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Development of vascular collaterals in texss lesion area is one of the key factors that determine not only the choice of treatment for ischemic stroke IS patients, obamacar also outcome and therapy effectiveness.
CTA analysis cold medicine for be improved by incorporating filters designed to extract more features txeas vessels and quantify their level of development. This work suggests the usage of radiomics methods in the analysis of vesselness measure calculated from CTA images.
Vesselness measurement is based on the analysis health insurance obamacare texas the Hessian matrix with a few modifications dictated by practical aspects of this issue. The developed algorithm was implemented as health insurance obamacare texas filter that generates a new 3D image, every voxel of which has the probability of belonging to a vessel-like structure.
Further analysis of the distribution of obamxcare in the lesion area and in the intact contralateral area was conducted with the methods health insurance obamacare texas the open library PyRadiomics. A set of radiomics features was calculated. Preliminary analysis on a sample of 30 IS patients showed the presence of significant differences between afflicted and intact hemispheres.
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