Computed Tomography perfusion (CTp) is a functional imaging technique, which allows detecting the presence of tumour abnormal vascular patterns, through the temporal analysis of the tissue density variations. The aim of this study is to extract meaningful statistical features from CTp colorimetric maps of lung cancers that could act as a surrogate prognostic image-based biomarker.
Baiocco, S., Barone, D., Gavelli, G., Bevilacqua, A. (2016). Entropy and uniformity as CT perfusion measures may predict survival in lung cancer.
Entropy and uniformity as CT perfusion measures may predict survival in lung cancer
Baiocco, S.;Gavelli,G;Bevilacqua, A.
2016
Abstract
Computed Tomography perfusion (CTp) is a functional imaging technique, which allows detecting the presence of tumour abnormal vascular patterns, through the temporal analysis of the tissue density variations. The aim of this study is to extract meaningful statistical features from CTp colorimetric maps of lung cancers that could act as a surrogate prognostic image-based biomarker.File in questo prodotto:
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