Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Digital filtering of bone scans: an ROC study
Göteborgs universitet.
1997 (English)In: Nuclear medicine communications, ISSN 0143-3636, E-ISSN 1473-5628, Vol. 18, no 2, p. 98-104Article in journal (Refereed) Published
Abstract [en]

The aims of this study were to investigate if digital filtering can increase the sensitivity and specificity of bone scans, and to find the type of filter most suitable for bone images at various count levels. We also wished to examine if filtering allows the administered activity or the examination time to be reduced, and if it is easier to detect low-contrast uptake using a digital filter. Images containing a total of 100, 350 and 1000 kcounts were acquired in a 256 x 256 matrix using a transmission phantom simulating the thoracolumbar region. Receiver operating characteristic (ROC) analysis demonstrated that digital filtering increases the sensitivity and specificity of bone scintigraphy. A low-pass filter for images with low statistics (100 kcounts), which contain 2-5 counts per pixel in the ribs and vertebrae respectively, and a Metz filter for images with normal (5-19 counts per pixel) to good (20-54 counts per pixel) statistics, increase the area under the ROC curve significantly (99% confidence level) compared to unfiltered images. Filtering also increases the detectability of low-contrast objects compared with unfiltered images. Digital filtering might be an alternative to raising the number of counts in the image. An alternative is to reduce the administered activity and hence the effective dose to the patient, or to reduce the examination time-which is an advantage when treating elderly patients or patients with pain.

Place, publisher, year, edition, pages
1997. Vol. 18, no 2, p. 98-104
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:hj:diva-22711DOI: 10.1097/00006231-199702000-00002PubMedID: 9076763OAI: oai:DiVA.org:hj-22711DiVA, id: diva2:678802
Available from: 2013-12-13 Created: 2013-12-13 Last updated: 2017-12-06Bibliographically approved
In thesis
1. Methos used in quality assurance and optimization in nuclear medicine imaging and imaging systems
Open this publication in new window or tab >>Methos used in quality assurance and optimization in nuclear medicine imaging and imaging systems
2004 (English)Doctoral thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Göteborg: Göteborgs universitet, 2004. p. 66
National Category
Natural Sciences
Identifiers
urn:nbn:se:hj:diva-22715 (URN)91-628-6218-9 (ISBN)
Supervisors
Available from: 2013-12-13 Created: 2013-12-13 Last updated: 2014-03-04Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMed

Authority records

Starck, Sven-Åke

Search in DiVA

By author/editor
Starck, Sven-Åke
In the same journal
Nuclear medicine communications
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 65 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf