Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10344523 | Computer Methods and Programs in Biomedicine | 2015 | 15 Pages |
Abstract
The relative overlap of identified lesions decreased by 5.91% in case of Rigid registration, 6.23% in case of Affine registration, 4.48% for Demons registration, whereas it increased by 3.05% in case of B-Splines registration. Rigid and Affine transformation-based registration took only 0.1936 and 0.2893Â s per frame, respectively. Demons and B-Splines framework took only 0.5705 and 0.9405Â s per frame, respectively, which were significantly slower than Rigid and Affine transformation based image registration.
Keywords
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Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Tadashi Araki, Nobutaka Ikeda, Nilanjan Dey, Sayan Chakraborty, Luca Saba, Dinesh Kumar, Elisa Cuadrado Godia, Xiaoyi Jiang, Ajay Gupta, Petia Radeva, John R. Laird, Andrew Nicolaides, Jasjit S. Suri,