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인공지능대학
컴퓨터공학과
Journal papers
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Coregistration of small animal PET and autoradiography for in vivo-ex vivo comparison
Title
Coregistration of small animal PET and autoradiography for in vivo-ex vivo comparison
Authors
Song S.-M.
;
Kim M.-J.
;
Lee J.-M.
;
Park H.-J.
;
Kim K.
;
Cheon G.-J.
;
Kim M.-H.
Ewha Authors
김명희
SCOPUS Author ID
김명희
Issue Date
2007
Journal Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN
0302-9743
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) vol. 4756 LNCS, pp. 822 - 830
Indexed
SCOPUS
Document Type
Conference Paper
Abstract
Non-invasive imaging of small animal and its quantification techniques are needed to be evaluated by comparison with ex vivo image. To overcome the existing method, hand-operated comparison with the unaided eye observation, we present an algorithm that matches the target area in PET scanned in vivo with an autoradiography image acquired ex vivo. We applied a coregistration algorithm that uses voxel similarity to find the corresponding slices and to make quantitative measurements. Automatic matching of in vivo and ex vivo images is novel, and can provide better validation than manual matching techniques. © Springer-Verlag Berlin Heidelberg 2007.
ISBN
9783540767244
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