Level Set Method in Medical Imaging Segmentation 1st Edition

Level Set Method in Medical Imaging Segmentation 1st Edition by Ayman El-Baz (Editor), Jasjit S. Suri (Editor) Level set methods are numerical techniques which offer remarkably powerful tools for understanding, analyzing, and computing interface motion in a host of settings. When used for medical imaging analysis and segmentation, the function assigns a label to each pixel or voxel and optimality is defined based on desired imaging properties. This often includes a detection step to extract specific objects via segmentation. This allows for the segmentation and analysis problem to be formulated and solved in a principled way based on well-established mathematical theories. Level set method is a great tool for modeling time varying medical images and enhancement of numerical computations. Product Details Digital eBook: 414 pages Publisher: CRC Press; 1 edition (July 12, 2019) Language: English