Elastic matching of very large digital images on high performance clusters

J. Modersitzki; W. Obelöer; O. Schmitt; G. Lustig

doi:10.1007/BFb0100575

Elastic matching of very large digital images on high performance clusters

J. Modersitzki, W. Obelöer, O. Schmitt, G. Lustig

Institut für Mathematische Methoden der Bildverarbeitung

3 Zitate (Scopus)

Abstract

The aim of the human neuroscanning project is to build an atlas of the human brain, based on a variety of image modalities in particular histological sections of a prepared brain. Reconstructing essential information out of deformed images is a key problem. We describe a method to correct elastic deformations. Since the method is computational expensive a parallel implementation is presented. The measurements and results shown are performed on a cluster of 48 Pentium II PCs connected via Myrinet.

Originalsprache	Englisch
Titel	High-Performance Computing and Networking
Redakteure/-innen	Peter Sloot, Marian Bubak, Alfons Hoekstra, Bob Hertzberger
Seitenumfang	9
Band	1593
Erscheinungsort	Berlin, Heidelberg
Herausgeber (Verlag)	Springer Berlin Heidelberg
Erscheinungsdatum	01.04.1999
Seiten	141-149
ISBN (Print)	978-3-540-65821-4
ISBN (elektronisch)	978-3-540-48933-7
DOIs	https://doi.org/10.1007/BFb0100575
Publikationsstatus	Veröffentlicht - 01.04.1999
Veranstaltung	7th International Conference on High-Performance Computing and Networking - Amsterdam, Niederlande Dauer: 12.04.1999 → 14.04.1999 Konferenznummer: 150469

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10.1007/BFb0100575

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Modersitzki, J., Obelöer, W., Schmitt, O., & Lustig, G. (1999). Elastic matching of very large digital images on high performance clusters. in P. Sloot, M. Bubak, A. Hoekstra, & B. Hertzberger (Hrsg.), High-Performance Computing and Networking (Band 1593, S. 141-149). (Lecture Notes in Computer Science; Band 1593). Springer Berlin Heidelberg. https://doi.org/10.1007/BFb0100575

@inproceedings{2149a90965244067b661c55802c224e4,

title = "Elastic matching of very large digital images on high performance clusters",

abstract = "The aim of the human neuroscanning project is to build an atlas of the human brain, based on a variety of image modalities in particular histological sections of a prepared brain. Reconstructing essential information out of deformed images is a key problem. We describe a method to correct elastic deformations. Since the method is computational expensive a parallel implementation is presented. The measurements and results shown are performed on a cluster of 48 Pentium II PCs connected via Myrinet.",

author = "J. Modersitzki and W. Obel{\"o}er and O. Schmitt and G. Lustig",

year = "1999",

month = apr,

day = "1",

doi = "10.1007/BFb0100575",

language = "English",

isbn = "978-3-540-65821-4",

volume = "1593",

series = "Lecture Notes in Computer Science",

publisher = "Springer Berlin Heidelberg",

pages = "141--149",

editor = "Peter Sloot and Marian Bubak and Alfons Hoekstra and Bob Hertzberger",

booktitle = "High-Performance Computing and Networking",

note = "7th International Conference on High-Performance Computing and Networking, HPCN Europe 1999 ; Conference date: 12-04-1999 Through 14-04-1999",

}

Modersitzki, J, Obelöer, W, Schmitt, O & Lustig, G 1999, Elastic matching of very large digital images on high performance clusters. in P Sloot, M Bubak, A Hoekstra & B Hertzberger (Hrsg.), High-Performance Computing and Networking. Bd. 1593, Lecture Notes in Computer Science, Bd. 1593, Springer Berlin Heidelberg, Berlin, Heidelberg, S. 141-149, 7th International Conference on High-Performance Computing and Networking, Amsterdam, Niederlande, 12.04.99. https://doi.org/10.1007/BFb0100575

Elastic matching of very large digital images on high performance clusters. / Modersitzki, J.; Obelöer, W.; Schmitt, O. et al.
High-Performance Computing and Networking. Hrsg. / Peter Sloot; Marian Bubak; Alfons Hoekstra; Bob Hertzberger. Band 1593 Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. S. 141-149 (Lecture Notes in Computer Science; Band 1593).

Publikation: Kapitel in Büchern/Berichten/Konferenzbänden › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Elastic matching of very large digital images on high performance clusters

AU - Modersitzki, J.

AU - Obelöer, W.

AU - Schmitt, O.

AU - Lustig, G.

N1 - Conference code: 150469

PY - 1999/4/1

Y1 - 1999/4/1

N2 - The aim of the human neuroscanning project is to build an atlas of the human brain, based on a variety of image modalities in particular histological sections of a prepared brain. Reconstructing essential information out of deformed images is a key problem. We describe a method to correct elastic deformations. Since the method is computational expensive a parallel implementation is presented. The measurements and results shown are performed on a cluster of 48 Pentium II PCs connected via Myrinet.

AB - The aim of the human neuroscanning project is to build an atlas of the human brain, based on a variety of image modalities in particular histological sections of a prepared brain. Reconstructing essential information out of deformed images is a key problem. We describe a method to correct elastic deformations. Since the method is computational expensive a parallel implementation is presented. The measurements and results shown are performed on a cluster of 48 Pentium II PCs connected via Myrinet.

UR - https://www.scopus.com/pages/publications/22644448365

U2 - 10.1007/BFb0100575

DO - 10.1007/BFb0100575

M3 - Conference contribution

SN - 978-3-540-65821-4

VL - 1593

T3 - Lecture Notes in Computer Science

SP - 141

EP - 149

BT - High-Performance Computing and Networking

A2 - Sloot, Peter

A2 - Bubak, Marian

A2 - Hoekstra, Alfons

A2 - Hertzberger, Bob

PB - Springer Berlin Heidelberg

CY - Berlin, Heidelberg

T2 - 7th International Conference on High-Performance Computing and Networking

Y2 - 12 April 1999 through 14 April 1999

ER -

Elastic matching of very large digital images on high performance clusters

Abstract

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