18 March 2015 Scatter correction of vessel dropout behind highly attenuating structures in 4D-DSA
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Abstract
In Computed Tomographic (CT) image reconstruction for 4 dimensional digital subtraction angiography (4D-DSA), loss of vessel contrast has been observed behind highly attenuating anatomy, such as large contrast filled aneurysms. Although this typically occurs only in a limited range of projection angles, the observed contrast time course can be altered. In this work we propose an algorithm to correct for highly attenuating anatomy within the fill projection data, i.e. aneurysms. The algorithm uses a 3D-SA volume to create a correction volume that is multiplied by the 4D-DSA volume in order to correct for signal dropout within the 4D-DSA volume. The algorithm was designed to correct for highly attenuating material in the fill volume only, however with alterations to a single step of the algorithm, artifacts due to highly attenuating materials in the mask volume (i.e. dental implants) can be mitigated as well. We successfully applied our algorithm to a case of vessel dropout due to the presence of a large attenuating aneurysm. The performance was qualified visually as the affected vessel no longer dropped out on corrected 4D-DSA time frames. The correction was quantified by plotting the signal intensity along the vessel. Our analysis demonstrated our correction does not alter vessel signal values outside of the vessel dropout region but does increase the vessel values within the dropout region as expected. We have demonstrated that this correction algorithm acts to correct vessel dropout in areas with highly attenuating materials.
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James Hermus, James Hermus, Charles Mistretta, Charles Mistretta, Timothy P. Szczykutowicz, Timothy P. Szczykutowicz, } "Scatter correction of vessel dropout behind highly attenuating structures in 4D-DSA", Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94124K (18 March 2015); doi: 10.1117/12.2075746; https://doi.org/10.1117/12.2075746
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