Multiple cortical surface correspondence using pairwise shape similarity

Pahal Dalal; Feng Shi; Dinggang Shen; Song Wang

doi:10.1007/978-3-642-15705-9_43

Multiple cortical surface correspondence using pairwise shape similarity

Pahal Dalal, Feng Shi, Dinggang Shen, Song Wang

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

10 Citations (Scopus)

Abstract

Accurately corresponding a population of human cortical surfaces provides important shape information for the diagnosis of many brain diseases. This problem is very challenging due to the highly convoluted nature of cortical surfaces. Pairwise methods using a fixed template may not handle well the case when a target cortical surface is substantially different from the template. In this paper, we develop a new method to organize the population of cortical surfaces into pairs with high shape similarity and only correspond such similar pairs to achieve a higher accuracy. In particular, we use the geometric information to identify co-located gyri and sulci for defining a new measure of shape similarity. We conduct experiments on 40 instances of the cortical surface, resulting in an improved performance over several existing shape-correspondence methods.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention, MICCAI2010 - 13th International Conference, Proceedings
Pages	349-356
Number of pages	8
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-15705-9_43
Publication status	Published - 2010
Externally published	Yes
Event	13th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010 - Beijing, China Duration: 2010 Sept 20 → 2010 Sept 24

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	6361 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	13th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010
Country/Territory	China
City	Beijing
Period	10/9/20 → 10/9/24

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-642-15705-9_43

Cite this

Dalal, P., Shi, F., Shen, D., & Wang, S. (2010). Multiple cortical surface correspondence using pairwise shape similarity. In Medical Image Computing and Computer-Assisted Intervention, MICCAI2010 - 13th International Conference, Proceedings (PART 1 ed., pp. 349-356). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6361 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-15705-9_43

Multiple cortical surface correspondence using pairwise shape similarity. / Dalal, Pahal; Shi, Feng; Shen, Dinggang et al.
Medical Image Computing and Computer-Assisted Intervention, MICCAI2010 - 13th International Conference, Proceedings. PART 1. ed. 2010. p. 349-356 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6361 LNCS, No. PART 1).

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

Dalal, P, Shi, F, Shen, D & Wang, S 2010, Multiple cortical surface correspondence using pairwise shape similarity. in Medical Image Computing and Computer-Assisted Intervention, MICCAI2010 - 13th 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. 6361 LNCS, pp. 349-356, 13th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010, Beijing, China, 10/9/20. https://doi.org/10.1007/978-3-642-15705-9_43

Dalal P, Shi F, Shen D, Wang S. Multiple cortical surface correspondence using pairwise shape similarity. In Medical Image Computing and Computer-Assisted Intervention, MICCAI2010 - 13th International Conference, Proceedings. PART 1 ed. 2010. p. 349-356. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-15705-9_43

Dalal, Pahal ; Shi, Feng ; Shen, Dinggang et al. / Multiple cortical surface correspondence using pairwise shape similarity. Medical Image Computing and Computer-Assisted Intervention, MICCAI2010 - 13th International Conference, Proceedings. PART 1. ed. 2010. pp. 349-356 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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Multiple cortical surface correspondence using pairwise shape similarity

Abstract

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