Simplified Reeb graph as effective shape descriptor for the striatum

A. Pepe, L. Brandolini, M. Piastra, Juha Koikkalainen, J. Hietala, J. Tohka

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

3 Citations (Scopus)

Abstract

In this work, we present a novel image and mesh processing pipeline for the computation of simplified Reeb graphs for closed triangle meshes of the human striatum extracted from 3D-T1 weighted MR images. The method uses active contours for computing the mesh partition and the simplified Reeb graph. Experimental results showed that simplified Reeb graphs, as obtained by our pipeline, provide an intrinsic, effective, and stable descriptor of striatal shapes to be used as an automatic tool for inter-subject mesh registration, mesh decomposition, and striatal shapes comparison. Particularly, the nodes of simplified Reeb graphs proved to be robust landmarks to guide the mesh registration. The quality of the inter-subject mesh registration obtained by the use of simplified Reeb graphs slightly outperformed the one obtained by surface-based registration techniques. In addition, we show the stability of the resulting mesh decomposition, and we propose its use as an automatic alternative to the manual sub-segmentation of the striatum. Finally we show some preliminary results on the inter-group comparisons among neuroleptic-naive schizophrenic patients and matched controls
Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationMesh Processing in Medical Image Analysis, MeshMed 2012
EditorsJoshua A. Levine, Rasmus R. Paulsen, Yongjie Zhang
Place of PublicationBerlin, Heidelberg
PublisherSpringer
Pages134-146
ISBN (Electronic)978-3-642-33463-4
ISBN (Print)978-3-642-33462-7
DOIs
Publication statusPublished - 2012
MoE publication typeNot Eligible
EventMICCAI 2012 International Workshop on Mesh Processing in Medical Image Analysis, MeshMed 2012 - Nice, France
Duration: 1 Oct 2012 → …

Publication series

SeriesLecture Notes in Computer Science
Volume7599
ISSN0302-9743

Conference

ConferenceMICCAI 2012 International Workshop on Mesh Processing in Medical Image Analysis, MeshMed 2012
Abbreviated titleMeshMed 2012
CountryFrance
CityNice
Period1/10/12 → …

Fingerprint

Pipelines
Decomposition
Processing

Keywords

  • Mesh decomposition
  • MRI
  • schizophrenia
  • simplified Reeb graph
  • striatum
  • surface registration

Cite this

Pepe, A., Brandolini, L., Piastra, M., Koikkalainen, J., Hietala, J., & Tohka, J. (2012). Simplified Reeb graph as effective shape descriptor for the striatum. In J. A. Levine, R. R. Paulsen, & Y. Zhang (Eds.), Proceedings: Mesh Processing in Medical Image Analysis, MeshMed 2012 (pp. 134-146). Berlin, Heidelberg: Springer. Lecture Notes in Computer Science, Vol.. 7599 https://doi.org/10.1007/978-3-642-33463-4_14
Pepe, A. ; Brandolini, L. ; Piastra, M. ; Koikkalainen, Juha ; Hietala, J. ; Tohka, J. / Simplified Reeb graph as effective shape descriptor for the striatum. Proceedings: Mesh Processing in Medical Image Analysis, MeshMed 2012. editor / Joshua A. Levine ; Rasmus R. Paulsen ; Yongjie Zhang. Berlin, Heidelberg : Springer, 2012. pp. 134-146 (Lecture Notes in Computer Science, Vol. 7599 ).
@inproceedings{598a05aca7384b7592906f1a1e6fbf99,
title = "Simplified Reeb graph as effective shape descriptor for the striatum",
abstract = "In this work, we present a novel image and mesh processing pipeline for the computation of simplified Reeb graphs for closed triangle meshes of the human striatum extracted from 3D-T1 weighted MR images. The method uses active contours for computing the mesh partition and the simplified Reeb graph. Experimental results showed that simplified Reeb graphs, as obtained by our pipeline, provide an intrinsic, effective, and stable descriptor of striatal shapes to be used as an automatic tool for inter-subject mesh registration, mesh decomposition, and striatal shapes comparison. Particularly, the nodes of simplified Reeb graphs proved to be robust landmarks to guide the mesh registration. The quality of the inter-subject mesh registration obtained by the use of simplified Reeb graphs slightly outperformed the one obtained by surface-based registration techniques. In addition, we show the stability of the resulting mesh decomposition, and we propose its use as an automatic alternative to the manual sub-segmentation of the striatum. Finally we show some preliminary results on the inter-group comparisons among neuroleptic-naive schizophrenic patients and matched controls",
keywords = "Mesh decomposition, MRI, schizophrenia, simplified Reeb graph, striatum, surface registration",
author = "A. Pepe and L. Brandolini and M. Piastra and Juha Koikkalainen and J. Hietala and J. Tohka",
note = "Project code: 71992",
year = "2012",
doi = "10.1007/978-3-642-33463-4_14",
language = "English",
isbn = "978-3-642-33462-7",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "134--146",
editor = "Levine, {Joshua A.} and Paulsen, {Rasmus R.} and Zhang, {Yongjie }",
booktitle = "Proceedings",
address = "Germany",

}

Pepe, A, Brandolini, L, Piastra, M, Koikkalainen, J, Hietala, J & Tohka, J 2012, Simplified Reeb graph as effective shape descriptor for the striatum. in JA Levine, RR Paulsen & Y Zhang (eds), Proceedings: Mesh Processing in Medical Image Analysis, MeshMed 2012. Springer, Berlin, Heidelberg, Lecture Notes in Computer Science, vol. 7599 , pp. 134-146, MICCAI 2012 International Workshop on Mesh Processing in Medical Image Analysis, MeshMed 2012, Nice, France, 1/10/12. https://doi.org/10.1007/978-3-642-33463-4_14

Simplified Reeb graph as effective shape descriptor for the striatum. / Pepe, A.; Brandolini, L.; Piastra, M.; Koikkalainen, Juha; Hietala, J.; Tohka, J.

Proceedings: Mesh Processing in Medical Image Analysis, MeshMed 2012. ed. / Joshua A. Levine; Rasmus R. Paulsen; Yongjie Zhang. Berlin, Heidelberg : Springer, 2012. p. 134-146 (Lecture Notes in Computer Science, Vol. 7599 ).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

TY - GEN

T1 - Simplified Reeb graph as effective shape descriptor for the striatum

AU - Pepe, A.

AU - Brandolini, L.

AU - Piastra, M.

AU - Koikkalainen, Juha

AU - Hietala, J.

AU - Tohka, J.

N1 - Project code: 71992

PY - 2012

Y1 - 2012

N2 - In this work, we present a novel image and mesh processing pipeline for the computation of simplified Reeb graphs for closed triangle meshes of the human striatum extracted from 3D-T1 weighted MR images. The method uses active contours for computing the mesh partition and the simplified Reeb graph. Experimental results showed that simplified Reeb graphs, as obtained by our pipeline, provide an intrinsic, effective, and stable descriptor of striatal shapes to be used as an automatic tool for inter-subject mesh registration, mesh decomposition, and striatal shapes comparison. Particularly, the nodes of simplified Reeb graphs proved to be robust landmarks to guide the mesh registration. The quality of the inter-subject mesh registration obtained by the use of simplified Reeb graphs slightly outperformed the one obtained by surface-based registration techniques. In addition, we show the stability of the resulting mesh decomposition, and we propose its use as an automatic alternative to the manual sub-segmentation of the striatum. Finally we show some preliminary results on the inter-group comparisons among neuroleptic-naive schizophrenic patients and matched controls

AB - In this work, we present a novel image and mesh processing pipeline for the computation of simplified Reeb graphs for closed triangle meshes of the human striatum extracted from 3D-T1 weighted MR images. The method uses active contours for computing the mesh partition and the simplified Reeb graph. Experimental results showed that simplified Reeb graphs, as obtained by our pipeline, provide an intrinsic, effective, and stable descriptor of striatal shapes to be used as an automatic tool for inter-subject mesh registration, mesh decomposition, and striatal shapes comparison. Particularly, the nodes of simplified Reeb graphs proved to be robust landmarks to guide the mesh registration. The quality of the inter-subject mesh registration obtained by the use of simplified Reeb graphs slightly outperformed the one obtained by surface-based registration techniques. In addition, we show the stability of the resulting mesh decomposition, and we propose its use as an automatic alternative to the manual sub-segmentation of the striatum. Finally we show some preliminary results on the inter-group comparisons among neuroleptic-naive schizophrenic patients and matched controls

KW - Mesh decomposition

KW - MRI

KW - schizophrenia

KW - simplified Reeb graph

KW - striatum

KW - surface registration

U2 - 10.1007/978-3-642-33463-4_14

DO - 10.1007/978-3-642-33463-4_14

M3 - Conference article in proceedings

SN - 978-3-642-33462-7

T3 - Lecture Notes in Computer Science

SP - 134

EP - 146

BT - Proceedings

A2 - Levine, Joshua A.

A2 - Paulsen, Rasmus R.

A2 - Zhang, Yongjie

PB - Springer

CY - Berlin, Heidelberg

ER -

Pepe A, Brandolini L, Piastra M, Koikkalainen J, Hietala J, Tohka J. Simplified Reeb graph as effective shape descriptor for the striatum. In Levine JA, Paulsen RR, Zhang Y, editors, Proceedings: Mesh Processing in Medical Image Analysis, MeshMed 2012. Berlin, Heidelberg: Springer. 2012. p. 134-146. (Lecture Notes in Computer Science, Vol. 7599 ). https://doi.org/10.1007/978-3-642-33463-4_14