Sonohistology

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This work presents findings from years of research in ultrasonic tissue characterization, primarily aimed at developing a computer-aided diagnostic system for prostate cancer detection. It also serves as a resource for scientists interested in ultrasonic tissue characterization across various organs. The book evaluates and details eight groups of tissue parameters and features commonly used in the field, making it a valuable reference for researchers. Additionally, it introduces essential statistical tools for evaluating tissue parameters and classifying biological tissues. A modern classifier, the adaptive network-based fuzzy inference system, is described in a way that supports readers in creating higher-order classification systems. While the system is largely designed for prostate cancer detection, its reliability has been demonstrated in studies involving coronary plaque classification, differentiating blood and vessel wall in intravascular ultrasound, staging deep venous thrombosis, and monitoring thermal ablation therapy. This comprehensive approach underscores the versatility and applicability of the research findings in various medical contexts.