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Contrast-enhanced dual-energy mammography using a scanned multi-slit system: valuation of a differential beam filtering technique
KTH, School of Engineering Sciences (SCI), Physics.
2007 (English)In: Journal of Electronic Imaging (JEI), ISSN 1017-9909, Vol. 16, no 2, 023006- p.Article in journal (Refereed) Published
Abstract [en]

This paper describes a method for single-exposure, contrast-enhanced dual-energy imaging of tumors utilizing a scanned multislit system for digital mammography. This photon-counting system employs an array of silicon strip detectors mounted in an edge-on geometry. The line detectors and pre- and post-collimator slits are carefully aligned, and the multislit setup allows differential filtering of the x-ray beam in the pre-collimator slits. A high-energy image is constructed from those lines where the filter material has been chosen to harden the x-ray beam and the low-energy image from the lines with a filter producing softer beams. Both images are obtained in the same scan, eliminating the need to change tube voltages and anode materials and minimizing the risk of motion artifacts. The method is illustrated on a purpose-built phantom, and logarithmic subtraction of the images produces images essentially free of anatomical clutter with the contrast-enhanced targets clearly visible.

Place, publisher, year, edition, pages
2007. Vol. 16, no 2, 023006- p.
National Category
Physical Sciences
URN: urn:nbn:se:kth:diva-5396DOI: 10.1117/1.2727497ISI: 000250739700007ScopusID: 2-s2.0-34548062288OAI: diva2:9752
Conference on Medical Imaging - Physics of Medical Imaging Location: San Diego, CA Date: FEB, 2006 Available from: 2006-03-03 Created: 2006-03-03 Last updated: 2011-09-12Bibliographically 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
Trita-FYS, ISSN 0280-316X ; 2006:06
computer-aided detection, FROC, mammography, optimal operating points, single-shot dual-energy imaging
National Category
Radiology, Nuclear Medicine and Medical Imaging
urn:nbn:se:kth:diva-3861 (URN)91-7178-274-5 (ISBN)
Public defence
2006-03-10, Sal F3, Lindstedtsvägen 26, Stockholm, 10:00
QC 20100819Available from: 2006-03-03 Created: 2006-03-03 Last updated: 2010-08-19Bibliographically approved

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