Literature DB >> 26835499

Two-dimensional dynamic fluid bowtie attenuators.

James R Hermus1, Timothy P Szczykutowicz2.   

Abstract

Fluence field modulated (FFM) CT allows for improvements in image quality and dose reduction. To date, only one-dimensional modulators have been proposed, as the extension to two-dimensional (2-D) modulation is difficult with solid-metal attenuation-based fluence field modulated designs. This work proposes to use liquid and gas to attenuate the x-ray beam, as unlike solids, these materials can be arranged allowing for 2-D fluence modulation. The thickness of liquid and the pressure for a given path length of gas were determined that provided the same attenuation as 30 cm of soft tissue at 80, 100, 120, and 140 kV. Liquid iodine, zinc chloride, cerium chloride, erbium oxide, iron oxide, and gadolinium chloride were studied. Gaseous xenon, uranium hexafluoride, tungsten hexafluoride, and nickel tetracarbonyl were also studied. Additionally, we performed a proof-of-concept experiment using a 96 cell array in which the liquid thickness in each cell was adjusted manually. Liquid thickness varied as a function of kV and chemical composition, with erbium oxide allowing for the smallest thickness. For the gases, tungsten hexaflouride required the smallest pressure to compensate for 30 cm of soft tissue. The 96 cell iodine attenuator allowed for a reduction in both dynamic range to the detector and scatter-to-primary ratio. For both liquids and gases, when k-edges were located within the diagnostic energy range used for imaging, the mean beam energy exhibited the smallest change with compensation amount. The thickness of liquids and the gas pressure seem logistically implementable within the space constraints of C-arm-based cone beam CT (CBCT) and diagnostic CT systems. The gas pressures also seem logistically implementable within the space and tube loading constraints of CBCT and diagnostic CT systems.

Entities:  

Keywords:  computed tomography; dynamic bowtie filter; fluence field modulated computed tomography

Year:  2016        PMID: 26835499      PMCID: PMC4722851          DOI: 10.1117/1.JMI.3.1.013502

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN: 2329-4302


  11 in total

1.  Fluence field optimization for noise and dose objectives in CT.

Authors:  Steven Bartolac; Sean Graham; Jeff Siewerdsen; David Jaffray
Journal:  Med Phys       Date:  2011-07       Impact factor: 4.071

2.  Spektr: a computational tool for x-ray spectral analysis and imaging system optimization.

Authors:  J H Siewerdsen; A M Waese; D J Moseley; S Richard; D A Jaffray
Journal:  Med Phys       Date:  2004-11       Impact factor: 4.071

3.  Region-of-interest image reconstruction with intensity weighting in circular cone-beam CT for image-guided radiation therapy.

Authors:  Seungryong Cho; Erik Pearson; Charles A Pelizzari; Xiaochuan Pan
Journal:  Med Phys       Date:  2009-04       Impact factor: 4.071

4.  Design of a digital beam attenuation system for computed tomography: part I. System design and simulation framework.

Authors:  Timothy P Szczykutowicz; Charles A Mistretta
Journal:  Med Phys       Date:  2013-02       Impact factor: 4.071

5.  The feasibility of a piecewise-linear dynamic bowtie filter.

Authors:  Scott S Hsieh; Norbert J Pelc
Journal:  Med Phys       Date:  2013-03       Impact factor: 4.071

6.  Xenon ionization detectors for fan beam computed tomography scanners.

Authors:  M Yaffe; A Fenster; H E Johns
Journal:  J Comput Assist Tomogr       Date:  1977-10       Impact factor: 1.826

7.  Design of a digital beam attenuation system for computed tomography. Part II. Performance study and initial results.

Authors:  Timothy P Szczykutowicz; Charles A Mistretta
Journal:  Med Phys       Date:  2013-02       Impact factor: 4.071

8.  Experimental realization of fluence field modulated CT using digital beam attenuation.

Authors:  T P Szczykutowicz; C A Mistretta
Journal:  Phys Med Biol       Date:  2014-02-20       Impact factor: 3.609

9.  Compensators for dose and scatter management in cone-beam computed tomography.

Authors:  S A Graham; D J Moseley; J H Siewerdsen; D A Jaffray
Journal:  Med Phys       Date:  2007-07       Impact factor: 4.071

10.  Dynamic bowtie filter for cone-beam/multi-slice CT.

Authors:  Fenglin Liu; Qingsong Yang; Wenxiang Cong; Ge Wang
Journal:  PLoS One       Date:  2014-07-22       Impact factor: 3.240

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  1 in total

1.  Dynamic fluence field modulation in computed tomography using multiple aperture devices.

Authors:  Grace J Gang; Andrew Mao; Wenying Wang; Jeffrey H Siewerdsen; Aswin Mathews; Satomi Kawamoto; Reuven Levinson; J Webster Stayman
Journal:  Phys Med Biol       Date:  2019-05-21       Impact factor: 3.609

  1 in total

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