Impact of Matching Point Selections on Image Registration Accuracy between Optical Scan and Computed Tomography.

The point-based surface registration method involves the manual selection process of paired matching points on the data of computed tomography and optical scan. The purpose of this study was to investigate the impact of selection error and distribution of fiducial points on the accuracy of image mat...

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Publicado en:BioMed Research International pp. 1 - 8
Autores principales: Mai, Hai Yen, Lee, Du-Hyeong
Formato: diagnostic images research tables/charts Journal Article
Publicado: Wiley-Blackwell 8/5/2020
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 8/5/2020
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1155/2020/3285431
        144948052
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        atl: Impact of Matching Point Selections on Image Registration Accuracy between Optical Scan and Computed Tomography.
      aug:
        au:
          Mai, Hai Yen
          Lee, Du-Hyeong
        affil: Department of Prosthodontics, School of Dentistry, Kyungpook National University, 2177 Dalgubeoldae-ro, Jung-Gu, Daegu 41940, Republic of Korea
      sug:
        subj:
          Tomography, X-Ray Computed Methods
          Imaging, Three-Dimensional Methods
          Radiography, Dental Methods
          Software
          Human
          Validity
          Jaw, Edentulous Radiography
          Kruskal-Wallis Test
          Mann-Whitney U Test
          Post Hoc Analysis
          Analysis of Variance
      ab: The point-based surface registration method involves the manual selection process of paired matching points on the data of computed tomography and optical scan. The purpose of this study was to investigate the impact of selection error and distribution of fiducial points on the accuracy of image matching between 3-dimensional (3D) images in dental planning software programs. Computed tomography and optical scan images of a partial edentulous dental arch were obtained. Image registration of the optical scan image to computed tomography was performed using the point-based surface registration method in planning software programs under different conditions of 3 fiducial points: point selection error (0, 1, or 2 mm), point distribution (unilateral, bilateral), and planning software (Implant Studio, Blue Bio Plan) (n = 5 per condition, N = 60). The accuracy of image registration at each condition was evaluated by measuring linear discrepancies between matched images at X , Y , and Z axes. Kruskal-Wallis test, Mann-Whitney U test with Bonferroni correction, and 3-way analysis of variance were used to statistically analyse the measurement data (α = 0.05). No statistically significant difference was exhibited between the 0 and 1 mm point mismatch conditions in either unilateral or bilateral point distributions. The discrepancy values in the 2 mm mismatch condition were significantly different from the other mismatch conditions, especially in the unilateral point distribution (P < 0.05). Strong interactions among point selection error, distribution, and software programs on the image registration were found (P < 0.001). Minor matching point selection error did not influence the accuracy of point-based automatic image registration in the software programs. When the fiducial points are distributed unilaterally with large point selection error, the image matching accuracy could be decreased.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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