CT and PET Image Registration: Application to Thorax Area

Document identifier: oai:DiVA.org:ltu-7660
Access full text here:10.12720/joig.1.4.171-175
Keyword: Engineering and Technology, Thorax, Experimental Mechanics, Teknikvetenskap - Bioteknik, Technology - Bioengineering, Gradient anistropic diffusion filter, CTAC, FFD, CT, Mechanical Engineering, PET, Registration, Teknisk mekanik, Maskinteknik, Teknik och teknologier, Applied Mechanics, Experimentell mekanik
Publication year: 2013
Relevant Sustainable Development Goals (SDGs):
SDG 3 Good health and wellbeing
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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 occurred due to respiratory artifact between PET and CT images. In this paper a combined method which is simple and fast is proposed for registration of PET and CT data to correct the effect of this artifact. The algorithm is composed of two step: First step is meant to reduce the noise by applying an adaptive gradient anistropic diffusion filter then using Iterative closest point (ICP) registration method in order to obtain initial estimation to ensure fast and accurate convergence of the algorithm. At the second step, the respiratory related artifact of PET images is greatly reduced by employing Free Form Deformation algorithm based on B-spline which provides more accurate adaptive transformation to align the images


Davood Khodadad

Luleå tekniska universitet; Strömningslära och experimentell mekanik
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Alireza Ahmadian Ahmadian

Institute for Advanced Medical Technologies (IAMT), Tehran University of Medical Science
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Hossein Yousefi Banaem

Department of Medical Physics and Medical Engineering, Isfahan University of Medical Sciences
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Mohammad Reza Ay

Research Institute for Nuclear Medicine, Tehran University of Medical Science
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Armaghan Fard-Esfahani

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