B-spline based free form deformation thoracic non-rigid registration of CT and PET images

Davood Khodadad; Alireza Ahmadian; Mohammadreza Ay; Armaghan Fard Esfahani; Hossein Yousefi Banaem; Habib Zaidi

doi:10.1117/12.913422

30 September 2011 B-spline based free form deformation thoracic non-rigid registration of CT and PET images

Davood Khodadad, Alireza Ahmadian, Mohammadreza Ay, Armaghan Fard Esfahani, Hossein Yousefi Banaem, Habib Zaidi

Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 82851K (2011) https://doi.org/10.1117/12.913422
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt

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.

Citation Download Citation

Davood Khodadad, Alireza Ahmadian, Mohammadreza Ay, Armaghan Fard Esfahani, Hossein Yousefi Banaem, and Habib Zaidi "B-spline based free form deformation thoracic non-rigid registration of CT and PET images", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82851K (30 September 2011); https://doi.org/10.1117/12.913422

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