Literature DB >> 26520720

A new technique to characterize CT scanner bow-tie filter attenuation and applications in human cadaver dosimetry simulations.

Xinhua Li1, Jim Q Shi1, Da Zhang1, Sarabjeet Singh1, Atul Padole1, Alexi Otrakji1, Mannudeep K Kalra1, X George Xu2, Bob Liu1.   

Abstract

PURPOSE: To present a noninvasive technique for directly measuring the CT bow-tie filter attenuation with a linear array x-ray detector.
METHODS: A scintillator based x-ray detector of 384 pixels, 307 mm active length, and fast data acquisition (model X-Scan 0.8c4-307, Detection Technology, FI-91100 Ii, Finland) was used to simultaneously detect radiation levels across a scan field-of-view. The sampling time was as short as 0.24 ms. To measure the body bow-tie attenuation on a GE Lightspeed Pro 16 CT scanner, the x-ray tube was parked at the 12 o'clock position, and the detector was centered in the scan field at the isocenter height. Two radiation exposures were made with and without the bow-tie in the beam path. Each readout signal was corrected for the detector background offset and signal-level related nonlinear gain, and the ratio of the two exposures gave the bow-tie attenuation. The results were used in the geant4 based simulations of the point doses measured using six thimble chambers placed in a human cadaver with abdomen/pelvis CT scans at 100 or 120 kV, helical pitch at 1.375, constant or variable tube current, and distinct x-ray tube starting angles.
RESULTS: Absolute attenuation was measured with the body bow-tie scanned at 80-140 kV. For 24 doses measured in six organs of the cadaver, the median or maximum difference between the simulation results and the measurements on the CT scanner was 8.9% or 25.9%, respectively.
CONCLUSIONS: The described method allows fast and accurate bow-tie filter characterization.

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Year:  2015        PMID: 26520720      PMCID: PMC4600088          DOI: 10.1118/1.4932364

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


  16 in total

1.  Correlation between CT numbers and tissue parameters needed for Monte Carlo simulations of clinical dose distributions.

Authors:  W Schneider; T Bortfeld; W Schlegel
Journal:  Phys Med Biol       Date:  2000-02       Impact factor: 3.609

2.  Development and validation of a measurement-based source model for kilovoltage cone-beam CT Monte Carlo dosimetry simulations.

Authors:  Kyle McMillan; Michael McNitt-Gray; Dan Ruan
Journal:  Med Phys       Date:  2013-11       Impact factor: 4.071

3.  Calculations of two new dose metrics proposed by AAPM Task Group 111 using the measurements with standard CT dosimetry phantoms.

Authors:  Xinhua Li; Da Zhang; Bob Liu
Journal:  Med Phys       Date:  2013-08       Impact factor: 4.071

4.  A method to generate equivalent energy spectra and filtration models based on measurement for multidetector CT Monte Carlo dosimetry simulations.

Authors:  Adam C Turner; Di Zhang; Hyun J Kim; John J DeMarco; Chris H Cagnon; Erin Angel; Dianna D Cody; Donna M Stevens; Andrew N Primak; Cynthia H McCollough; Michael F McNitt-Gray
Journal:  Med Phys       Date:  2009-06       Impact factor: 4.071

5.  CT dose index and patient dose: they are not the same thing.

Authors:  Cynthia H McCollough; Shuai Leng; Lifeng Yu; Dianna D Cody; John M Boone; Michael F McNitt-Gray
Journal:  Radiology       Date:  2011-05       Impact factor: 11.105

6.  Method for evaluating bow tie filter angle-dependent attenuation in CT: theory and simulation results.

Authors:  John M Boone
Journal:  Med Phys       Date:  2010-01       Impact factor: 4.071

7.  A practical approach to estimate the weighted CT dose index over an infinite integration length.

Authors:  Xinhua Li; Da Zhang; Bob Liu
Journal:  Phys Med Biol       Date:  2011-08-16       Impact factor: 3.609

8.  Experimental validation of a method characterizing bow tie filters in CT scanners using a real-time dose probe.

Authors:  Sarah E McKenney; Anita Nosratieh; Dale Gelskey; Kai Yang; Shin-Ying Huang; Lin Chen; John M Boone
Journal:  Med Phys       Date:  2011-03       Impact factor: 4.071

9.  Experimental validation of a kilovoltage x-ray source model for computing imaging dose.

Authors:  Yannick Poirier; Alexei Kouznetsov; Brandon Koger; Mauro Tambasco
Journal:  Med Phys       Date:  2014-04       Impact factor: 4.071

Review 10.  Dose in x-ray computed tomography.

Authors:  Willi A Kalender
Journal:  Phys Med Biol       Date:  2014-01-17       Impact factor: 3.609

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  4 in total

1.  A measurement-based generalized source model for Monte Carlo dose simulations of CT scans.

Authors:  Xin Ming; Yuanming Feng; Ransheng Liu; Chengwen Yang; Li Zhou; Hezheng Zhai; Jun Deng
Journal:  Phys Med Biol       Date:  2017-01-12       Impact factor: 3.609

2.  Determination and verification of the x-ray spectrum of a CT scanner.

Authors:  Ahmad Ibrahim Hassan; Martin Skalej; Helmut Schlattl; Christoph Hoeschen
Journal:  J Med Imaging (Bellingham)       Date:  2018-02-07

3.  Direct and fast measurement of CT beam filter profiles with simultaneous geometrical calibration.

Authors:  Kai Yang; Xinhua Li; X George Xu; Bob Liu
Journal:  Med Phys       Date:  2017-01       Impact factor: 4.071

4.  Generation and analysis of clinically relevant breast imaging x-ray spectra.

Authors:  Andrew M Hernandez; J Anthony Seibert; Anita Nosratieh; John M Boone
Journal:  Med Phys       Date:  2017-05-04       Impact factor: 4.071

  4 in total

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