Ion stopping powers and CT numbers.

One of the advantages of ion beam therapy is the steep dose gradient produced near the ion's range. Use of this advantage makes knowledge of the stopping powers for all materials through which the beam passes critical. Most treatment planning systems calculate dose distributions using depth dose data measured in water and an algorithm that converts the kilovoltage X-ray computed tomography (CT) number of a given material to its linear stopping power relative to water. Some materials present in kilovoltage scans of patients and simulation phantoms do not lie on the standard tissue conversion curve. The relative linear stopping powers (RLSPs) of 21 different tissue substitutes and positioning, registration, immobilization, and beamline materials were measured in beams of protons accelerated to energies of 155, 200, and 250 MeV; carbon ions accelerated to 290 MeV/n; and iron ions accelerated to 970 MeV/n. These same materials were scanned with both kilovoltage and megavoltage CT scanners to obtain their CT numbers. Measured RLSPs and CT numbers were compared with calculated and/or literature values. Relationships of RLSPs to physical densities, electronic densities, kilovoltage CT numbers, megavoltage CT numbers, and water equivalence values converted by a treatment planning system are given. Usage of CT numbers and substitution of measured values into treatment plans to provide accurate patient and phantom simulations are discussed.

[1]  R. P. Parker,et al.  The direct use of CT numbers in radiotherapy dosage calculations for inhomogeneous media. , 1979 .

[2]  Robert Jeraj,et al.  Radiation characteristics of helical tomotherapy. , 2004, Medical physics.

[3]  J. H. Hubbell,et al.  XCOM: Photon cross sections on a personal computer , 1987 .

[4]  W Swindell,et al.  A 4-MV CT scanner for radiation therapy: the prototype system. , 1982, Medical physics.

[5]  London,et al.  Biochemistry of the Eye , 1971 .

[6]  S. C. Prasad,et al.  Clinical electron-beam dosimetry: report of AAPM Radiation Therapy Committee Task Group No. 25. , 1991, Medical physics.

[7]  E Pedroni,et al.  The precision of proton range calculations in proton radiotherapy treatment planning: experimental verification of the relation between CT-HU and proton stopping power. , 1998, Physics in medicine and biology.

[8]  R Mohan,et al.  The role of uncertainty analysis in treatment planning. , 1991, International journal of radiation oncology, biology, physics.

[9]  J. Fowler,et al.  Nuclear Particles in Cancer Treatment , 1981 .

[10]  C Coolens,et al.  Calibration of CT Hounsfield units for radiotherapy treatment planning of patients with metallic hip prostheses: the use of the extended CT-scale. , 2003, Physics in medicine and biology.

[11]  J J Battista,et al.  Computed tomography for radiotherapy planning. , 1980, International journal of radiation oncology, biology, physics.

[12]  E C McCullough,et al.  The use of CT scanners in megavoltage photon-beam therapy planning. , 1977, Radiology.

[13]  D. R. White,et al.  The composition of body tissues. , 1986, The British journal of radiology.

[14]  John E. Scott The chemical morphology of the vitreous , 1992, Eye.

[15]  Joseph F. Janni,et al.  Energy loss, range, path length, time-of-flight, straggling, multiple scattering, and nuclear interaction probability , 1982 .

[16]  Takeshi Hiraoka,et al.  Energy loss of 70 MeV protons in elements , 1992 .

[17]  P. Kijewski,et al.  THE USE OF COMPUTED TOMOGRAPHY DATA FOR RADIOTHERAPY DOSE CALCULATIONS , 1978, International journal of radiation oncology, biology, physics.

[18]  G. Chen,et al.  Treatment planning for heavy ion radiotherapy. , 1979, International journal of radiation oncology, biology, physics.

[19]  M. E. Masterson,et al.  Epoxy-resin-based tissue substitutes. , 1977, Medical physics.

[20]  H. Bichsel,et al.  Aspects of Fast-Ion Dosimetry , 2000, Radiation research.

[21]  J. Smathers,et al.  The Modern Technology of Radiation Oncology: A Compendium for Medical Physicists and Radiation Oncologists , 1999 .

[22]  D F Jackson,et al.  The relation between X-ray CT numbers and charged particle stopping powers and its significance for radiotherapy treatment planning. , 1983, Physics in medicine and biology.

[23]  L A DeWerd,et al.  An electron density calibration phantom for CT-based treatment planning computers. , 1992, Medical physics.

[24]  A Ghebremedhin,et al.  Microdosimetry spectra of the Loma Linda proton beam and relative biological effectiveness comparisons. , 1997, Medical physics.

[25]  Herwig G. Paretzke,et al.  Electron inelastic-scattering cross sections in liquid water , 1999 .

[26]  M. Bronskill,et al.  Compton scatter imaging of transverse sections: corrections for multiple scatter and attenuation. , 1977, Physics in medicine and biology.

[27]  E. Pedroni,et al.  The calibration of CT Hounsfield units for radiotherapy treatment planning. , 1996, Physics in medicine and biology.

[28]  G. Coutrakon,et al.  Calibration of a proton beam energy monitor. , 2007, Medical physics.

[29]  Y. Watanabe Derivation of linear attenuation coefficients from CT numbers for low-energy photons. , 1999, Physics in medicine and biology.

[30]  O Jäkel,et al.  Treatment planning for heavy-ion radiotherapy: physical beam model and dose optimization. , 2000, Physics in medicine and biology.

[31]  N. Jaffe The vitreous in clinical ophthalmology , 1969 .

[32]  J F Ziegler,et al.  Comments on ICRU report no. 49: stopping powers and ranges for protons and alpha particles. , 1999, Radiation research.

[33]  C. Cann,et al.  Quantitative CT applications: comparison of current scanners. , 1987, Radiology.