Level Set Method in Medical Imaging Segmentation

By Ayman El-Baz (Editor); Jasjit S. Suri (Editor)

Book information

Publisher
CRC Press
Year
2019
ISBN
9781138553453, 9781315148595, 9781351373029, 9781351373012, 9781351373036
DOI
10.1201/b22435
Format
PDF
Filesize
14 MB (14246713 bytes)
Edition
1
Pages
\415
Time added
2020-10-06 04:24:42
DentistryEngineering & Technology;Biomedical Engineering;MeNursing & Allied Health;Medicine;Radiology

Description

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.

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