Automatic bone registration in MR knee images for cartilage morphological analysis

Ji Hyun Yoo, Soo Kyung Kim, Helen Hong, Hackjoon Shim, C. Kent Kwoh, Kyongtae T. Bae

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

We propose a cartilage matching technique based on the registration of the corresponding bone structures instead of using the cartilage. Our method consists of five steps. First, cartilage and corresponding bone structures are extracted by semi-automatic segmentation. Second, gross translational mismatch between corresponding bone structures is corrected by point-based rough registration. The center of inertia (COI) of each segmented bone structure is considered as the reference point. Third, the initial alignment is refined by distance-based surface registration. For fast and robust convergence of the distance measure to the optimal value, a 3D distance map is generated by the Gaussian-weighted narrow-band distance propagation. Fourth, rigid transformation of the bone surface registration is applied to the cartilage of baseline MR images. Finally, morphological differences of the corresponding cartilages are visualized by color-coded mapping and image fusion. Experimental results show that the cartilage morphological changes of baseline and follow-up MR knee images can be easily recognized by the correct registration of the corresponding bones.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2009 - Image Processing
DOIs
StatePublished - Dec 15 2009
Externally publishedYes
EventMedical Imaging 2009 - Image Processing - Lake Buena Vista, FL, United States
Duration: Feb 8 2009Feb 10 2009

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7259
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2009 - Image Processing
CountryUnited States
CityLake Buena Vista, FL
Period2/8/092/10/09

Keywords

  • Distance map
  • Femoral cartilage
  • Femur
  • MR imaging
  • Narrow-band distance propagation
  • Registration

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Yoo, J. H., Kim, S. K., Hong, H., Shim, H., Kwoh, C. K., & Bae, K. T. (2009). Automatic bone registration in MR knee images for cartilage morphological analysis. In Medical Imaging 2009 - Image Processing [72592H] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 7259). https://doi.org/10.1117/12.811612