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

Institute of Mathematics and Image Computing

3 Citations (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.

Original language	English
Title of host publication	High-Performance Computing and Networking
Editors	Peter Sloot, Marian Bubak, Alfons Hoekstra, Bob Hertzberger
Number of pages	9
Volume	1593
Place of Publication	Berlin, Heidelberg
Publisher	Springer Berlin Heidelberg
Publication date	01.04.1999
Pages	141-149
ISBN (Print)	978-3-540-65821-4
ISBN (Electronic)	978-3-540-48933-7
DOIs	https://doi.org/10.1007/BFb0100575
Publication status	Published - 01.04.1999
Event	7th International Conference on High-Performance Computing and Networking - Amsterdam, Netherlands Duration: 12.04.1999 → 14.04.1999 Conference number: 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 (Eds.), High-Performance Computing and Networking (Vol. 1593, pp. 141-149). (Lecture Notes in Computer Science; Vol. 1593). Springer Berlin Heidelberg. https://doi.org/10.1007/BFb0100575

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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,

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doi = "10.1007/BFb0100575",

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booktitle = "High-Performance Computing and Networking",

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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 (eds), High-Performance Computing and Networking. vol. 1593, Lecture Notes in Computer Science, vol. 1593, Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 141-149, 7th International Conference on High-Performance Computing and Networking, Amsterdam, Netherlands, 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. ed. / Peter Sloot; Marian Bubak; Alfons Hoekstra; Bob Hertzberger. Vol. 1593 Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. p. 141-149 (Lecture Notes in Computer Science; Vol. 1593).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

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.

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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

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