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...
Main Authors: | Kiryati, Nahum, Ben-Zadok, Nir, Riklin-Raviv, Tammy |
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Outros Autores: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Formato: | Artigo |
Idioma: | en_US |
Publicado em: |
Institute of Electrical and Electronics Engineers
2010
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Assuntos: | |
Acesso em linha: | http://hdl.handle.net/1721.1/55357 |
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