Technical Note: spektr 3.0—A computational tool for x‐ray spectrum modeling and analysis. Issue 8 (21st July 2016)

• Record Type: Journal Article
• Authors: Punnoose, J.; Xu, J.; Sisniega, A.; Zbijewski, W.; Siewerdsen, J. H.
• Is Part Of: Medical physics. Volume 42:Issue 8(2015)Part 1
• Page Start: 4711
• Page End: 4717
• Publication Date: 2016-07-21
• Subjects: diagnostic radiography -- medical computing -- optimisation -- user interfaces -- X‐ray spectra; Radiography; Biological material, e.g. blood, urine; Haemocytometers -- Digital computing or data processing equipment or methods, specially adapted for specific applications; x‐ray spectrum -- spectral modeling -- radiation dose -- spektr -- TASMIP -- TASMICS; X‐ray spectra -- Vacuum tubes -- Anodes -- X‐ray imaging -- Polynomials -- Spectral properties -- Image reconstruction -- Tungsten -- Photons -- Spectrum analysis; Medical physics -- Periodicals; Medical physics; Geneeskunde; Natuurkunde; Toepassingen; Biophysics; Periodicals; Periodicals; Electronic journals; 610.153
• DOI: 10.1118/1.4955438
• Languages: English
• ISSNs: 0094-2405

Abstract

Abstract : Purpose: A computational toolkit (spektr 3.0) has been developed to calculate x‐ray spectra based on the tungsten anode spectral model using interpolating cubic splines (TASMICS) algorithm, updating previous work based on the tungsten anode spectral model using interpolating polynomials (TASMIP) spectral model. The toolkit includes amatlab (The Mathworks, Natick, MA) function library and improved user interface (UI) along with an optimization algorithm to match calculated beam quality with measurements. Methods: Thespektr code generates x‐ray spectra (photons/mm 2 /mAs at 100 cm from the source) using TASMICS as default (with TASMIP as an option) in 1 keV energy bins over beam energies 20–150 kV, extensible to 640 kV using the TASMICS spectra. An optimization tool was implemented to compute the added filtration (Al and W) that provides a best match between calculated and measured x‐ray tube output (mGy/mAs or mR/mAs) for individual x‐ray tubes that may differ from that assumed in TASMICS or TASMIP and to account for factors such as anode angle. Results: The median percent difference in photon counts for a TASMICS and TASMIP spectrum was 4.15% for tube potentials in the range 30–140 kV with the largest percentage difference arising in the low and high energy bins due to measurement errors in the empirically based TASMIP model and inaccurate polynomial fitting. The optimization tool reported a close agreement between measured and calculated spectra with a Pearson coefficient of 0.98. Conclusions: The computational toolkit, spektr, has been updated to version 3.0, validated against measurements and existing models, and made available as open source code. Video tutorials for thespektr function library, UI, and optimization tool are available.