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

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

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

Zugriff auf Dokument

10.1007/BFb0100575

Andere Dateien und Links

https://www.scopus.com/record/display.uri?eid=2-s2.0-22644448365&origin=inward&txGid=3ffe1abe4af44773a04431adb038cc6a

Zitieren

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",

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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. 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

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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.

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DO - 10.1007/BFb0100575

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