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Use of Quadrature Filters for Detection of Stellate Lesions in Mammograms
KTH, School of Engineering Sciences (SCI), Physics.
2005 (English)In: IMAGE ANALYSIS, PROCEEDINGS / [ed] Kalviainen, H; Parkkinen, J; Kaarna, A, 2005, Vol. 3540, 649-658 p.Conference paper, Published paper (Refereed)
Abstract [en]

We propose a method for finding stellate lesions in digitized mammograms based on the use of both local phase and local orientation information extracted from quadrature filter outputs. The local phase information allows efficient and fast separation between edges and lines and the local orientation estimates are used to find areas circumscribed by edges and with radiating lines. The method is incorporated in a computer-aided detection system and evaluation by FROG-curve analysis on a data set of 90 mammograms (45 pairs) yields a false positive rate of 0.3 per image at 90% sensitivity.

Place, publisher, year, edition, pages
2005. Vol. 3540, 649-658 p.
Series
LECTURE NOTES IN COMPUTER SCIENCE, ISSN 0302-9743 ; 3540
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-5392ISI: 000230372500066Scopus ID: 2-s2.0-26444606889ISBN: 3-540-26320-9 (print)OAI: oai:DiVA.org:kth-5392DiVA: diva2:9748
Conference
14th Scandinavian Conference on Image Analysis Location: Joensuu, FINLAND Date: JUN 19-22, 2005
Note
QC 20100818Available from: 2006-03-03 Created: 2006-03-03 Last updated: 2011-10-14Bibliographically approved
In thesis
1. Computer-aided detection and novel mammography imaging techniques
Open this publication in new window or tab >>Computer-aided detection and novel mammography imaging techniques
2006 (English)Doctoral thesis, comprehensive summary (Other scientific)
Abstract [en]

This thesis presents techniques constructed to aid the radiologists in detecting breast cancer, the second largest cause of cancer deaths for western women. In the first part of the thesis, a computer-aided detection (CAD) system constructed for the detection of stellate lesions is presented. Different segmentation methods and an attempt to incorporate contra-lateral information are evaluated.

In the second part, a new method for evaluating such CAD systems is presented based on constructing credible regions for the number of false positive marks per image at a certain desired target sensitivity. This method shows that the resulting regions are rather wide and this explains some of the difficulties encountered by other researchers when trying to compare CAD algorithms on different data sets. In this part an attempt to model the clinical use of CAD as a second look is also made and it shows that applying CAD in sequence to the radiologist in a routine manner, without duly altering the decision criterion of the radiologist, might very well result in suboptimal operating points.

Finally, in the third part two dual-energy imaging methods optimized for contrast-enhanced imaging of breast tumors are presented. The first is based on applying an electronic threshold to a photon-counting digital detector to discriminate between high- and low-energy photons. This allows simultaneous acquisition of the high- and low-energy images. The second method is based on the geometry of a scanned multi-slit system and also allows single-shot contrast-enhanced dual-energy mammography by filtering the x-ray beam that reaches different detector lines differently.

Place, publisher, year, edition, pages
Stockholm: KTH, 2006
Series
Trita-FYS, ISSN 0280-316X ; 2006:06
Keyword
computer-aided detection, FROC, mammography, optimal operating points, single-shot dual-energy imaging
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
urn:nbn:se:kth:diva-3861 (URN)91-7178-274-5 (ISBN)
Public defence
2006-03-10, Sal F3, Lindstedtsvägen 26, Stockholm, 10:00
Opponent
Supervisors
Note
QC 20100819Available from: 2006-03-03 Created: 2006-03-03 Last updated: 2010-08-19Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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