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Coregistration of Small Animal PET and Autoradiography for in vivo–ex vivo Comparison

  • Soo-Min Song
  • Min-Jeong Kim
  • Joung-Min Lee
  • Hye-Jin Park
  • KyeongMin Kim
  • Gi-Jeong Cheon
  • Myoung-Hee Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4756)

Abstract

Non-invasive imaging of small animal and its quantification techniques are needed to be evaluated by comparison with ex vivo image. To overcome the existing method, hand-operated comparison with the unaided eye observation, we present an algorithm that matches the target area in PET scanned in vivo with an autoradiography image acquired ex vivo. We applied a coregistration algorithm that uses voxel similarity to find the corresponding slices and to make quantitative measurements. Automatic matching of in vivo and ex vivo images is novel, and can provide better validation than manual matching techniques.

Keywords

Image registration in vivo-ex vivo validation small animal image 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Soo-Min Song
    • 1
  • Min-Jeong Kim
    • 1
  • Joung-Min Lee
    • 1
  • Hye-Jin Park
    • 1
  • KyeongMin Kim
    • 2
  • Gi-Jeong Cheon
    • 2
  • Myoung-Hee Kim
    • 1
    • 3
  1. 1.Department of Computer Science and Engineering, Ewha Womans University, SeoulKorea
  2. 2.Korea Institute of Radiological and Medical Sciences, SeoulKorea
  3. 3.Center for Computer Graphics and Virtual Reality, Ewha Womans University, SeoulKorea

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