Automatic Characterization of the Physiological Condition of the Carotid Artery in 2D Ultrasound Image Sequences Using Spatiotemporal and Spatiospectral 2D Maps

<table>Differentiation between healthy young cases, healthy elderly cases, and pathological elderly cases (suffering from CAD), when using the two spectral area measures for normalized frequencies <svg height="16.6625" id="M22" style="vertical-align:-2.34499pt" version="1.1" viewbox="0 0 66.199997 16.6625" width="66.199997" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg> (green curve) and <svg height="16.6625" id="M23" style="vertical-align:-2.34499pt" version="1.1" viewbox="0 0 86.400002 16.6625" width="86.400002" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg> (blue curve) as proposed in [<a href="/journals/ijbi/2014/876267/#B34">31</a>].</table>

International Journal of Biomedical Imaging

fig19

Figure 19

Figure 19: Automatic Characterization of the Physiological Condition of the Carotid Artery in 2D Ultrasound Image Sequences Using Spatiotemporal and Spatiospectral 2D Maps 

Figure 19 | Automatic Characterization of the Physiological Condition of the Carotid Artery in 2D Ultrasound Image Sequences Using Spatiotemporal and Spatiospectral 2D Maps 