Paper
9 May 2002 Feasibility of an automated technique for detection of large misregistrations
Author Affiliations +
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.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Claudia E. Rodriguez-Carranza and Murray H. Loew "Feasibility of an automated technique for detection of large misregistrations", Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); https://doi.org/10.1117/12.467044
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Image registration

Brain

Quality measurement

Error analysis

Image segmentation

Computed tomography

Magnetic resonance imaging

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