, applications of the MIRD phantom have grown substantially to include scenarios involving external medical, occupational, and space-related exposures.
However, bone marrow is not defined in the MIRD phantom, and early MIRD literature notes the lack of bone marrow volumes as a known limitation of the model.5–7 Consequently, methods for indirectly estimating the dose to the bone marrow have been developed over the past several decades. Prior methods for calculating dose to active bone marrow in simulations using the MIRD phantom are to estimate the dose based on surrogate volumes or to use the average dose to the soft tissue.5–13 There are limitations of each of these methods, including the inability to calculate the dose to a specific bone marrow volume, and dose inaccuracies for certain energy ranges and radiation species. Newer models have solved some of these issues for specific applications, primarily within the nuclear medicine community and involving internal radiation sources,8–11,13 but these models vary in complexity and general applicability.
The present article describes a novel method for improving the fidelity of the traditional MIRD phantom by adding bone marrow volumes to the geometry. This improved fidelity MIRD phantom provides a more accurate representation of the human body that improves dose estimates and, therefore, can provide higher confidence in bone marrow dosimetry across many applications.
METHODSFor the persent study, we conducted Monte Carlo simulations in Geant414 using the QBBC physics list and 109 initiated source particles per run. The geometry of the MIRD phantom was based on an example packaged with the Geant4 version 10.03.p03 release (/examples/advanced/human_phantom). This geometry includes approximations of a 70-kg man and woman. In these approximations of the human body, not every organ structure is modeled; some structures, such as the bone marrow, are not defined, whereas other structures, such as specific bones, are approximated. Therefore, the MIRD phantom is termed a stylized computational phantom.5–7
The distribution of active bone marrow in an average 40-year-old adult was taken from the literature15. Approximations of the active bone marrow distribution based on the bone volumes present in the MIRD phantom were calculated; for example, the MIRD phantom does not include a mandible, so we increased the distribution of marrow in the cranium to account for the additional amount. Similarly, the bone marrow in the sternum, which is not defined in the MIRD phantom, was added to the rib contribution. Finally, the spine is divided into fewer sections in the MIRD phantom than in full human anatomy. A summary of the modifications to the bone marrow distribution for the bones present in the MIRD phantom, as compared with the bone marrow distribution from the literature, are given in Table 1.
TABLE 1 Active bone marrow distribution for a 40-year-old adult from the literature15 and medical internal radiation dose phantom modified in the present study.
| Bone | % Active marrow (Cristy 1981) | % Active marrow (modified MIRD) |
| Cranium | 7.6 | 8.4 |
| Mandible | 0.8 | – |
| Scapulae | 2.8 | 2.8 |
| Clavicles | 0.8 | 0.8 |
| Ribs | 16.1 | 19.2 |
| Sternum | 3.1 | – |
| Upper spine | 3.9 | 3.9 |
| Mid-lower spine | – | 38.4 |
| Thoracic vertebrae | 16.1 | – |
| Lumbar vertebrae | 12.3 | – |
| Sacrum | 9.9 | – |
| Pelvis | 17.5 | 17.5 |
| Femora | 6.7 | 6.7 |
| Humeri | 2.3 | 2.3 |
MIRD, medical internal radiation dose.
The total mass of bone marrow in adults is approximately 4% of the total body mass,16 with approximately half of this marrow being hematopoietic/red (active) marrow. Therefore, for the present 70-kg MIRD phantom, we set the total bone marrow mass to 3 kg and active marrow mass to 1.5 kg. We used a density of active bone marrow of 1.06 g/cm3, with elemental composition described in the literature.8
To model the active bone marrow within the MIRD phantom in our simulations, we created daughter volumes for bone marrow within the bone volumes included in our MIRD phantom. To size the bone marrow daughter volume for each bone in the phantom, we performed calculations based on the active bone marrow distribution, average total bone marrow mass in adults, bone marrow density and composition, and the size and shape of each bone volume. Full details of these calculations are included in Appendix 1. Figure 1 shows a cutaway view of our modified MIRD phantom geometry in our simulations; bone marrow volumes are visible within several bones in this figure.
FIGURE 1. Modified medical internal radiation dose phantom modeled in Geant4 with active bone marrow volumes added in red.
To calculate the dose to bone marrow in simulation, we tallied the energy deposited to each of our marrow volumes within Geant4 and calculated absorbed dose (D) by dividing energy deposited by mass for each marrow volume. We then translated absorbed dose to dose equivalent (H) using radiation quality factors (Q).17 The dose equivalent for the collective bone marrow was then calculated by taking the mass-weighted average of dose equivalent over all bone marrow volumes.
To evaluate the impact of our modifications to the MIRD phantom, we compared our bone marrow dosimetry method with three prior methods from the literature. These prior approaches were developed over the past several decades to estimate bone marrow dose indirectly because the MIRD phantom does not define bone marrow volumes. The first method we replicated was that which was presented in the early MIRD documentation.12 For this method, we assumed a bone and marrow mixture to be uniformly distributed throughout the bone volume, where the density and chemical composition were a weighted composite of bone and marrow. The bone marrow dose was taken as the average skeletal dose to the homogeneous bone/marrow volumes. The second method simply considered the energy deposition in solid bone, although the bone marrow dose was estimated based on the bone marrow distribution.13 The third method was to calculate and average the soft tissue dose from other organs within the MIRD phantom and assign an average soft tissue dose to the total bone marrow volume.6
To explore the impact of modifying the phantom over the range of applications where MIRD phantoms are used, we chose to compare bone marrow dose calculations from our improved fidelity MIRD phantom in medical, occupational, and space-related exposure example scenarios.
For the medical example, we selected posterior-anterior exposure orientation and simulated a standard clinical chest x-ray examination extending from the diaphragm to clavicle (see Figure 2) using a point source collimated to a 35.6 cm × 43.2 cm (14″ × 17″) photon field simulating a 183-cm source-to-image distance and a 5.1-cm patient-to-detector distance. Detector assembly and patient support were not modeled, so backscatter from those were not accounted for. We selected monoenergetic x-rays spanning the relevant clinical energies (20, 30, 40, 50, 60, 80, 100, 120, and 140 keV), as well as typical polychromatic diagnostic x-ray spectra (110, 125, and 140 kVp) derived from a semi-empirical computational method (see Figure 3).18,19 To compare the polychromatic x-ray spectra and the monoenergetic beams, we converted the spectra to equivalent energy based on their half-value layer and mass attenuation coefficients as described by Johns and Cunningham.20 For the clinical x-ray spectra used in our medical example, the equivalent energies are provided in Table 2.
FIGURE 2. Medical internal radiation dose phantom under 125 kVp posterior-anterior diagnostic x-ray irradiation modeled using Geant4 to show geometry.
TABLE 2 Equivalent photon energy for clinical diagnostic x-ray spectra.
| kVp | hν (keV) |
| 110 | 40 |
| 125 | 43 |
| 140 | 46 |
For the occupational exposure example, we selected the anterior-posterior (AP) and isotropic orientations from the ICRP reference fields,21 and simulated exposure to common radioactive isotopes cesium (137Cs) and cobalt (60Co). The AP exposure used a 200 cm × 40 cm planar source 1 m in front of the phantom (see Figure 4). The isotropic exposure used an isotropic photon source around the phantom (see Figure 5) with 137Cs (0.662 MeV) and 60Co (1.173 and 1.332 MeV).
FIGURE 4. Medical internal radiation dose phantom under anterior-posterior gamma irradiation at 0.662 MeV, as modeled using Geant4.
FIGURE 5. Medical internal radiation dose phantom under isotropic gamma irradiation at 0.662 MeV, as modeled using Geant4.
For the space radiation example, we selected an isotropic orientation based on the characteristics of the space radiation environment.22 We simulated exposure to galactic cosmic ray radiation (see Figure 6). The galactic cosmic ray radiation environment consists of ions from protons to iron, at energies spanning ∼MeV to ∼TeV.22 To simulate galactic cosmic ray radiations for the space example, we selected a mixture of ions according to their distribution22 and monoenergetic radiation at energies of 10 MeV, 100 MeV, 1 GeV, 10 GeV, 100 GeV, and 1 TeV.
FIGURE 6. Medical internal radiation dose phantom under isotropic galactic cosmic ray irradiation at 1 GeV as modeled using Geant4.
The range of conditions evaluated in the present study is shown in Table 3.
TABLE 3 Scenario definitions for bone marrow dose.
| Example type | Radiation field | Radiation species | Energy | Dosimetry method |
| Medical | PA | X-ray | 20, 30, 40, 50, 60, 70, 80, 100, 120, 140 keV |
1. Improved fidelity MIRD dose 2. Proportion of bone dose |
| 110, 125, 140 kVp |
3. Proportion of homogeneous bone/marrow dose 4. Average soft tissue dose |
|||
| Radiation protection |
AP iso |
Gamma |
0.662 MeV 1.17, 1.33 MeV |
1. Improved fidelity MIRD dose 2. Proportion of bone dose 3. Proportion of homogeneous bone/marrow dose 4. Average soft tissue dose |
| Space radiation | Iso |
Proton Alpha Heavy ion |
10, 100 MeV 1, 10, 100 GeV 1 TeV |
1. Improved fidelity MIRD dose 2. Proportion of bone dose 3. Proportion of homogeneous bone/marrow dose 4. Average soft tissue dose |
AP, anterior-posterior; iso, isotropic; MIRD, medical internal radiation dose; PA, posterior-anterior.
RESULTSWe compared the present dosimetry results using the improved fidelity MIRD phantom with the results from the three bone marrow dose estimation methods (summarized in Table 3). Figures 7–10 show the relative dose equivalent delivered to the bone marrow in each case calculated by each of the three indirect estimation methods, as well as by improved fidelity MIRD calculations.
FIGURE 7. Bone marrow dose equivalent in the medical example, as calculated via four different dosimetry methods, using monoenergetic photons and spectral x-ray sources. Error bars represent the standard deviation from Monte Carlo simulations. MIRD, medical internal radiation dose.
FIGURE 8. Bone marrow dose equivalent for radiation protection (anterior-posterior) example. Error bars represent the standard deviation from the Monte Carlo simulations. MIRD, medical internal radiation dose.
FIGURE 9. Bone marrow dose equivalent for radiation protection (iso) example. Error bars represent the standard deviation from the Monte Carlo simulations. MIRD, medical internal radiation dose.
FIGURE 10. Bone marrow dose equivalent for space radiation (iso) example. Galactic cosmic rays (GCRs) included ions from Z = 1 to Z = 26 at the energies indicated. Error bars represent the standard deviation from the Monte Carlo simulations. MIRD, medical internal radiation dose.
For the medical example, we simulated bone marrow dose from both monoenergetic photons and typical clinical diagnostic x-ray spectra sources. Figure 7 shows that the improved fidelity MIRD model reports a smaller bone marrow dose than the traditional methods based on a proportion of solid bone dose or an average homogeneous bone/marrow volume dose. At clinical energies, the dose from the improved fidelity model was lower by a factor of three than the solid bone approach, and lower by a factor of two than the bone/marrow mixture approach. In contrast, the improved fidelity model agreed reasonably well with the average soft-tissue dose. This substantial spread in results highlights the dramatic difference in simulated bone marrow dose between different methods used in the literature.
Occupational exampleFigures 8 and 9 show the calculated bone marrow dose from the AP and isotropic irradiation cases. No significant difference in bone marrow dose equivalent was found between with the improved fidelity MIRD phantom or any of the three prior estimation methods at gamma energies from common radioactive isotopes in the AP or isotropic orientations. The difference between bone marrow dose values from the three prior estimation methods and those reported from the improved fidelity MIRD model were within the envelope defined by the error bars established as the standard deviation of the improved fidelity MIRD data. Thus, the differences in dose values are not statistically significant, leaving us to conclude that any of the estimation values would yield similar values.
Space radiation exampleFigure 10 shows that, similar to the occupational example, there is no significant difference in bone marrow dose equivalent, as calculated with the improved fidelity MIRD phantom or any of the three prior estimation methods at galactic cosmic ray energies in an isotropic orientation. In this example as well, the difference between bone marrow dose values from the three prior estimation methods and those reported from the improved fidelity MIRD model were within the envelope defined by the error bars established as the standard deviation of the improved fidelity MIRD data. Thus, the differences in dose values are not statistically significant, leaving us to conclude that any of the models of active bone marrow, including the simplest dose estimation method (average soft tissue dose) can be used equivalently for space radiation applications involving isotropic galactic cosmic ray radiation in this energy range.
DISCUSSIONSeveral bone marrow dose estimation methods were evaluated in the present study across example human exposure scenarios. In specific example cases, the choice of bone marrow dosimetry method affected the estimated bone marrow dose by a substantial degree, whereas in other example cases, the estimated bone marrow dose did not vary significantly based on the choice of dosimetry method.
The bone marrow dose differences observed in the medical example are consistent with the higher atomic number (Z) of the solid bone and homogeneous bone/marrow volumes. At these photon energies, photon interactions are dominated by the photoelectric effect, which depends on the target material atomic number by approximately Z3. Due to this effect, the total mass attenuation coefficient (μ/ρ) at clinical diagnostic x-ray energies varies by approximately a factor of three between soft tissue and bone.20 This is consistent with the difference in bone marrow dose between the solid bone and improved fidelity approaches. Similarly, the uniform mixture of bone and marrow would be expected to over-respond compared with soft tissue by approximately a factor of two, which is similar to the differences seen in Figure 7. The simple soft tissue average dose for the medical example is closest to what we calculated with the improved fidelity MIRD model, although this method underestimates the bone marrow dose by between 6% at 140 keV and 30% at 20 keV. This discrepancy is consistent with the presence of buildup in the bone tissue, which creates an increase in bone marrow dose near the interface with solid bone.23
In the occupational and space radiation examples, higher-energy photons and particles are involved. These high-energy photons interact through Compton scattering, which is a process independent of atomic number. Similarly, for high-energy charged particles, mass stopping power ratios do not change dramatically with atomic number. Because of the insensitivity of dose to atomic number at these high photon or charged particle energies, actual material composition has minimal impact. Therefore, the estimated bone marrow dose is substantially independent of the method by which the bone marrow is estimated for these exposure scenarios.
In addition to dosimetric considerations, a higher fidelity model has benefits over indirect estimation. It is more robust for a broad-spectrum, because low energy photons exhibit major differences in interactions. Furthermore, our improved fidelity MIRD model is suitable for any study where estimation of dose to a specific volume of marrow is required.
These results indicate that prior indirect estimation methods using the MIRD phantom can potentially overestimate the active bone marrow dose by more than a factor of three across clinical diagnostic x-ray energies, confirming limitations provided in the MIRD literature.2–4 Because active bone marrow dose is assigned a high tissue weighting factor in the calculation of effective dose,17 and in translation to the risk of radiation-induced cancer incidence and mortality, a discrepancy of this size could create a sizeable overestimate of the risk of radiation-induced cancer for a given exposure. Although our improved fidelity model is still not an exact replica of the human body, the bone marrow representation and direct dose tallying could improve the accuracy of effective dose and the estimated risk of radiation-induced cancers.
CONCLUSIONSIn summary, our improved fidelity MIRD phantom includes direct calculation of bone marrow dose equivalents and increases the realism of the stylized phantom. Comparing direct calculations of bone marrow dose using the higher fidelity MIRD phantom to indirect dose calculations via prior methods across several examples from medical, occupational, and space radiation applications shows that there are differences in the estimated dose to bone marrow that are most pronounced in low-energy applications (<200 keV). Differences in this diagnostic energy range can exceed a factor of three. In applications such as these, the method of evaluating dose to bone marrow is very important and should be implemented with due consideration. Particularly, in medical applications involving lower-energy x-rays, it is recommended that an improved fidelity MIRD phantom be used, which can improve the accuracy of dose calculation to bone marrow.
ACKNOWLEDGMENTSThis work was partially funded by the first author's graduate fellowship provided by The Aerospace Corporation, El Segundo, California.
CONFLICT OF INTEREST STATEMENTThe authors declare no conflicts of interest.
| Bone | Mass (g) | Net volume (cm3) | Density (g/cm3) | % Total active marrow | Marrow volume shape | Marrow volume calculation | Marrow G4 volume dimensions (cm) |
| Cranium | 1398.05 | 728.15 | 1.92 | – | – | – | – |
| Cranium marrow | 126.00 | 118.87 | 1.06 | 8.40% | Subtraction ellipsoid | V = 4/3π (ABC-abc) |
A = 6.48, B = 9.48, C = 7.48 a = 6.32, b = 9.32, c = 7.32 |
| Left scapula | 155.77 | 81.13 | 1.92 | – | – | – | – |
| Left scapula marrow | 21.00 | 19.81 | 1.06 | 1.40% | Subtraction elliptical tube segment | V = π (ABH-abh) × θ/2π |
A = 18.2, B = 9.8, H = 8.199 a = 17.8, b = 9.8, h = 8.199 θ ∼ 0.4 rad |
| Right scapula | 156.25 | 81.38 | 1.92 | – | – | – | – |
| Right scapula marrow | 21.00 | 19.81 | 1.06 | 1.40% | Subtraction elliptical tube segment | V = π (ABH-abh) × θ/2π |
A = 18.2, B = 9.8, H = 8.199 a = 17.8, b = 9.8, h = 8.199 θ ∼ 0.4 rad |
| Left clavicle | 15.38 | 8.01 | 1.92 | – | – | – | – |
| Left clavicle marrow | 6.00 | 5.66 | 1.06 | 0.40% | Torus segment | V = πr2 × 2πR × θ/2π | r = 0.5, R = 10, θ = 0.69 rad |
| Right clavicle | 15.38 | 8.01 | 1.92 | – | – | – | – |
| Right clavicle marrow | 6.00 | 5.66 | 1.06 | 0.40% | Torus segment | V = πr2 × 2πR × θ/2π | r = 0.5, R = 10, θ = 0.69 rad |
| Rib 1 | 66.62 | 34.70 | 1.92 | – | – | – | – |
| Rib 1 marrow | 24.00 | 22.64 | 1.06 | 1.60% | Subtraction elliptical tube | V = π (ABH-abh) |
A = 16.85, B = 9.65, H = 1.398 a = 16.65, b = 9.45, h = 1.398 |
| Rib 2 | 67.52 | 35.17 | 1.92 | – | – | – | – |
| Rib 2 marrow | 24.00 | 22.64 | 1.06 | 1.60% | Subtraction elliptical tube | V = π (ABH-abh) |
A = 16.85, B = 9.65, H = 1.398 a = 16.65, b = 9.45, h = 1.398 |
| Rib 3 | 68.35 | 35.60 | 1.92 | – | – | – | – |
| Rib 3 marrow | 24.00 | 22.64 | 1.06 | 1.60% | Subtraction elliptical tube | V = π(ABH-abh) |
A = 16.85, B = 9.65, H = 1.398 a = 16.65, b = 9.45, h = 1.398 |
| Rib 4 | 67.37 | 35.09 | 1.92 | – | – | – | – |
| Rib 4 marrow | 24.00 | 22.64 | 1.06 | 1.60% | Subtraction elliptical tube | V = π (ABH-abh) |
A = 16.85, B = 9.65, H = 1.398 a = 16.65, b = 9.45, h = 1.398 |
| Rib 5 | 67.43 | 35.12 | 1.92 | – | – | – | – |
| Rib 5 marrow | 24.00 | 22.64 | 1.06 | 1.60% | Subtraction elliptical tube | V = π (ABH-abh) |
A = 16.85, B = 9.65, H = 1.398 a = 16.65, b = 9.45, h = 1.398 |
| Rib 6 | 67.22 | 35.01 | 1.92 | – | – | – | – |
| Rib 6 marrow | 24.00 | 22.64 | 1.06 | 1.60% | Subtraction elliptical tube | V = π(ABH-abh) |
A = 16.85, B = 9.65, H = 1.398 a = 16.65, b = 9.45, h = 1.398 |
| Rib 7 | 67.54 | 35.18 | 1.92 | – | – | – | – |
| Rib 7 marrow | 24.00 | 22.64 | 1.06 | 1.60% | Subtraction elliptical tube | V = π (ABH-abh) |
A = 16.85, B = 9.65, H = 1.398 a = 16.65, b = 9.45, h = 1.398 |
| Rib 8 | 67.43 | 35.12 | 1.92 | – | – | – | – |
| Rib 8 marrow | 24.00 | 22.64 | 1.06 | 1.60% | Subtraction elliptical tube | V = π (ABH-abh) |
A = 16.85, B = 9.65, H = 1.398 a = 16.65, b = 9.45, h = 1.398 |
| Rib 9 | 67.91 | 35.37 | 1.92 | – | – | – | – |
| Rib 9 marrow | 24.00 | 22.64 | 1.06 | 1.60% | Subtraction elliptical tube | V = π (ABH-abh) |
A = 16.85, B = 9.65, H = 1.398 a = 16.65, b = 9.45, h = 1.398 |
| Rib 10 | 67.14 | 34.97 | 1.92 | – | – | – | – |
| Rib 10 marrow | 24.00 | 22.64 | 1.06 | 1.60% | Subtraction elliptical tube | V = π (ABH-abh) |
A = 16.85, B = 9.65, H = 1.398 a = 16.65, b = 9.45, h = 1.398 |
| Rib 11 | 67.10 | 34.95 | 1.92 | – | – | – | – |
| Rib 11 marrow | 24.00 | 22.64 | 1.06 | 1.60% | Subtraction elliptical tube | V = π (ABH-abh) |
A = 16.85, B = 9.65, H = 1.398 a = 16.65, b = 9.45, h = 1.398 |
| Rib 12 | 67.95 | 35.39 | 1.92 | – | – | – | – |
| Rib 12 marrow | 24.00 | 22.64 | 1.06 | 1.60% | Subtraction elliptical tube | V = π (ABH-abh) |
A = 16.85, B = 9.65, H = 1.398 a = 16.65, b = 9.45, h = 1.398 |
| Upper spine | 136.73 | 71.21 | 1.92 | – | – | – | – |
| Upper spine marrow | 58.50 | 55.19 | 1.06 | 3.90% | Elliptical tube | V = π (abh) | a = 1.53, b = 1.91, h = 6 |
| Middle lower spine | 407.17 | 212.07 | 1.92 | – | – | – | – |
| Middle lower spine marrow | 574.50 | 541.98 | 1.06 | 38.30% | Elliptical tube | V = π (abh) | a = 1.7, b = 2.12, h = 47.98 |
| Pelvis | 681.71 | 355.06 | 1.92 | – | – | – | – |
| Pelvis marrow | 262.50 | 247.64 | 1.06 | 17.50% | Subtraction elliptical tube segment | V = π (ABH-abh) ˜× θ/2π |
A = 11.68, B = 11.79, H = 21.998 a = 11.51, b = 11.51, h = 21.998 θ ∼ π rad |
| Left leg bone | 2596.48 | 1352.33 | 1.92 | – | – | – | – |
| Left leg bone marrow | 50.25 | 47.41 | 1.06 | 3.35% | Cylinder | V = πr2 h | r = 0.434, h = 79.798 |
| Right leg bone | 2596.48 | 1352.33 | 1.92 | – | – | – | – |
| Right leg bone marrow | 50.25 | 47.41 | 1.06 | 3.35% | Cylinder | V = πr2 h | r = 0.434, h = 79.798 |
| Left arm bone | 1541.62 | 802.93 | 1.92 | ||||
| Left arm bone marrow | 17.25 | 16.27 | 1.06 | 1.15% | Elliptical tube | V = π (abh) | a = 0.197, b = 0.38, h = 69 |
| Right arm bone | 1539.85 | 802.01 | 1.92 | ||||
| Right arm bone marrow | 17.25 | 16.27 | 1.06 | 1.15% | Elliptical tube | V = π (abh) | a = 0.197, b = 0.38, h = 69 |
| Total bone mass | 12050.44 | ||||||
| Total active marrow mass | 1498.50 |
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Abstract
Background
Reliable estimates of radiation dose to bone marrow are critical to understanding the risk of radiation-induced cancers. Although the medical internal radiation dose phantom is routinely used for dose estimation, bone marrow is not defined in the phantom. Consequently, methods of indirectly estimating bone marrow dose have been implemented based on dose to surrogate volumes or average dose to soft tissue.
Methods
In this study, new bone marrow structures were implemented and evaluated to the medical internal radiation dose phantom in
Conclusion
Our results show that bone marrow dose may be overestimated by up to a factor of three when using the traditional methods when compared with the improved fidelity medical internal radiation dose method, specifically at clinical x-ray energies.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
1 The University of Texas M.D. Anderson Cancer Center, Houston, Texas, USA; The University of Texas M.D. Anderson Cancer Center UT Health Graduate School of Biomedical Sciences, Houston, Texas, USA; The Aerospace Corporation, Houston, Texas, USA
2 The University of Texas M.D. Anderson Cancer Center, Houston, Texas, USA; The University of Texas M.D. Anderson Cancer Center UT Health Graduate School of Biomedical Sciences, Houston, Texas, USA
3 The University of Texas M.D. Anderson Cancer Center, Houston, Texas, USA; Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, Connecticut, USA
4 Department of Statistics, Rice University, Houston, Texas, USA




