Level Set Method in Medical Imaging Segmentation

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

• Authors: Ayman (University of Louisville El-Baz, Ayman Suri El-Baz
• Assisted by: Ayman El-Baz (Editor), El-Baz Ayman (Editor), Jasjit S. Suri (Editor), Suri Jasjit S. (Editor)
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 02.10.2023
• EAN: 9781032653068
• ISBN: 978-1-0-3265306-8
• No. of pages: 414
• Subjects: Natural sciences, medicine, IT, technology > Medicine > General; MEDICAL / General, Radiology, MEDICAL / Diagnostic Imaging / General, MEDICAL / Radiology, Radiotherapy & Nuclear Medicine, MEDICAL / Biotechnology, TECHNOLOGY & ENGINEERING / Biomedical, Biomedical engineering, Technology, Engineering, Agriculture, Medical imaging: radiology