uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • 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
Dynamic breast MRI visualised through colour mapping
The University of Queensland, Brisbane, Australia. (Centre for Sensor Signal and Information Processing)
Uppsala University, Interfaculty Units, Centre for Image Analysis. Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
Greenslopes Private Hospital, Brisbane, Australia. (Queensland X-ray)
Greenslopes Private Hospital, Brisbane, Australia. (Queensland X-ray)
Show others and affiliations
2005 (English)In: Proceedings SSBA 2005, 2005, 9-12 p.Conference paper, Published paper (Other scientific)
Abstract [en]

The pattern of change of signal intensity over time in contrast enhanced MR images of the breast is a useful indicator of malignancy. In this paper a new pixel mapping method for visualising the time course of the contrast uptake is presented. The method reduces the sequence of images of a single spatial slice over time to a single colour-coded image. This is achieved by fitting a linear-slope model pixel-wise to the slice time series and using the fitted parameters to define modified HSV colour space coordinates. The model parameters are related to the shape of the signal intensity-time curve at each pixel. The effect is that pixels with rapid uptake and significant postcontrast enhancement appear brighter and more saturated, whilst the nature and degree of intermediate and late postcontrast enhancement is reflected in the colour hue. Preliminary results are reported for six subjects with suspicious MRI findings subsequently confirmed by pathology. The results suggest that the method shows promise as a replacement for, or adjunct to, the review of the raw time series data and/or associated difference images in the clinical setting.

Place, publisher, year, edition, pages
2005. 9-12 p.
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:uu:diva-76146OAI: oai:DiVA.org:uu-76146DiVA: diva2:104058
Available from: 2006-02-27 Created: 2006-02-27 Last updated: 2017-02-08

Open Access in DiVA

No full text

Authority records BETA

Bengtsson, Ewert

Search in DiVA

By author/editor
Bengtsson, Ewert
By organisation
Centre for Image AnalysisComputerized Image Analysis
Computer Vision and Robotics (Autonomous Systems)

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 516 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • 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