The volume Real-Time Processing of Ultrasound Images. State-of-the-Art and Future Perspectives (October 2025) is about to be released. This work provides a thorough and systematic overview of the most advanced techniques for real-time ultrasound image processing.
The book is authored by Giuseppe Patanè and Simone Cammarasana, researchers at the Institute of Applied Mathematics and Information Technologies “Enrico Magenes” of the National Research Council (CNR-IMATI) in Genoa, both actively involved in the activities of Spoke 2 of the RAISE project.
The volume is intended as a highly significant contribution to the scientific and clinical community working at the intersection of medical imaging and real-time signal processing. Ultrasound is one of the most widespread and commonly used diagnostic techniques in healthcare, thanks to its safety, lack of radiation, portability, and relatively low cost. These characteristics make it an irreplaceable tool in many clinical settings, ranging from emergency care to preventive medicine. However, the quality of ultrasound images can be affected by intrinsic limitations such as speckle noise and suboptimal resolution, which may reduce the accuracy of diagnostic interpretation.
The book addresses these challenges with a targeted approach, presenting innovative solutions for improving image quality. Particular emphasis is placed on denoising techniques, aimed at reducing noise without compromising clinically relevant details, and on super-resolution methods, which enhance image definition, making anatomical structures and potential anomalies more clearly visible. In this way, the work serves as a reference guide for those seeking to develop new processing methodologies or introduce advanced tools into everyday clinical practice.
One of the distinguishing features of the text is the breadth of topics covered. It goes beyond the analysis of static two-dimensional images to include dynamic 2D sequences and three-dimensional volumes, demonstrating how real-time processing can significantly enhance diagnostic capabilities and disease monitoring. In addition to providing an extensive review of current solutions, the authors also offer comparative evaluations, reflections on hardware and computational requirements, and practical guidance for implementation in clinical and research settings.
The publication by Giuseppe Patanè and Simone Cammarasana fits fully within the framework of research and development activities carried out by Spoke 2, whose objective is the development, validation, and integration in clinical contexts of a new generation of AI-based diagnostic imaging systems. The goal is to strengthen screening, early diagnosis, monitoring, and clinical decision support, while also addressing issues related to data quality and interoperability, the construction of trustworthy and transparent AI systems, and compliance with national and European regulatory and organizational frameworks.
The volume Real-Time Processing of Ultrasound Images makes a significant contribution to these strategic objectives by offering an updated overview of available technologies and outlining the future perspectives of ultrasound imaging. It stands as a concrete example of how the research conducted within Spoke 2 of RAISE can translate into tangible results benefiting the scientific community, healthcare professionals, and ultimately, patients.