Literature DB >> 18203941

CT dosimetry: comparison of measurement techniques and devices.

John A Bauhs1, Thomas J Vrieze, Andrew N Primak, Michael R Bruesewitz, Cynthia H McCollough.   

Abstract

In x-ray computed tomography (CT), the most common parameter used to estimate and minimize patient dose is the CT dose index (CTDI). The CTDI is a volume-averaged measure that is used in situations where the table is incremented in conjunction with the tube rotation. Variants of the CTDI correct for averaging across the field of view and for adjacent beam overlaps or gaps. CTDI is usually measured with a pencil-shaped ionization chamber, although methods have been developed that use alternative detectors, including an optically stimulated luminescence probe and a solid-state real-time dosimeter. Because the CTDI represents an averaged dose to a homogeneous cylindrical phantom, the measurements are only an approximation of the patient dose. Furthermore, dose from interventional or perfusion CT, in which the table remains stationary between multiple scans, is best evaluated with point dose measurements made with small detectors. CTDI and point dose values are nearly the same for measurement of surface dose from spiral CT. However, for measurement of surface dose from perfusion CT, the dose is overestimated by a factor of two or more with CTDI values in comparison with point dose values. Both CTDI and point dose measurement are valuable for evaluating CT scanner output and estimating patient dose.

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Year:  2008        PMID: 18203941     DOI: 10.1148/rg.281075024

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  55 in total

1.  Cone beam CT dosimetry: a unified and self-consistent approach including all scan modalities--with or without phantom motion.

Authors:  Robert L Dixon; John M Boone
Journal:  Med Phys       Date:  2010-06       Impact factor: 4.071

2.  Radiation dose reduction in computed tomography: techniques and future perspective.

Authors:  Lifeng Yu; Xin Liu; Shuai Leng; James M Kofler; Juan C Ramirez-Giraldo; Mingliang Qu; Jodie Christner; Joel G Fletcher; Cynthia H McCollough
Journal:  Imaging Med       Date:  2009-10

3.  Optimization of beam quality for photon-counting spectral computed tomography in head imaging: simulation study.

Authors:  Han Chen; Cheng Xu; Mats Persson; Mats Danielsson
Journal:  J Med Imaging (Bellingham)       Date:  2015-11-06

4.  Experimental estimates of peak skin dose and its relationship to the CT dose index using the CTDI head phantom.

Authors:  Hugo de las Heras; Ronaldo Minniti; Sean Wilson; Chad Mitchell; Marlene Skopec; Claudia C Brunner; Kish Chakrabarti
Journal:  Radiat Prot Dosimetry       Date:  2013-07-16       Impact factor: 0.972

5.  Time-resolved computed tomography of the liver: retrospective, multi-phase image reconstruction derived from volumetric perfusion imaging.

Authors:  Michael A Fischer; Bertil Leidner; Nikolaos Kartalis; Anders Svensson; Peter Aspelin; Nils Albiin; Torkel B Brismar
Journal:  Eur Radiol       Date:  2013-08-31       Impact factor: 5.315

6.  Estimating peak skin and eye lens dose from neuroperfusion examinations: use of Monte Carlo based simulations and comparisons to CTDIvol, AAPM Report No. 111, and ImPACT dosimetry tool values.

Authors:  Di Zhang; Chris H Cagnon; J Pablo Villablanca; Cynthia H McCollough; Dianna D Cody; Maria Zankl; John J Demarco; Michael F McNitt-Gray
Journal:  Med Phys       Date:  2013-09       Impact factor: 4.071

7.  Perfusion computed tomography for detection of hepatocellular carcinoma in patients with liver cirrhosis.

Authors:  Michael A Fischer; Nikolaos Kartalis; Aristeidis Grigoriadis; Louiza Loizou; Per Stål; Bertil Leidner; Peter Aspelin; Torkel B Brismar
Journal:  Eur Radiol       Date:  2015-04-23       Impact factor: 5.315

8.  Lens exposure during brain scans using multidetector row CT scanners: methods for estimation of lens dose.

Authors:  S Suzuki; S Furui; T Ishitake; T Abe; H Machida; R Takei; K Ibukuro; A Watanabe; T Kidouchi; Y Nakano
Journal:  AJNR Am J Neuroradiol       Date:  2009-12-31       Impact factor: 3.825

9.  Renal perfusion and hemodynamics: accurate in vivo determination at CT with a 10-fold decrease in radiation dose and HYPR noise reduction.

Authors:  Xin Liu; Andrew N Primak; James D Krier; Lifeng Yu; Lilach O Lerman; Cynthia H McCollough
Journal:  Radiology       Date:  2009-10       Impact factor: 11.105

10.  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

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