Literature DB >> 9434969

Molybdenum, rhodium, and tungsten anode spectral models using interpolating polynomials with application to mammography.

J M Boone1, T R Fewell, R J Jennings.   

Abstract

Computer simulation is a convenient and frequently used tool in the study of x-ray mammography, for the design of novel detector systems, the evaluation of dose deposition, x-ray technique optimization, and other applications. An important component in the simulation process is the accurate computer-generation of x-ray spectra. A computer model for the generation of x-ray spectra in the mammographic energy range from 18 kV to 40 kV has been developed. The proposed model requires no assumptions concerning the physics of x-ray production in an x-ray tube, but rather makes use of x-ray spectra recently measured experimentally in the laboratories of the Center for Devices and Radiological Health. Using x-ray spectra measured for molybdenum, rhodium, and tungsten anode x-ray tubes at 13 different kV's (18, 20, 22, ..., 42 kV), a spectral model using interpolating polynomials was developed. At each energy in the spectrum, the x-ray photon fluence was fit using 2, 3, or 4 term (depending on the energy) polynomials as a function of the applied tube voltage (kV). Using the polynomial fit coefficients determined at each 0.5 keV interval in the x-ray spectrum, accurate x-ray spectra can be generated for any arbitrary kV between 18 and 40 kV. Each anode material (Mo, Rh, W) uses a different set of polynomial coefficients. The molybdenum anode spectral model using interpolating polynomials is given the acronym MASMIP, and the rhodium and tungsten spectral models are called RASMIP and TASMIP, respectively. It is shown that the mean differences in photon fluence calculated over the energy channels and over the kV range from 20 to 40 kV were -0.073% (sigma = 1.58%) for MASMIP, -0.145% (sigma = 1.263%) for RASMIP, and 0.611% (sigma = 2.07%) for TASMIP. The polynomial coefficients for all three models are given in an Appendix. A short C subroutine which uses the polynomial coefficients and generates x-ray spectra based on the proposed model is available on the World Wide Web at http:/(/)www.aip.org/epaps/epaps.html.

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Year:  1997        PMID: 9434969     DOI: 10.1118/1.598100

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  64 in total

1.  Full breast digital mammography with an amorphous silicon-based flat panel detector: physical characteristics of a clinical prototype.

Authors:  S Vedantham; A Karellas; S Suryanarayanan; D Albagli; S Han; E J Tkaczyk; C E Landberg; B Opsahl-Ong; P R Granfors; I Levis; C J D'Orsi; R E Hendrick
Journal:  Med Phys       Date:  2000-03       Impact factor: 4.071

2.  A software-based x-ray scatter correction method for breast tomosynthesis.

Authors:  Steve Si Jia Feng; Ioannis Sechopoulos
Journal:  Med Phys       Date:  2011-12       Impact factor: 4.071

3.  The quantitative potential for breast tomosynthesis imaging.

Authors:  Christina M Shafer; Ehsan Samei; Joseph Y Lo
Journal:  Med Phys       Date:  2010-03       Impact factor: 4.071

4.  A technique optimization protocol and the potential for dose reduction in digital mammography.

Authors:  Nicole T Ranger; Joseph Y Lo; Ehsan Samei
Journal:  Med Phys       Date:  2010-03       Impact factor: 4.071

5.  Dosimetric assessment of the exposure of radiotherapy patients due to cone-beam CT procedures.

Authors:  Mariana Baptista; Salvatore Di Maria; Sandra Vieira; Joana Santos; Joana Pereira; Miguel Pereira; Pedro Vaz
Journal:  Radiat Environ Biophys       Date:  2018-11-03       Impact factor: 1.925

6.  Computation of the glandular radiation dose in digital tomosynthesis of the breast.

Authors:  Ioannis Sechopoulos; Sankararaman Suryanarayanan; Srinivasan Vedantham; Carl D'Orsi; Andrew Karellas
Journal:  Med Phys       Date:  2007-01       Impact factor: 4.071

7.  Initial clinical experience with contrast-enhanced digital breast tomosynthesis.

Authors:  Sara C Chen; Ann-Katherine Carton; Michael Albert; Emily F Conant; Mitchell D Schnall; Andrew D A Maidment
Journal:  Acad Radiol       Date:  2007-02       Impact factor: 3.173

8.  Scatter radiation in digital tomosynthesis of the breast.

Authors:  Ioannis Sechopoulos; Sankararaman Suryanarayanan; Srinivasan Vedantham; Carl J D'Orsi; Andrew Karellas
Journal:  Med Phys       Date:  2007-02       Impact factor: 4.071

9.  Radiation dose to organs and tissues from mammography: Monte Carlo and phantom study.

Authors:  Ioannis Sechopoulos; Sankararaman Suryanarayanan; Srinivasan Vedantham; Carl J D'Orsi; Andrew Karellas
Journal:  Radiology       Date:  2007-12-04       Impact factor: 11.105

10.  Visibility of microcalcification in cone beam breast CT: effects of X-ray tube voltage and radiation dose.

Authors:  Chao-Jen Lai; Chris C Shaw; Lingyun Chen; Mustafa C Altunbas; Xinming Liu; Tao Han; Tianpeng Wang; Wei T Yang; Gary J Whitman; Shu-Ju Tu
Journal:  Med Phys       Date:  2007-07       Impact factor: 4.071

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