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Proceedings Paper

Image registration method based on multiresolution for dual-energy subtraction radiography
Author(s): Takahiro Kawamura; Norihiro Omae; Masahiko Yamada; Wataru Ito; Kiyosumi Kawamoto; Tsukasa Doi
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Paper Abstract

In this paper we propose a novel image registration method for dual-energy subtraction radiography. The body motions by heartbeat, breathing and patient's movement during two exposures cause misregistration artifacts on a subtracted image. One conventional method can accurately compensate many varieties of motions from large to small using multi-resolution technique. This approach, however, does not consider motion directions of overlapped structures and thus causes misregistration around the heart where pulmonary blood vessels overlap with the heart since they have different motion directions. Therefore, we propose a new image registration method in order to solve this problem. Our new method has a registration process that detects the directions of the motions for each structure size, and a merging process that integrates the deformed results of each structure size. To verify the effectivity of the proposed method, we evaluate the image quality of each anatomical structure of 31 chest energy subtraction images. As a result, the proposed method has proven to be more effective in reducing misregistration artifacts of the heart, pulmonary blood vessels and ribs than the conventional method. Reducing these misregistration artifacts would contribute to improve diagnostic performance of energy subtraction images.

Paper Details

Date Published: 14 February 2012
PDF: 8 pages
Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83141S (14 February 2012); doi: 10.1117/12.910885
Show Author Affiliations
Takahiro Kawamura, FUJIFILM Corp. (Japan)
Norihiro Omae, FUJIFILM Corp. (Japan)
Masahiko Yamada, FUJIFILM Corp. (Japan)
Wataru Ito, FUJIFILM Corp. (Japan)
Kiyosumi Kawamoto, Osaka Univ. Graduate School of Medicine (Japan)
Tsukasa Doi, Osaka Univ. Graduate School of Medicine (Japan)


Published in SPIE Proceedings Vol. 8314:
Medical Imaging 2012: Image Processing
David R. Haynor; Sébastien Ourselin, Editor(s)

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