The critical role of image segmentation and registration in image-guided surgery for cancer treatment is explored. This book delves into the state-of-the-art techniques in these fields, essential for quantifying and delineating anatomical structures across various medical imaging modalities like MRI, CT, X-ray, PET, SPECT, Ultrasound, and Molecular imaging. Advanced segmentation algorithms are crucial for enhancing diagnostic accuracy and facilitating optimal treatment planning systems. The methodologies discussed aim to improve the precision and effectiveness of surgical interventions.

This volume is presented as a critical resource for understanding the advanced methodologies in medical image segmentation and registration, particularly as they apply to image-guided surgery for cancer treatment. The focus on state-of-the-art techniques across multiple imaging modalities suggests a comprehensive overview for researchers and practitioners in the field. The book aims to provide insights into how sophisticated algorithms can enhance diagnostic accuracy and treatment planning. Its content is geared towards professionals seeking to advance their knowledge in this specialized area of medical technology.