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Proceedings Paper

B-spline based free form deformation thoracic non-rigid registration of CT and PET images
Author(s): Davood Khodadad; Alireza Ahmadian; Mohammadreza Ay; Armaghan Fard Esfahani; Hossein Yousefi Banaem; Habib Zaidi
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Paper Abstract

Accurate attenuation correction of emission data is mandatory for quantitative analysis of PET images. One of the main concerns in CT-based attenuation correction(CTAC) of PET data in multimodality PET/CT imaging is misalignment between PET and CT images. The aim of this study, is to proposed a hybrid method which is simple, fast and accurate, for registration of PET and CT data which affected from respiratory motion in order to improve the quality of CTAC. The algorithm is composed of three methods: First, using B-spline Free Form Deformation to describe both images and deformation field. Then applying a pre-filtering on both PET and CT images before segmentation of structures in order to reduce the respiratory related attenuation correction artifacts of PET emission data. In this approach, B-spline using FFD provide more accurate adaptive transformation to align the images, and structure constraints obtained from prefiltering applied to guide the algorithm to be more fast and accurate. Also it helps to reduce the radiation dose in PET/CT by avoiding repetition of CT imaging. These advances increase the potential of the method for routine clinical application.

Paper Details

Date Published: 1 October 2011
PDF: 7 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82851K (1 October 2011); doi: 10.1117/12.913422
Show Author Affiliations
Davood Khodadad, Tehran Univ. of Medical Science (Iran, Islamic Republic of)
Alireza Ahmadian, Tehran Univ. of Medical Science (Iran, Islamic Republic of)
Mohammadreza Ay, Tehran Univ. of Medical Science (Iran, Islamic Republic of)
Armaghan Fard Esfahani, Tehran Univ. of Medical Science (Iran, Islamic Republic of)
Hossein Yousefi Banaem, Tehran Univ. of Medical Science (Iran, Islamic Republic of)
Habib Zaidi, Geneva Univ. Hospital (Switzerland)


Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)

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