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

Direct link
Visualisation of the pattern of contrast enhancement in dynamic breast MRI
The University of Queensland. (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. (Queensland X-Ray)
Greenslopes Private Hospital. (Queensland X-Ray)
Show others and affiliations
2005 (English)In: WDIC 2005: Workshop Proceedings, 2005Conference paper (Refereed)
Abstract [en]

A new pixel-mapping method for visualising contrast uptake in dynamic MR images of the breast 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 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 and significant initial 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 confimed 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
National Category
Computer Vision and Robotics (Autonomous Systems)
URN: urn:nbn:se:uu:diva-76152ISBN: ISBN 0-9580255-3-3OAI: oai:DiVA.org:uu-76152DiVA: diva2:104064
Available from: 2006-02-27 Created: 2006-02-27

Open Access in DiVA

No full text

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
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 140 hits
ReferencesLink to record
Permanent link

Direct link