Abstract
Myocardial perfusion assessment is of paramount importance for the diagnosis of coronary artery disease. This can be performed using different image modalities such as single-photon emission computed tomography (SPECT) or magnetic resonance imaging (MRI). Recently, cardiac multiple-detector computed tomography (MDCT) has shown promising results with the benefit of gathering data regarding coronary anatomy, ventricular function and myocardial perfusion in a single study. Preliminary results for three different methods for automatic assessment of myocardial perfusion from adenosine-induced stress MDCT are presented.
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Silva, S. et al. (2011). Myocardial Perfusion Analysis from Adenosine-Induced Stress MDCT. In: Vitrià, J., Sanches, J.M., Hernández, M. (eds) Pattern Recognition and Image Analysis. IbPRIA 2011. Lecture Notes in Computer Science, vol 6669. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21257-4_89
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DOI: https://doi.org/10.1007/978-3-642-21257-4_89
Publisher Name: Springer, Berlin, Heidelberg
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