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Separating arterial and venous components from 3D dynamic contrast-enhanced MRI studies using factor analysis |
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AbstractDynamic contrast-enhanced MRI has been used extensively for angiographybut in order to generate separate arterial and venous images some form ofpostprocessing is required. This typically involves the subtraction of oneimage in a dynamic sequence from another in order to suppress unwantedsignal and however, this also has the effect of decreasing thesignal-to-noise ratio (SNR) of the image. In this study, factor analysis,a technique related to eigenimage filtering, is used to separate arterialand venous components from dynamic contrast-enhanced images of the legsacquired with a temporal resolution of 30 sec. The SNR of the venous andarterial images extracted from a series of 20 patients using conventionalsingle subtraction, a double subtraction method, and factor analysis werecompared. Results show that the use of factor analysis improved the SNR inthe venous images by a factor of 2.3 compared with the use of simplesubtraction. A subjective comparison of the maximum intensity projectionimages generated from the venous images was also carried out and showed asignificant preference for those generated using factor analysis overthose generated using other subtraction methods.
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