Literature DB >> 23387753

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

Timothy P Szczykutowicz1, Charles A Mistretta.   

Abstract

PURPOSE: The purpose of this work is to introduce a new device that allows for patient-specific imaging-dose modulation in conventional and cone-beam CT. The device is called a digital beam attenuator (DBA). The DBA modulates an x-ray beam by varying the attenuation of a set of attenuating wedge filters across the fan angle. The ability to modulate the imaging dose across the fan beam represents another stride in the direction of personalized medicine. With the DBA, imaging dose can be tailored for a given patient anatomy, or even tailored to provide signal-to-noise ratio enhancement within a region of interest. This modulation enables decreases in: dose, scatter, detector dynamic range requirements, and noise nonuniformities. In addition to introducing the DBA, the simulation framework used to study the DBA under different configurations is presented. Finally, a detailed study on the choice of the material used to build the DBA is presented.
METHODS: To change the attenuator thickness, the authors propose to use an overlapping wedge design. In this design, for each wedge pair, one wedge is held stationary and another wedge is moved over the stationary wedge. The composite thickness of the two wedges changes as a function of the amount of overlap between the wedges. To validate the DBA concept and study design changes, a simulation environment was constructed. The environment allows for changes to system geometry, different source spectra, DBA wedge design modifications, and supports both voxelized and analytic phantom models. A study of all the elements from atomic number 1 to 92 were evaluated for use as DBA filter material. The amount of dynamic range and tube loading for each element were calculated for various DBA designs. Tube loading was calculated by comparing the attenuation of the DBA at its minimum attenuation position to a filtered non-DBA acquisition.
RESULTS: The design and parametrization of DBA implemented FFMCT has been introduced. A simulation framework was presented with which DBA-FFMCT, bowtie filter CT acquisitions, and unmodulated CT acquisitions can be simulated. The study on wedge filter design concluded that the ideal filter material should have an atomic number in the range of 21-34. Iron was chosen for an experimental relative-tube-loading measurement and showed that DBA-FFMCT scans could be acquired with negligible increases in tube power demands.
CONCLUSIONS: The basic idea of DBA implemented fluence field modulated CT, a simulation framework to verify the concept, and a filter selection study have been presented. The use of a DBA represents another step toward the ultimate in patient specific CT dose delivery as patient dose can be delivered uniquely as a function of view and fan angle using this device.

Entities:  

Mesh:

Year:  2013        PMID: 23387753      PMCID: PMC3562347          DOI: 10.1118/1.4773879

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


  18 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.  Efficient Monte Carlo based scatter artifact reduction in cone-beam micro-CT.

Authors:  Wojciech Zbijewski; Freek J Beekman
Journal:  IEEE Trans Med Imaging       Date:  2006-07       Impact factor: 10.048

3.  Algorithm for X-ray scatter, beam-hardening, and beam profile correction in diagnostic (kilovoltage) and treatment (megavoltage) cone beam CT.

Authors:  Jonathan S Maltz; Bijumon Gangadharan; Supratik Bose; Dimitre H Hristov; Bruce A Faddegon; Ajay Paidi; Ali R Bani-Hashemi
Journal:  IEEE Trans Med Imaging       Date:  2008-12       Impact factor: 10.048

4.  The influence of bowtie filtration on cone-beam CT image quality.

Authors:  N Mail; D J Moseley; J H Siewerdsen; D A Jaffray
Journal:  Med Phys       Date:  2009-01       Impact factor: 4.071

Review 5.  Three-dimensional C-arm cone-beam CT: applications in the interventional suite.

Authors:  Michael J Wallace; Michael D Kuo; Craig Glaiberman; Christoph A Binkert; Robert C Orth; Gilles Soulez
Journal:  J Vasc Interv Radiol       Date:  2008-04-10       Impact factor: 3.464

Review 6.  C-arm flat detector computed tomography: the technique and its applications in interventional neuro-radiology.

Authors:  Mudassar Kamran; Sanjoy Nagaraja; James V Byrne
Journal:  Neuroradiology       Date:  2009-10-27       Impact factor: 2.804

7.  Accelerating Monte Carlo simulations of photon transport in a voxelized geometry using a massively parallel graphics processing unit.

Authors:  Andreu Badal; Aldo Badano
Journal:  Med Phys       Date:  2009-11       Impact factor: 4.071

8.  Computer-assisted scan protocol and reconstruction (CASPAR)-reduction of image noise and patient dose.

Authors:  Jonathan Sperl; Dirk Beque; Bernhard Claus; Bruno De Man; Bob Senzig; Martin Brokate
Journal:  IEEE Trans Med Imaging       Date:  2010-03       Impact factor: 10.048

9.  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

10.  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

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  16 in total

1.  Dynamic fluence field modulation for miscentered patients in computed tomography.

Authors:  Andrew Mao; Grace J Gang; William Shyr; Reuven Levinson; Jeffrey H Siewerdsen; Satomi Kawamoto; J Webster Stayman
Journal:  J Med Imaging (Bellingham)       Date:  2018-10-24

2.  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

3.  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

4.  Dose reduction using a dynamic, piecewise-linear attenuator.

Authors:  Scott S Hsieh; Dominik Fleischmann; Norbert J Pelc
Journal:  Med Phys       Date:  2014-02       Impact factor: 4.071

5.  Control algorithms for dynamic attenuators.

Authors:  Scott S Hsieh; Norbert J Pelc
Journal:  Med Phys       Date:  2014-06       Impact factor: 4.071

6.  Task-Driven Optimization of Fluence Field and Regularization for Model-Based Iterative Reconstruction in Computed Tomography.

Authors:  Grace J Gang; Jeffrey H Siewerdsen; J Webster Stayman
Journal:  IEEE Trans Med Imaging       Date:  2017-10-16       Impact factor: 10.048

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.  The piecewise-linear dynamic attenuator reduces the impact of count rate loss with photon-counting detectors.

Authors:  Scott S Hsieh; Norbert J Pelc
Journal:  Phys Med Biol       Date:  2014-05-13       Impact factor: 3.609

9.  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

10.  A prototype piecewise-linear dynamic attenuator.

Authors:  Scott S Hsieh; Mark V Peng; Christopher A May; Picha Shunhavanich; Dominik Fleischmann; Norbert J Pelc
Journal:  Phys Med Biol       Date:  2016-06-10       Impact factor: 3.609

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