Tissue weighting factors for radiation protection : derivation and parametric analysis Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/rb68xh059

Descriptions

Attribute NameValues
Creator
Abstract or Summary
  • Tissue weighting factors, w[subscript T], used to convert equivalent dose to effective dose, account for differences in radiosensitivity of various organs in the human body and allow users to compare individual organ detriment to whole body risk. They are explicitly calculated in ICRP 26, 60, and 103, although the methods of calculation, as well as the weighting factors themselves, vary greatly between reports. The ICRP 26 report bases its weighting factors solely on fatal cancer risk for eleven organs, whereas ICRP 60 and 103 use detriment (with unique definitions in each report) to calculate the tissue weighting factors for twenty‐two and twenty‐eight organs, respectively. Each new report introduces levels of uncertainty into the calculation of w[subscript T], which ultimately may reduce the significance of individual weighting factors. A review of the three calculational methods used in ICRP 26, 60, and 103 is covered, as well as an examination of the uncertainties introduced by each weighting factor parameter utilized in ICRP 103 and the total uncertainties of the various w[subscript T] values. Finally, the effective dose is calculated for several exposure scenarios using the ICRP 26 and 60 methodologies for comparison to ICRP 103 effective dose calculation and uncertainties thereof.
Resource Type
Date Available
Date Copyright
Date Issued
Degree Level
Degree Name
Degree Field
Degree Grantor
Commencement Year
Advisor
Committee Member
Academic Affiliation
Non-Academic Affiliation
Keyword
Subject
Rights Statement
Language
Replaces
Additional Information
  • description.provenance : Made available in DSpace on 2009-07-22T23:24:31Z (GMT). No. of bitstreams: 1 MakinsonThesis.pdf: 1471801 bytes, checksum: e15f9908d1f7d44092a3d646bf36e49d (MD5)
  • description.provenance : Submitted by Kevin Makinson (makinske@onid.orst.edu) on 2009-07-07T20:21:12Z No. of bitstreams: 1 MakinsonThesis.pdf: 1471801 bytes, checksum: e15f9908d1f7d44092a3d646bf36e49d (MD5)
  • description.provenance : Approved for entry into archive by Julie Kurtz(julie.kurtz@oregonstate.edu) on 2009-07-21T17:20:45Z (GMT) No. of bitstreams: 1 MakinsonThesis.pdf: 1471801 bytes, checksum: e15f9908d1f7d44092a3d646bf36e49d (MD5)
  • description.provenance : Approved for entry into archive by Laura Wilson(laura.wilson@oregonstate.edu) on 2009-07-22T23:24:31Z (GMT) No. of bitstreams: 1 MakinsonThesis.pdf: 1471801 bytes, checksum: e15f9908d1f7d44092a3d646bf36e49d (MD5)

Relationships

In Administrative Set:
Last modified: 10/20/2017

Downloadable Content

Download PDF
Citations:

EndNote | Zotero | Mendeley

Items