New interpolation algorithm for three-dimensional medical image reconstruction

Sau hoi Wong, Kwok Leung Chan

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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.
Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Pages519-528
Volume2707
Publication statusPublished - 1996
EventMedical Imaging 1996: Image Display - Newport Beach, CA, USA
Duration: 11 Feb 199613 Feb 1996

Publication series

Name
Volume2707
ISSN (Print)0277-786X

Conference

ConferenceMedical Imaging 1996: Image Display
CityNewport Beach, CA, USA
Period11/02/9613/02/96

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