A distributed execution environment for analysis of DCE-MR image datasets

T. Kurc; S. Hastings; U. V. Catalyurek; J. Saltz; J. D. Fleig; B. D. Clymer; H. Von Tengg-Kobligk; K. T. Baudendistel; R. Machiraju; M. V. Knopp

A distributed execution environment for analysis of DCE-MR image datasets

T. Kurc
, S. Hastings
, U. V. Catalyurek
, J. Saltz
, J. D. Fleig
, B. D. Clymer
, H. Von Tengg-Kobligk
, K. T. Baudendistel
, R. Machiraju
, M. V. Knopp

Biomedical Informatics

Research output: Contribution to journal › Article › peer-review

Abstract

A new software system for automated analysis of DCE-MR imagery was developed. In this system, an imaging study would undergo an automated quality control, and subsequent postprocessing would evaluate the imaging volume utilizing registration, segmentation, and classification methodologies to detect and characterize the relevant areas/lesions. This paper presents the runtime support for quantitative analysis of image datasets obtained from DCE-MR studies on distributed collections of computer clusters and data storage systems.

Original language	English
Pages (from-to)	4-8
Number of pages	5
Journal	Journal of Digital Imaging
Volume	16
Issue number	SUPPL.
State	Published - Mar 2003

Cite this

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title = "A distributed execution environment for analysis of DCE-MR image datasets",

abstract = "A new software system for automated analysis of DCE-MR imagery was developed. In this system, an imaging study would undergo an automated quality control, and subsequent postprocessing would evaluate the imaging volume utilizing registration, segmentation, and classification methodologies to detect and characterize the relevant areas/lesions. This paper presents the runtime support for quantitative analysis of image datasets obtained from DCE-MR studies on distributed collections of computer clusters and data storage systems.",

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AU - Kurc, T.

AU - Hastings, S.

AU - Catalyurek, U. V.

AU - Saltz, J.

AU - Fleig, J. D.

AU - Clymer, B. D.

AU - Von Tengg-Kobligk, H.

AU - Baudendistel, K. T.

AU - Machiraju, R.

AU - Knopp, M. V.

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AB - A new software system for automated analysis of DCE-MR imagery was developed. In this system, an imaging study would undergo an automated quality control, and subsequent postprocessing would evaluate the imaging volume utilizing registration, segmentation, and classification methodologies to detect and characterize the relevant areas/lesions. This paper presents the runtime support for quantitative analysis of image datasets obtained from DCE-MR studies on distributed collections of computer clusters and data storage systems.

UR - https://www.scopus.com/pages/publications/0042847425

M3 - Article

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SN - 0897-1889

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JO - Journal of Digital Imaging

JF - Journal of Digital Imaging

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A distributed execution environment for analysis of DCE-MR image datasets

Abstract

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