Volume morphing methods for landmark based 3D image deformation

Shiaofen Fang; Raghu Raghavan; Joan T. Richtsmeier

doi:10.1117/12.237943

Volume morphing methods for landmark based 3D image deformation

Shiaofen Fang, Raghu Raghavan, Joan T. Richtsmeier

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

24 Scopus citations

Abstract

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 language	English (US)
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Editors	M.H. Loew, K.M. Hanson
Pages	404-415
Number of pages	12
Volume	2710
DOIs	https://doi.org/10.1117/12.237943
State	Published - 1996
Externally published	Yes
Event	Medical Imaging 1996 Image Processing - Newport Beach, CA, United States Duration: Feb 12 1996 → Feb 15 1996

Other

Other	Medical Imaging 1996 Image Processing
Country/Territory	United States
City	Newport Beach, CA
Period	2/12/96 → 2/15/96

Keywords

3D morphing
Landmark
Scattered data interpolation
Shape deformation

ASJC Scopus subject areas

Electrical and Electronic Engineering
Condensed Matter Physics

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10.1117/12.237943

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title = "Volume morphing methods for landmark based 3D image deformation",

abstract = "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.",

keywords = "3D morphing, Landmark, Scattered data interpolation, Shape deformation",

author = "Shiaofen Fang and Raghu Raghavan and Richtsmeier, {Joan T.}",

year = "1996",

doi = "10.1117/12.237943",

language = "English (US)",

volume = "2710",

pages = "404--415",

editor = "M.H. Loew and K.M. Hanson",

booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

note = "Medical Imaging 1996 Image Processing ; Conference date: 12-02-1996 Through 15-02-1996",

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TY - GEN

T1 - Volume morphing methods for landmark based 3D image deformation

AU - Fang, Shiaofen

AU - Raghavan, Raghu

AU - Richtsmeier, Joan T.

PY - 1996

Y1 - 1996

N2 - 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.

AB - 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.

KW - 3D morphing

KW - Landmark

KW - Scattered data interpolation

KW - Shape deformation

UR - http://www.scopus.com/inward/record.url?scp=0030314753&partnerID=8YFLogxK

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U2 - 10.1117/12.237943

DO - 10.1117/12.237943

M3 - Conference contribution

AN - SCOPUS:0030314753

VL - 2710

SP - 404

EP - 415

BT - Proceedings of SPIE - The International Society for Optical Engineering

A2 - Loew, M.H.

A2 - Hanson, K.M.

T2 - Medical Imaging 1996 Image Processing

Y2 - 12 February 1996 through 15 February 1996

ER -

Volume morphing methods for landmark based 3D image deformation

Abstract

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Keywords

ASJC Scopus subject areas

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