A New Method for Computed Tomography Angiography (CTA) Imaging via Wavelet Decomposition-Dependented Edge Matching Interpolation.

The interpolation technique of computed tomography angiography (CTA) image provides the ability for 3D reconstruction, as well as reduces the detect cost and the amount of radiation. However, most of the image interpolation algorithms cannot take the automation and accuracy into account. This study...

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Publicado en:Journal of Medical Systems Vol. 40; no. 8; pp. 1 - 10
Autores principales: Li, Zeyu, Chen, Yimin, Zhao, Yan, Zhu, Lifeng, Lv, Shengqing, Lu, Jiahui
Formato: diagnostic images equations & formulas research tables/charts Journal Article
Publicado: Springer Nature Aug2016
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
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        10.1007/s10916-016-0540-3
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        atl: A New Method for Computed Tomography Angiography (CTA) Imaging via Wavelet Decomposition-Dependented Edge Matching Interpolation.
      aug:
        au:
          Li, Zeyu
          Chen, Yimin
          Zhao, Yan
          Zhu, Lifeng
          Lv, Shengqing
          Lu, Jiahui
        affil: School of Computer Engineering and Science, Shanghai University, No.99 Shang Da Road Shanghai 200444 China
      sug:
        subj:
          Coronary Angiography Methods
          Tomography, X-Ray Computed
          Image Interpretation, Computer Assisted
          Human
          Algorithms
          Experimental Studies
          Funding Source
      ab: The interpolation technique of computed tomography angiography (CTA) image provides the ability for 3D reconstruction, as well as reduces the detect cost and the amount of radiation. However, most of the image interpolation algorithms cannot take the automation and accuracy into account. This study provides a new edge matching interpolation algorithm based on wavelet decomposition of CTA. It includes mark, scale and calculation (MSC). Combining the real clinical image data, this study mainly introduces how to search for proportional factor and use the root mean square operator to find a mean value. Furthermore, we re- synthesize the high frequency and low frequency parts of the processed image by wavelet inverse operation, and get the final interpolation image. MSC can make up for the shortage of the conventional Computed Tomography (CT) and Magnetic Resonance Imaging(MRI) examination. The radiation absorption and the time to check through the proposed synthesized image were significantly reduced. In clinical application, it can help doctor to find hidden lesions in time. Simultaneously, the patients get less economic burden as well as less radiation exposure absorbed.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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