An in silico performance characterization of respiratory motion guided 4DCT for high-quality low-dose lung cancer imaging
Author(s) -
Spencer Martin,
R O' Brien,
Christian Hofmann,
Paul Keall,
John Kipriditis
Publication year - 2018
Publication title -
physics in medicine and biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.312
H-Index - 191
eISSN - 1361-6560
pISSN - 0031-9155
DOI - 10.1088/1361-6560/aaceca
Subject(s) - image quality , imaging phantom , breathing , computer science , nuclear medicine , artificial intelligence , mathematics , computer vision , medicine , image (mathematics) , anatomy
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