Edge-shrinking interpolation for medical images

Yuh Hwan Liu, Yung Nien Sun, Chi Wu Mao, Chii Jeng Lin

研究成果: Article同行評審

10 引文 斯高帕斯(Scopus)

摘要

A new algorithm for interpolating the missing data between two adjacent medical images is presented. Our method is useful for solving the interpolation of any region-represented images of an object to be reconstructed, even when the object is stretched abruptly, branched or hollow, as often occurs in medical images, which cases can not be handled well by existing methods. When this algorithm is applied, the nonoverlapped regions of the same object in the two base images are first extracted and encoded by chamfer distance code on every pixel in these regions. Then, the outer edges of the nonoverlapping regions are shrunk inward simultaneously so that the stretched edges reach the edges of the overlapping regions at the same time. The distance codes in nonoverlapping regions are used to limit the shrinking of these edges in the interpolation process. The proposed method also provides object centralization and enlargement operations to obtain stable and reasonable results in complicated case. The experimental results show that the proposed method is more effective and efficient in resolving general interpolation tasks than the existing methods (S. P. Rayn and J. K. Udupa, IEEE Trans. Med. Imag. 9, 32-42, 1990; G. T. Herman et al., IEEE Comput. Graph. Appl. 12, 69-79, 1992; J. F. Guo et al., Comput. Med. Imag. Graph. 19,267-279, 1995).

原文English
頁(從 - 到)91-101
頁數11
期刊Computerized Medical Imaging and Graphics
21
發行號2
DOIs
出版狀態Published - 1997 3月

All Science Journal Classification (ASJC) codes

  • 放射與超音波技術
  • 放射學、核子醫學和影像學
  • 電腦視覺和模式識別
  • 健康資訊學
  • 電腦繪圖與電腦輔助設計

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