Volume morphing methods for landmark based 3D image deformation

Shiaofen Fang, Raghu Raghavan, Joan T. Richtsmeier

Research output: Contribution to journalConference articlepeer-review

26 Scopus citations


Volume morphing is a technique used for generating smooth 3D image transformations and deformations. In this paper, several algorithms are developed for morphing transformations that create new forms and simulate shape deformation and growth in biomedical applications. 3D biological point landmarks and their movements are defined to guide the morphing transformation using a scattered data interpolation algorithm. Two types of morphing algorithms, the Shepard-based interpolation and the radial basis function approach, are investigated in detail and applied for volume morphing in growth predictions of children and shape transformations between species.

Original languageEnglish (US)
Pages (from-to)404-415
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 1996
EventMedical Imaging 1996 Image Processing - Newport Beach, CA, United States
Duration: Feb 12 1996Feb 15 1996

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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