Automatic bone registration in MR knee images for cartilage morphological analysis

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

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

3 Citations (Scopus)

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 publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7259
DOIs
StatePublished - 2009
Externally publishedYes
EventMedical Imaging 2009 - Image Processing - Lake Buena Vista, FL, United States
Duration: Feb 8 2009Feb 10 2009

Other

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

Fingerprint

cartilage
Cartilage
bones
Knee
Bone
Bone and Bones
Image fusion
inertia
narrowband
Color
fusion
alignment
color
propagation

Keywords

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

ASJC Scopus subject areas

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

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 Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 7259). [72592H] https://doi.org/10.1117/12.811612

Automatic bone registration in MR knee images for cartilage morphological analysis. / Yoo, Ji Hyun; Kim, Soo Kyung; Hong, Helen; Shim, Hackjoon; Kwoh, Chian K; Bae, Kyongtae T.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7259 2009. 72592H.

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

Yoo, JH, Kim, SK, Hong, H, Shim, H, Kwoh, CK & Bae, KT 2009, Automatic bone registration in MR knee images for cartilage morphological analysis. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 7259, 72592H, Medical Imaging 2009 - Image Processing, Lake Buena Vista, FL, United States, 2/8/09. https://doi.org/10.1117/12.811612
Yoo JH, Kim SK, Hong H, Shim H, Kwoh CK, Bae KT. Automatic bone registration in MR knee images for cartilage morphological analysis. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7259. 2009. 72592H https://doi.org/10.1117/12.811612
Yoo, Ji Hyun ; Kim, Soo Kyung ; Hong, Helen ; Shim, Hackjoon ; Kwoh, Chian K ; Bae, Kyongtae T. / Automatic bone registration in MR knee images for cartilage morphological analysis. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7259 2009.
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