Vesselness-based deformable registration algorithms can reduce landmark errors in the registration of pulmonary computed tomography images before and after radiation therapy Meeting Abstract


Authors: King, M.; Xiong, G.; Maxim, P. G.; Diehn, M.; Loo, B. W.; Xing, L.
Abstract Title: Vesselness-based deformable registration algorithms can reduce landmark errors in the registration of pulmonary computed tomography images before and after radiation therapy
Meeting Title: 58th Annual Meeting of the American Society for Radiation Oncology (ASTRO)
Journal Title: International Journal of Radiation Oncology, Biology, Physics
Volume: 96
Issue: 2 Suppl.
Meeting Dates: 2016 Sep 25-28
Meeting Location: Boston, MA
ISSN: 0360-3016
Publisher: Elsevier Inc.  
Date Published: 2016-10-01
Start Page: S227
Language: English
ACCESSION: WOS:000387655805153
PROVIDER: wos
DOI: 10.1016/j.ijrobp.2016.06.564
Notes: Meeting Abstract: 1150 -- 58th Annual Meeting of the American-Society-for-Radiation-Oncology -- SEP 25-28, 2016 -- Boston, MA -- Source: Wos
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  1. Martin T King
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