B Scan

A B-scan is a two-dimensional representation derived from a series of one-dimensional scans (A-scans), used across diverse fields including medical imaging, robotics, and material analysis. Current research focuses on improving B-scan generation and interpretation through techniques like sparse reconstruction using state-space models and deep learning architectures (e.g., encoder-decoder networks, generative models), aiming for higher resolution, faster processing, and improved accuracy. These advancements are driving improvements in applications such as autonomous navigation, 3D object reconstruction, and medical diagnosis, enabling more efficient and reliable data analysis in various domains.