A hybrid registration-based method for whole-body micro-CT mice images.

The widespread use of whole-body small animal in vivo imaging in preclinical research has proposed the new demands on imaging processing and analysis. Micro-CT provides detailed anatomical structural information for continuous detection and different individual comparison, but the body deformation h...

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Publicado en:Medical & Biological Engineering & Computing Vol. 54; no. 7; pp. 1037 - 1049
Autores principales: Qu, Xiaochao, Gao, Xueyuan, Xu, Xianhui, Zhu, Shouping, Liang, Jimin
Formato: Journal Article
Publicado: Springer Nature Jul2016
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        atl: A hybrid registration-based method for whole-body micro-CT mice images.
      aug:
        au:
          Qu, Xiaochao
          Gao, Xueyuan
          Xu, Xianhui
          Zhu, Shouping
          Liang, Jimin
        affil: School of Life Science and Technology, Xidian University, Xi'an 710071 China
      sug:
        subj:
          Diagnostic Imaging Methods
          Image Processing, Computer Assisted Methods
          Tomography, X-Ray Computed Methods
          Mice
          Animals
      ab: The widespread use of whole-body small animal in vivo imaging in preclinical research has proposed the new demands on imaging processing and analysis. Micro-CT provides detailed anatomical structural information for continuous detection and different individual comparison, but the body deformation happened during different data acquisition needs sophisticated registration. In this paper, we propose a hybrid method for registering micro-CT mice images, which combines the strengths of point-based and intensity-based registration methods. Point-based non-rigid method using thin-plate spline robust point matching algorithm is utilized to acquire a coarse registration. And then intensity-based non-rigid method using normalized mutual information, Halton sampling and adaptive stochastic gradient descent optimization is used to acquire precise registration. Two accuracy metrics, Dice coefficient and average surface distance are used to do the quantitative evaluation. With the intra- and intersubject micro-CT mice images registration assessment, the hybrid method has been proven capable of excellent performance on micro-CT mice images registration.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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