Interactive level set segmentation for image-guided therapy

Interactive level set segmentation for image-guided therapy

Image-guided therapy procedures require the patient to remain still throughout the image acquisition, data analysis and therapy. This imposes a tight time constraint on the over-all process. Automatic extraction of the pathological regions prior to the therapy can be faster than the customary manual...

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Bibliographic Details
Main Authors: Kiryati, Nahum, Ben-Zadok, Nir, Riklin-Raviv, Tammy
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers 2010
Subjects:
User interaction
MR scans segmentation
Level-set framework
Image guided therapy
Online Access:http://hdl.handle.net/1721.1/55357

Internet

http://hdl.handle.net/1721.1/55357

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