Multiple cortical surface correspondence using pairwise shape similarity

Pahal Dalal, Feng Shi, Dinggang Shen, Song Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages349-356
Number of pages8
Volume6361 LNCS
EditionPART 1
DOIs
Publication statusPublished - 2010 Nov 22
Externally publishedYes
Event13th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010 - Beijing, China
Duration: 2010 Sep 202010 Sep 24

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6361 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other13th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010
CountryChina
CityBeijing
Period10/9/2010/9/24

Fingerprint

Pairwise
Correspondence
Template
Brain
High Accuracy
Similarity
Target
Experiment
Experiments

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Dalal, P., Shi, F., Shen, D., & Wang, S. (2010). Multiple cortical surface correspondence using pairwise shape similarity. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 1 ed., Vol. 6361 LNCS, 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; Wang, Song.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6361 LNCS 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 proceedingConference contribution

Dalal, P, Shi, F, Shen, D & Wang, S 2010, Multiple cortical surface correspondence using pairwise shape similarity. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 edn, vol. 6361 LNCS, 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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 ed. Vol. 6361 LNCS. 2010. p. 349-356. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). https://doi.org/10.1007/978-3-642-15705-9_43
Dalal, Pahal ; Shi, Feng ; Shen, Dinggang ; Wang, Song. / Multiple cortical surface correspondence using pairwise shape similarity. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6361 LNCS 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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