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Registration of Micro-Computed Tomography and Histological Images of the Guinea Pig Cochlea to Construct an Ear Model Using an Iterative Closest Point Algorithm

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Abstract

We present a practical and systematic method to reconstruct accurate physical models of the guinea pig ear (n = 1). The method uses a semi-automatic technique to create three-dimensional (3-D) models of the guinea pig cochlea by registration of micro-computed tomography (CT) and histological images. An iterative closest point algorithm was employed to minimize the sum of square errors with respect to the closest histological model and corresponding micro-CT model. This allowed creation of an accurate geometric ear model including external ear canal, tympanic membrane, middle ear cavity, auditory ossicles, and the cochlea. The characteristic cross-sectional areas of scala tympani, scala vestibuli, and scala media were measured. The length, thickness, and apex width of the guinea pig’s basilar membrane were compared to the data found in literature. Some shape parameters were also compared among different species. The results confirmed that the geometric model created by this method was accurate. This method provides an effective way to visualize the 3-D structure and the detailed information about ear geometry required for finite element and multibody dynamic analysis.

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Acknowledgments

We appreciate the contribution of the Neurobiology and Cognitive Science Center, National Taiwan University, in providing technical support of the dedicated small animal PET/CT scanner for imaging. This study was supported by grants from the National Science Council to C.F.L. (Grant no. NSC 98-2314-B-303003-MY3) and W.J.L. (Grant no. NSC 97-2314-B-002-150-MY2) and a grant from the Buddhist Tzu Chi General Hospital to C.F.L. (Grant nos. TCRD 9703 and 9704).

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Authors and Affiliations

  1. Department of Otolaryngology, Tzu Chi General Hospital, 970, Hualien, Taiwan

    Chia-Fone Lee

  2. Department of Medicine, Tzu Chi University, 970, Hualien, Taiwan

    Chia-Fone Lee

  3. Department of Information Management, Chang Gung University, 333, Tao-Yuan, Taiwan

    Gen-Jia Li & Shu-Yen Wan

  4. Department of Electrical Engineering, National Taiwan University, 790, Taipei, Taiwan

    Wen-Jeng Lee

  5. Department of Medical Imaging, National Taiwan University Hospital, 100, Taipei, Taiwan

    Wen-Jeng Lee

  6. Department of Nuclear Medicine, National Taiwan University Hospital, 100, Taipei, Taiwan

    Kai-Yuan Tzen

  7. Neurobiology and Cognitive Science Center, National Taiwan University, 790, Taipei, Taiwan

    Kai-Yuan Tzen

  8. School of Veterinary Medicine, National Taiwan University, 790, Taipei, Taiwan

    Chiung-Hsiang Chen

  9. Department of Mechanical Engineering, National Taiwan University, 790, Taipei, Taiwan

    Yu-Lin Song & Yuan-Fang Chou

  10. Department of Otolaryngology, Tai-Tung Christian Hospital, No. 350, Kai-Feng Street, 950, Tai-Tung, Taiwan

    Yuh-Shyang Chen

  11. Department of Otolaryngology, National Taiwan University Hospital, 100, Taipei, Taiwan

    Tien-Chen Liu

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  1. Chia-Fone Lee
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  2. Gen-Jia Li
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  9. Yuh-Shyang Chen
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Correspondence to Yuh-Shyang Chen or Tien-Chen Liu.

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Associate Editor Joan Greve oversaw the review of this article.

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Lee, CF., Li, GJ., Wan, SY. et al. Registration of Micro-Computed Tomography and Histological Images of the Guinea Pig Cochlea to Construct an Ear Model Using an Iterative Closest Point Algorithm. Ann Biomed Eng 38, 1719–1727 (2010). https://doi.org/10.1007/s10439-010-9961-1

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  • DOI: https://doi.org/10.1007/s10439-010-9961-1

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