Generalized surface flows for deformable registration and cortical matching

I. Eckstein; A. A. Joshi; C. C.J. Kuo; R. Leahy; M. Desbrun

doi:10.1007/978-3-540-75757-3_84

Generalized surface flows for deformable registration and cortical matching

I. Eckstein
, A. A. Joshi
, C. C.J. Kuo
, R. Leahy
, M. Desbrun

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

Abstract

Despite being routinely required in medical applications, deformable surface registration is notoriously difficult due to large intersubject variability and complex geometry of most medical datasets. We present a general and flexible deformable matching framework based on generalized surface flows that efficiently tackles these issues through tailored deformation priors and multiresolution computations. The value of our approach over existing methods is demonstrated for automatic and user-guided cortical registration.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings
Publisher	Springer Verlag
Pages	692-700
Number of pages	9
Edition	PART 1
ISBN (Print)	9783540757566
DOIs	https://doi.org/10.1007/978-3-540-75757-3_84
Publication status	Published - 1 Jan 2007
Externally published	Yes
Event	10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007 - Brisbane, Australia Duration: 29 Oct 2007 → 2 Nov 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	4791 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007
Country/Territory	Australia
City	Brisbane
Period	29/10/07 → 2/11/07

Access to Document

10.1007/978-3-540-75757-3_84

Cite this

Eckstein, I., Joshi, A. A., Kuo, C. C. J., Leahy, R., & Desbrun, M. (2007). Generalized surface flows for deformable registration and cortical matching. In Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings (PART 1 ed., pp. 692-700). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4791 LNCS, No. PART 1). Springer Verlag. https://doi.org/10.1007/978-3-540-75757-3_84

Eckstein, I. ; Joshi, A. A. ; Kuo, C. C.J. et al. / Generalized surface flows for deformable registration and cortical matching. Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings. PART 1. ed. Springer Verlag, 2007. pp. 692-700 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

@inproceedings{14c0724fac54449b9d60580b9ee43d4f,

title = "Generalized surface flows for deformable registration and cortical matching",

abstract = "Despite being routinely required in medical applications, deformable surface registration is notoriously difficult due to large intersubject variability and complex geometry of most medical datasets. We present a general and flexible deformable matching framework based on generalized surface flows that efficiently tackles these issues through tailored deformation priors and multiresolution computations. The value of our approach over existing methods is demonstrated for automatic and user-guided cortical registration.",

author = "I. Eckstein and Joshi, \{A. A.\} and Kuo, \{C. C.J.\} and R. Leahy and M. Desbrun",

year = "2007",

month = jan,

day = "1",

doi = "10.1007/978-3-540-75757-3\_84",

language = "English",

isbn = "9783540757566",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

number = "PART 1",

pages = "692--700",

booktitle = "Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings",

edition = "PART 1",

note = "10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007 ; Conference date: 29-10-2007 Through 02-11-2007",

}

Eckstein, I, Joshi, AA, Kuo, CCJ, Leahy, R & Desbrun, M 2007, Generalized surface flows for deformable registration and cortical matching. in Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 4791 LNCS, Springer Verlag, pp. 692-700, 10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007, Brisbane, Australia, 29/10/07. https://doi.org/10.1007/978-3-540-75757-3_84

Generalized surface flows for deformable registration and cortical matching. / Eckstein, I.; Joshi, A. A.; Kuo, C. C.J. et al.
Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings. PART 1. ed. Springer Verlag, 2007. p. 692-700 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4791 LNCS, No. PART 1).

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

TY - GEN

T1 - Generalized surface flows for deformable registration and cortical matching

AU - Eckstein, I.

AU - Joshi, A. A.

AU - Kuo, C. C.J.

AU - Leahy, R.

AU - Desbrun, M.

PY - 2007/1/1

Y1 - 2007/1/1

N2 - Despite being routinely required in medical applications, deformable surface registration is notoriously difficult due to large intersubject variability and complex geometry of most medical datasets. We present a general and flexible deformable matching framework based on generalized surface flows that efficiently tackles these issues through tailored deformation priors and multiresolution computations. The value of our approach over existing methods is demonstrated for automatic and user-guided cortical registration.

AB - Despite being routinely required in medical applications, deformable surface registration is notoriously difficult due to large intersubject variability and complex geometry of most medical datasets. We present a general and flexible deformable matching framework based on generalized surface flows that efficiently tackles these issues through tailored deformation priors and multiresolution computations. The value of our approach over existing methods is demonstrated for automatic and user-guided cortical registration.

UR - https://www.scopus.com/pages/publications/79551685120

U2 - 10.1007/978-3-540-75757-3_84

DO - 10.1007/978-3-540-75757-3_84

M3 - Conference contribution

C2 - 18051119

AN - SCOPUS:79551685120

SN - 9783540757566

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 692

EP - 700

BT - Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings

PB - Springer Verlag

T2 - 10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007

Y2 - 29 October 2007 through 2 November 2007

ER -

Eckstein I, Joshi AA, Kuo CCJ, Leahy R, Desbrun M. Generalized surface flows for deformable registration and cortical matching. In Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings. PART 1 ed. Springer Verlag. 2007. p. 692-700. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-540-75757-3_84

Generalized surface flows for deformable registration and cortical matching

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this