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Multimodality Image Registration and Fusion using Feature Extraction

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2007, 12(2), pp.123-130
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Sang-Keun Woo 1 Kim, JeeHyun 2

1한국원자력의학원
2서일대학

Accredited

ABSTRACT

The aim of this study was to propose a fusion and registration method with heterogeneous small animal acquisition system in small animal in-vivo study. After an intravenous injection of 18F-FDG through tail vain and 60 min delay for uptake, mouse was placed on an acryl plate with fiducial markers that were made for fusion between small animal PET (microPET R4, Concorde Microsystems, Knoxville TN) and Discovery LS CT images. The acquired emission list-mode data was sorted to temporally framed sinograms and reconstructed using FORE rebining and 2D-OSEM algorithms without correction of attenuation and scatter. After PET imaging, CT images were acquired by mean of a clinical PET/CT with high-resolution mode. The microPET and CT images were fusion and co-registered using the fiducial markers and segmented lung region in both data sets to perform a point-based rigid co-registration. This method improves the quantitative accuracy and interpretation of the tracer.

Citation status

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