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Proceedings Paper

Feasibility of an automated technique for detection of large misregistrations
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Paper Abstract

Before a retrospective registration algorithm can be used routinely in the clinic, methods must be provided for distinguishing between registration solutions that are clinically satisfactory and those that are not. One approach is to rely on a human observer. Here, we present an algorithmic procedure for assessing quality that discriminates between badly misregistered pairs and those that are clinically useful.

Paper Details

Date Published: 9 May 2002
PDF: 10 pages
Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); doi: 10.1117/12.467044
Show Author Affiliations
Claudia E. Rodriguez-Carranza, George Washington Univ. (United States)
Murray H. Loew, George Washington Univ. (United States)

Published in SPIE Proceedings Vol. 4684:
Medical Imaging 2002: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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