Shape based interpolation methods for medical images and their application

研究成果: Chapter

摘要

In the past, a variety of interpolation approaches have been proposed for medical images. The shape-based interpolation is a well-known and most commonly used method that can be implemented efficiently and achieve reasonable results. In this chapter, the morphology-based interpolation is first introduced and it can solve drawbacks in the shape-based interpolation method. Next, a powerful feature-guided image interpolation is presented. This method automatically finds feature-line segments and integrates image-warping technique to interpolate shapes. In comparison with the shape-based and morphology-based methods, the feature-guided method can manage more general image cases and generate better shape interpolation.

原文English
主出版物標題Medical Imaging Systems Technology
主出版物子標題Volume 2: Modalities
發行者World Scientific Publishing Co.
頁面281-296
頁數16
ISBN(電子)9789812701077
ISBN(列印)9812563644, 9789812569929
DOIs
出版狀態Published - 2005 一月 1

All Science Journal Classification (ASJC) codes

  • Medicine(all)

引用此

Lee, T. Y., & Lin, C. H. (2005). Shape based interpolation methods for medical images and their application. 於 Medical Imaging Systems Technology: Volume 2: Modalities (頁 281-296). World Scientific Publishing Co.. https://doi.org/10.1142/9789812701077_0009