Zusammenfassung
Thermal ablation is well accepted for the treatment of tumors in cases where established therapeutic methods such as surgical resection are either inapplicable or ineffective. However, at present there is a lack of suitable imaging modalities for accurate online monitoring of the coagulation process. The aim of this work is to combine various tissue characterizing ultrasonic parameters in a classification system to differentiate between coagulated and noncoagulated tissue. As a measure of selectivity of each parameter, the area under the receiver operating characteristic (ROC) curve was estimated. The best parameter combination is processed by a classification system using linear classifiers. Classification results are presented in binary coagulation maps.
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Siebers, S., Scheipers, U., Welp, C., Werner, J., Ermert, H. (2005). Sonographic Classification of Thermally Coagulated Tissue. In: Meinzer, HP., Handels, H., Horsch, A., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2005. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26431-0_90
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DOI: https://doi.org/10.1007/3-540-26431-0_90
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