Shape-based interpolation of porous and tortuous binary objects

Srinivasan Rajagopalan; Ronald A. Karwoski; Richard A. Robb

doi:10.1007/978-3-540-39903-2_121

Shape-based interpolation of porous and tortuous binary objects

Srinivasan Rajagopalan, Ronald A. Karwoski, Richard A. Robb

Physiology & Biomedical Engineering

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

Abstract

This paper presents a feature-guided approach for shape-based interpolation of porous and tortuous binary objects. The feature points derived from the boundaries of the candidate source objects are matched non-linearly. The intermediate objects are obtained by appropriately blending the warped source objects. A robust outlier-rejecting, non-linear point matching algorithm based on thin-plate splines is used for establishing the feature correspondence. The proposed scheme correctly handles objects with holes, large offsets and drastic invaginations. Preliminary results suggest that this approach could be used to significantly enhance the sparse Talairach-Tournoux brain atlas.

Original language	English (US)
Pages (from-to)	957-958
Number of pages	2
Journal	Lecture Notes in Computer Science
Volume	2879
Issue number	PART 2
DOIs	https://doi.org/10.1007/978-3-540-39903-2_121
State	Published - 2003
Event	Medical Image Computing and Computer-Assisted Intervention, MICCAI 2003 - 6th International Conference Proceedings - Montreal, Que., Canada Duration: Nov 15 2003 → Nov 18 2003

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-540-39903-2_121

Cite this

@article{28c5e469840a4127878743b5eddccf23,

title = "Shape-based interpolation of porous and tortuous binary objects",

abstract = "This paper presents a feature-guided approach for shape-based interpolation of porous and tortuous binary objects. The feature points derived from the boundaries of the candidate source objects are matched non-linearly. The intermediate objects are obtained by appropriately blending the warped source objects. A robust outlier-rejecting, non-linear point matching algorithm based on thin-plate splines is used for establishing the feature correspondence. The proposed scheme correctly handles objects with holes, large offsets and drastic invaginations. Preliminary results suggest that this approach could be used to significantly enhance the sparse Talairach-Tournoux brain atlas.",

author = "Srinivasan Rajagopalan and Karwoski, {Ronald A.} and Robb, {Richard A.}",

year = "2003",

doi = "10.1007/978-3-540-39903-2_121",

language = "English (US)",

volume = "2879",

pages = "957--958",

journal = "Lecture Notes in Computer Science",

issn = "0302-9743",

publisher = "Springer Verlag",

number = "PART 2",

note = "Medical Image Computing and Computer-Assisted Intervention, MICCAI 2003 - 6th International Conference Proceedings ; Conference date: 15-11-2003 Through 18-11-2003",

}

TY - JOUR

T1 - Shape-based interpolation of porous and tortuous binary objects

AU - Rajagopalan, Srinivasan

AU - Karwoski, Ronald A.

AU - Robb, Richard A.

PY - 2003

Y1 - 2003

N2 - This paper presents a feature-guided approach for shape-based interpolation of porous and tortuous binary objects. The feature points derived from the boundaries of the candidate source objects are matched non-linearly. The intermediate objects are obtained by appropriately blending the warped source objects. A robust outlier-rejecting, non-linear point matching algorithm based on thin-plate splines is used for establishing the feature correspondence. The proposed scheme correctly handles objects with holes, large offsets and drastic invaginations. Preliminary results suggest that this approach could be used to significantly enhance the sparse Talairach-Tournoux brain atlas.

AB - This paper presents a feature-guided approach for shape-based interpolation of porous and tortuous binary objects. The feature points derived from the boundaries of the candidate source objects are matched non-linearly. The intermediate objects are obtained by appropriately blending the warped source objects. A robust outlier-rejecting, non-linear point matching algorithm based on thin-plate splines is used for establishing the feature correspondence. The proposed scheme correctly handles objects with holes, large offsets and drastic invaginations. Preliminary results suggest that this approach could be used to significantly enhance the sparse Talairach-Tournoux brain atlas.

UR - http://www.scopus.com/inward/record.url?scp=0345686658&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0345686658&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-39903-2_121

DO - 10.1007/978-3-540-39903-2_121

M3 - Conference article

AN - SCOPUS:0345686658

SN - 0302-9743

VL - 2879

SP - 957

EP - 958

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

IS - PART 2

T2 - Medical Image Computing and Computer-Assisted Intervention, MICCAI 2003 - 6th International Conference Proceedings

Y2 - 15 November 2003 through 18 November 2003

ER -

Shape-based interpolation of porous and tortuous binary objects

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this