New interpolation algorithm for three-dimensional medical image reconstruction

Sau-hoi Wong; Kwok-Leung Chan

doi:10.1117/12.238482

15 April 1996 New interpolation algorithm for three-dimensional medical image reconstruction

Sau-hoi Wong, Kwok-Leung Chan

Proceedings Volume 2707, Medical Imaging 1996: Image Display; (1996) https://doi.org/10.1117/12.238482
Event: Medical Imaging 1996, 1996, Newport Beach, CA, United States

Abstract

Many medical applications require the full perception of human organs or tissues for advanced interpretation and reliable decision. It is useful to generate a three-dimensional (3-D) view from its serial cross sections for surgical planning and diagnosis. The cross-sectional images are usually represented by contours after segmentation. Interpolation has to be carried out to fill the space between the successive contours. A new approach to 3-D image interpolation using the co-matching corresponding finding (CMCF) is proposed. The start and goal contours are mapped onto a unit square respectively and then divided into four regions with each side of the square in order to determine the four bounding points. Four segments are formed between the bounding points. Hence, the matching process becomes the matching of a segment to another (segment of another contour) and it is repeated four times. An objective mapping is applied to the correspondence points of each segment and additional points which follow a precise decision rule may be inserted for determining the best correspondence pair.

Citation Download Citation

Sau-hoi Wong and Kwok-Leung Chan "New interpolation algorithm for three-dimensional medical image reconstruction", Proc. SPIE 2707, Medical Imaging 1996: Image Display, (15 April 1996); https://doi.org/10.1117/12.238482

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