X-Ray Dosimetry in Projection Imaging and Computed Tomography

X-Ray Dosimetry in Projection Imaging and Computed Tomography


Radiation dosimetry encompasses the measurement and calculation of ionizing radiation energy deposition into matter—this chapter addresses the application of dosimetry to x-ray projection imaging and x-ray computed tomography.


  • 1. X-ray energy spectrum incident on a patient

    • a. Typical spectrum at 100 kV is shown with 3 mm inherent aluminum filtration (Fig. 11-1).

    • b. Interactions within tissues have energy dependencies that are considered for accurate dosimetry.

  • 2. Dose, D, deposited by primary photons at a specific depth x is given by (Eq. 11-1):

    where the photon fluence is φ(E) in #photons/cm2, the mass-energy absorption coefficient is µen(E)/ρ for photons of energy E, ρ is the density of the material, and µ(E) is the linear attenuation coefficient for photons of energy E.

    • a. The transmitted x-ray fluence for primary photons (Eq. 11-2) is reduced by attenuation (Fig. 11-2) as

      where µeff is the “match” of the effective attenuation of the 100 kV spectrum in Figure 11-1.

    • b. The intensity of the beam is reduced independent of attenuation by the inverse square law, as x-rays are emitted from a point source (the focal spot) with a diverging beam (Fig. 11-3)

  • 3. Generation of x-ray scatter: the complex geometry of x-ray scatter and other factors requires the use of computer-based Monte Carlo techniques to track the passage of primary and scatter photons.


All modern x-ray dosimetry relies extensively on Monte Carlo simulation. Sophisticated computer programs and algorithms track simulated x-ray photons as they are incident on the patient and in the tissue, photon by photon. Photons that do not interact with the patient, the primary photons, are those used to form the image. The vast majority of photons that do interact with the tissue (greater than 90% of the total) deposit dose through the photoelectric effect and Compton scattering. The statistical probabilities of the interactions and noninteractions followed for billions of photons derived from a polyenergetic spectrum provide a way to determine the dose to the skin and various organs in the body as explained in this section.

  • 1. Computing the random walk of each x-ray photon

    • a. Each incident x-ray from a bremsstrahlung spectrum is followed through stochastic processes and random number generators (Fig. 11-4).

    • b. Included are attenuation and geometry-dependent inverse square law processes described in Section 11.1, as well as photoelectric absorption and Compton scatter probabilities for each x-ray photon history.

    • c. The simulation loops over the energies (e.g., in 1 keV steps) in the filtered bremsstrahlung spectrum.

  • 2. The quantity absorbed dose (Eq. 11-3) is the energy deposited (dE) by ionizing radiation per unit mass (dm):

  • 3. The probability of dose deposition depends on x-ray photon energy and the tissue composition (fat, soft tissue, bone) at a specified depth to determine the likelihood of interaction and amount of deposited dose.

    • a. The photoelectric absorption interaction results in local deposition of most or all of the photon energy.

    • b. The Compton scatter interaction deposits a fraction of the incident photon dose, and a scattered photon continues on the random walk, emitted at an angle dependent on its energy and the tissue.

  • 4. Normalization point for entrance air kerma

    • a. Radiography and fluoroscopy: air kerma at the surface of the patient

    • b. Computed tomography: air kerma at the center of rotation (the isocenter)

  • 5. Mathematical phantoms

    • a. Simple geometrical phantoms to detailed anatomical models (Fig. 11-5) are used to simulate the body.

    • b. Anatomical models are segmented into relatively large (2 × 2 × 2 mm voxels) for use in simulations.


  • 1. X-ray interactions with electrons deposit dose to tissue

    • a. Photoelectric effect and Compton scatter ionize atoms/molecules at the site of interaction

    • b. An ejected electron further interacts with tissue in a very small local volume.

    • c. Electron collision with other electrons (called secondary electrons or “delta rays”) imparts energy.

    • d. Energy deposition can cause chemical changes (e.g., creation of hydroxyl radicals) that can damage DNA.

  • 2. Kerma

    • a. Kerma—“Kinetic energy released in matter.”

    • b. Air kerma is a special case of the energy released in air (Fig. 11-6).

    • c. X-ray interactions transfer energy to electrons—the absorbed energy is the difference of the energy transferred (Etr) and the energy radiated (Er) out of the volume (Fig. 11-7) as given by Equation 11-4.

  • 3. Absorbed dose in a medium (Fig. 11-8)


There are a number of metrics that describe dose in different ways

  • 1. Entrance skin air kerma (ESAK)

    • a. The amount of radiation incident on the surface of the patient (formerly entrance skin exposure [ESE]).

    • b. ESAK is an appropriate metric for radiographic, mammographic, and fluoroscopic procedures.

    • c. The ESAK value is estimated and derived from known output characteristics and geometry at the skin surface and is equal to the air kerma, Kair, at that point.

      • (i) Value is “free-in-air”—meaning that there is no influence of scatter from any medium in proximity.

    • d. For diagnostic radiology energies, the air kerma, Kair, approximates the dose to air, Dair: KairDair

  • 2. Entrance skin dose

    • a. Radiation dose imparted to the initial layers of skin.

    • b. The entrance skin dose includes (i) the dose in air, Dair (without backscatter); (ii) dose deposited to the skin by photons backscattered from the tissue volume; and (iii) the ratio of the tissue to air mass-energy attenuation coefficients relating the dose to tissue, Dtissue, to that measured in air, Dair.

      • (i) The ESAK is equivalent to the dose in air, Dair, without backscattered radiation.

      • (ii) Backscattered radiation contributes to the dose at the entrance surface—the backscatter factor is variable, dependent on tissue thickness and field size irradiated, ranging from approximately 1.1 to approximately 1.5.

      • (iii) The ratio of the tissue to air mass-energy attenuation coefficients for a small irradiated area accounts for an increase to the dose in tissue, where Dtissue [all equal to] 1.09 Dair (Eq. 11-5).

  • 3. Absorbed dose

    • a. Considered to be the fundamental concept of radiation dose.

    • b. Absorbed dose is the energy absorbed per unit mass (Eq. 11-3).

    • c. With energy expressed in joules and mass expressed in kilograms, the unit is the gray (Gy); 1 Gy = 1 J/kg.

    • d. Absorbed dose is specified at a specific point—the dose nearly always varies with position in the patient.

    • e. Dose is often misinterpreted as a metric directly related to “risk” as described below:

      • (i) Specification of the total mass of tissue that receives a given absorbed dose can have widely different impacts in terms of risk: for example, 10 Gy to a 20-mg finger versus average dose of 10 mGy to a 20-kg abdomen.

      • (ii) In the example, the finger and the abdomen receive the same absorbed dose, but the same risk?

      • (iii) Deposition of dose into organs or tissues affects the risk (see effective dose description, part 6 below).

    • f. Absorbed dose or just “dose” is the gold standard measurement describing one or more radiation exposure events.

  • 4. Mean glandular dose (also known as average glandular dose)

    • a. The mean glandular dose (MGD) is the dose metric for describing dose to the breast tissue, composed of fibroglandular, adipose (fat), and skin tissues—methods to determine MGD are explained in Chapter 8.

    • b. Radiosensitivity of glandular tissue is far greater than skin or adipose tissue.

    • c. MGD is the standard metric for computing dose in the breast.

  • 5. Organ dose

    • a. Metrics

      • (i) Average (mean) dose delivered to the specific organ of interest

      • (ii) For paired organs (e.g., kidneys or breasts), if a targeted examination deposits dose in only one (e.g., 0.2 mGy to the left kidney), the average dose to both kidneys for the procedure would be 0.1 mGy.

      • (iii) Implicit assumption is that the stochastic risk is the same whether one half of the organ receives all of the radiation or if the radiation dose was evenly distributed throughout the entire organ.

    • b. Anthropomorphic phantoms

      • (i) Organ doses from x-ray exposures in anthropomorphic phantoms can be estimated with Monte Carlo techniques (for further details, see Fig. 11-5, and textbook Pg. 418, Fig. 11-9)

      • (ii) A balance between accuracy and simulation efficiency for organ dose comes in the form of “hybrid modeling,” which combines analytical and Monte Carlo simulation methods on stylized or computational human phantoms ranging from the newborn to (male and female) adults

    • c. No one dose metric can do it all.

      • (i) A tally of organ doses represents the comprehensive assessment of radiation dose from imaging.

      • (ii) There is no single metric that can quantify “dose” and the corresponding radiosensitivity of an organ.

      • (iii) Different radiation types (x-rays, gamma rays, electrons, protons, alpha particles) can deposit dose quite differently in tissues, and increase the probability of stochastic effects like cancer for the same absorbed dose; the dose metric called equivalent dose accounts for differences in the type of radiation.

  • 6. Equivalent dose

    • a. Accounts for the biological damage to tissues based upon the consequence of linear energy transfer (LET) deposition of different radiation types through the use of weighting factors, wR (Eq. 11-6).

    • b. Sparsely ionizing low LET radiations (e.g., x-rays, γ-rays, electrons) are assigned wR = 1.

    • c. Densely ionizing high LET radiations (e.g., protons, alpha particles) are assigned wR greater than 1; for example, wR = 20 for alpha particles (See Chapter 3, Pg. 65-66, and Table 3-4 in the textbook).

    • d. The quantity equivalent dose, H, is

    • e. Note: for x-rays, the equivalent dose is numerically equal to the absorbed dose, but they are different quantities—unit of equivalent dose is the sievert (Sv), and unit of absorbed dose is the gray (Gy).

  • 7. Effective dose, E

    • a. Like H, E is a calculated value that is not really a dose in the physical sense. E is a radiation protection term that provides a single value metric for the cumulative long-term potential for harm (detriment) to a population for exposures to different areas of the body.

    • b. Originally proposed for assessment of environmental and industrial exposure to radiation workers.

    • c. Organs that do not receive dose do not contribute to E.

    • d. Incorporates an approximation of organ sensitivities and assigns a tissue weighting factor, wT.

      • (i) For uniform whole-body irradiation, the total tissue weighting is 1.0—thus, the individual organ wT sum to 1.0.

      • (ii) A proportion of the total is the wT of the organs, assigned according to organ-tissue sensitivity, (mostly radiogenic cancer).

      • (iii) wT ranges from 0.01 for radioresistant tissues to 0.12 for sensitive tissues (Table 11-1).

    • e. Quantifying effective dose, E, is a two-step process.

      • (i) Organ absorbed dose, D (Gy), is converted to organ equivalent dose, HT (Sv), using Equation 11-6.

      • (ii) The effective dose E (units of Sv) is calculated using Equation 11-7 for all organs irradiated T, as the sum over T of the product of wT and the corresponding organ equivalent dose HT as:

    • f. Strengths of effective dose, E

      • (i) E takes into consideration partial body exposure.

      • (ii) E provides a method to include doses from radiopharmaceuticals (see Chapter 16).

      • (iii) E provides a single value metric for the long-term potential for harm (detriment) to a population for multiple exposures to different areas of the body.

      • (iv) E can be used to make numerical comparisons to radiation doses associated with medical imaging procedures in a more understandable context for patients and healthcare workers—for example, comparison of annual background radiation of 3.1 mSv at sea level to a head CT effective dose of 2.5 mSv.

    • g. Weaknesses of effective dose

      • (i) As defined by the ICRP, E was never meant and should not be used as a risk-related metric for a specific person or population that differs from the population used to define the weighting factors. Unfortunately, all too often, E has been popularized as a quantitative measure of individual future cancer risk, a use for which it was never intended.

      • (ii) As a risk metric, E does not take into consideration patient-specific factors such as health status, clinical indication, patient sex, patient age—all factors that must be considered when evaluating potential risks against the benefits of a particular imaging procedure,

    • h. E is useful in comparing imaging modality doses (e.g., CT versus radiography) to the same patient population.


  • 1. X-ray system radiation output levels

    • a. Measurable normalized values of radiation output (Fig. 11-9).

    • b. Information is typically provided by annual testing of radiographic equipment.

    • c. Air kerma (mGy) per 100 mAs at 100 cm as a function of x-ray tube kV (and any added filtration).

  • 2. Computing the patient ESAK—(Eqs. 11-8, 11-9 and 11-10)

    • a. Distance: source to skin distance (SSD) and source to image distance (SID) (Fig. 11-10)

    • b. Inverse square law: relates measured x-ray tube output air kerma at 100 cm to x SSD (cm)

    • c. Tube current-time product (mAs): relates mAs used for the examination, x, to 100 mAs measured output

    • d. Determine air kerma from output curve graph (Fig. 11-9) for the kV used in the examination, AK (kV)

    • e. Calculate the ESAK as the product of C1, C2, and AK (kV)

  • 3. Estimating effective dose

    • a. Tabular data are available for computing organ doses and effective doses from ESAK for specific examinations.

      • (i) See textbook, Page 425, Table 11-3: Effective dose per entrance surface dose (mSv/mGy) conversion factors for various kV, filters, and radiographic projections

    • b. Digital radiography systems provide kerma area product (KAP) measurements directly; this metric is often called dose area product (DAP)

      • (i) The KAP, sometimes indicated as PKA, is equal to the product of the cross-sectional area of the x-ray beam and air kerma exiting collimator and provides a dose metric that is constant with distance.

      • (ii) Air kerma at a specific distance can be determined by indicated KAP divided by the beam area projected at that distance (e.g., onto the patient at the SSD).

      • (iii) Total energy imparted to the patient is proportional to KAP and also to effective dose.

      • (iv) Monte Carlo routines for projection radiography can be used to estimate effective dose for specific projections by knowing the acquisition technique factors (kV, mAs, tube filtration/half-value layer, field area projected onto the anthropomorphic phantom).

      • (v) A graphic relationship of KAP to effective dose conversion factor can be determined as the slope of the linear regression fit of data points for different patients (Fig. 11-11).


  • 1. Considerations relative to radiography

    • a. Acquisitions vary over an extended time, with variations in tube current.

    • b. Geometrically, fluoroscopy changes with interactive movements for patient repositioning.

    • c. Several magnification modes can be selected that change air kerma rate and FOV.

    • d. The operator can change the beam projection angle throughout the procedure.

    • e. SID often changes throughout the procedure with table height and detector adjustments.

    • f. FOV collimation can be circular, square, or rectangular.

    • g. kV and filtration are interactive, dependent on fluoro mode used (e.g., low, medium, high dose).

  • 2. Automatic exposure (air kerma) rate control (AERC)

    • a. AERC adjusts the kV and mA to achieve an acceptable image as needed by the examination.

    • b. Adjustments include selection of low dose, medium dose, or high contrast as required.

    • c. Measurements in the field with various attenuator thicknesses can validate operation (Fig. 11-12).

  • 3. Estimates of radiation dose in fluoroscopy

    • a. Integrated air kerma at the reference point, Ka,r, and kerma-area product (KAP or PKA) are required.

      • (i) For interventional systems, Ka,r is 15 cm closer to the x-ray tube from the isocenter of rotation.

      • (ii) For mobile C-arm fluoroscopy units, Ka,r is determined 30 cm from the detector entrance surface.

    • b. DICOM Radiation Dose Structured Report (RDSR) provides a recording of each irradiation event with all x-ray output parameters, collimation, geometric orientation, and operation mode.

    • c. The cumulative Ka,r is a surrogate for estimating peak skin dose for possible tissue reactions and injuries.

      • (i) Dose to the skin can be estimated from Ka,r and distance, d, to the reference point from the focal spot to the skin, SSD, by inverse square correction, the backscatter factor (BSF) that ranges from 1.1 to 1.5 dependent on field size and patient thickness, and tissue-to-air ratio of approximately 1.09 in Equation 11-5 above.

      • (ii) Estimates of peak skin dose (PSD) or Dskin use Ka,r data and beam geometry/orientation from the RDSR data and BSF (Eq. 11-11), as well as attenuation of the table/pad as described in Chapter 9

      • (iii) A sentinel event as defined by The Joint Commission is an acute PSD of 15,000 mGy (15 Gy) or consecutive studies that exceed 15,000 mGy when summed over a 6-month period.

      • (iv) “Procedural pause” occurs when Ka,r reaches predetermined limits (e.g., 5,000 mGy, 7,000 mGy, etc.) to identify next steps and as a reminder to spread dose over a large area of the body.

    • d. The KAP (PKA) allows the determination of energy imparted to the patient and can be used with conversion factors to estimate effective dose (and thereby an estimate of risk) for the fluoro examination

      • (i) Methods are similar to those described above in Section 11.5.3.b.

      • (ii) Conversion factors with units of mSv/mGy-cm2 for various procedures are available in the literature.


The computed tomography dose index (CTDI) is a metric that considers the unique characteristics of CT, including no well-defined entrant surface, rotation about an isocenter, spatial dependence of beam-shaping filters, and acquisition parameters that impact the delivered dose to the patient. CTDI is not patient dose and does not consider the size of the patient. It does, however, represent a measure of the radiation output of the CT scanner.

Apr 18, 2023 | Posted by in GENERAL RADIOLOGY | Comments Off on X-Ray Dosimetry in Projection Imaging and Computed Tomography

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