Level Set Method in Medical Imaging Segmentation
Author: Ayman El-Baz
Publisher: CRC Press
Published: 2019-06-26
Total Pages: 396
ISBN-13: 135137303X
DOWNLOAD EBOOK →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.