3D medical volume reconstruction using web services

Rob Kooper; Andrew Shirk; Sang Chul Lee; Amy Lin; Robert Folberg; Peter Bajcsy

doi:10.1109/ICWS.2005.1

3D medical volume reconstruction using web services

Rob Kooper, Andrew Shirk, Sang Chul Lee, Amy Lin, Robert Folberg, Peter Bajcsy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

Abstract

We address the problem of 3D medical volume reconstruction using web services. The use of proposed web services is motivated by the fact that the problem of 3D medical volume reconstruction requires significant computer resources and human expertise in medical and computer science areas. Web services were implemented as an additional layer to a dataflow framework called Data to Knowledge. In the collaboration between UIC and NCSA, pre-processed input images at NCSA were made accessible to medical collaborators for registration. Every time medical collaborators inspected images and selected corresponding features for registration, the web server at NCSA was contacted and the registration processing query was executed using the Image to Knowledge library of registration methods. Co-registered frames were returned for verification by medical collaborators in a new window. This paper presents 3D volume reconstruction problem requirements, architecture of the developed prototype system and the tradeoffs of our system design.

Original language	English
Title of host publication	Proceedings - 2005 IEEE International Conference on Web Services, ICWS 2005
Pages	709-716
Number of pages	8
DOIs	https://doi.org/10.1109/ICWS.2005.1
State	Published - 2005
Externally published	Yes
Event	2005 IEEE International Conference on Web Services, ICWS 2005 - Orlando, FL, United States Duration: 11 Jul 2005 → 15 Jul 2005

Publication series

Name	Proceedings - 2005 IEEE International Conference on Web Services, ICWS 2005
Volume	2005

Conference

Conference	2005 IEEE International Conference on Web Services, ICWS 2005
Country/Territory	United States
City	Orlando, FL
Period	11/07/05 → 15/07/05

Bibliographical note

Funding Information:
This material is based upon work partially supported by the National Laboratory for Advanced Data Research (NLADR) and the National Institute of Health under Grant no. R01 EY10457. The on-going research is collaboration between the Department of Pathology, College of Medicine, University of Illinois at Chicago (UIC) and the Image Spatial Data Analysis Group, National Center for Supercomputing Applications (NCSA), University of Illinois at Urbana-Champaign (UIUC). We acknowledge NCSA/UIUC support of this work.

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10.1109/ICWS.2005.1

Cite this

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title = "3D medical volume reconstruction using web services",

abstract = "We address the problem of 3D medical volume reconstruction using web services. The use of proposed web services is motivated by the fact that the problem of 3D medical volume reconstruction requires significant computer resources and human expertise in medical and computer science areas. Web services were implemented as an additional layer to a dataflow framework called Data to Knowledge. In the collaboration between UIC and NCSA, pre-processed input images at NCSA were made accessible to medical collaborators for registration. Every time medical collaborators inspected images and selected corresponding features for registration, the web server at NCSA was contacted and the registration processing query was executed using the Image to Knowledge library of registration methods. Co-registered frames were returned for verification by medical collaborators in a new window. This paper presents 3D volume reconstruction problem requirements, architecture of the developed prototype system and the tradeoffs of our system design.",

author = "Rob Kooper and Andrew Shirk and Lee, {Sang Chul} and Amy Lin and Robert Folberg and Peter Bajcsy",

note = "Funding Information: This material is based upon work partially supported by the National Laboratory for Advanced Data Research (NLADR) and the National Institute of Health under Grant no. R01 EY10457. The on-going research is collaboration between the Department of Pathology, College of Medicine, University of Illinois at Chicago (UIC) and the Image Spatial Data Analysis Group, National Center for Supercomputing Applications (NCSA), University of Illinois at Urbana-Champaign (UIUC). We acknowledge NCSA/UIUC support of this work. ; 2005 IEEE International Conference on Web Services, ICWS 2005 ; Conference date: 11-07-2005 Through 15-07-2005",

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Kooper, R, Shirk, A, Lee, SC, Lin, A, Folberg, R & Bajcsy, P 2005, 3D medical volume reconstruction using web services. in Proceedings - 2005 IEEE International Conference on Web Services, ICWS 2005., 1530864, Proceedings - 2005 IEEE International Conference on Web Services, ICWS 2005, vol. 2005, pp. 709-716, 2005 IEEE International Conference on Web Services, ICWS 2005, Orlando, FL, United States, 11/07/05. https://doi.org/10.1109/ICWS.2005.1

3D medical volume reconstruction using web services. / Kooper, Rob; Shirk, Andrew; Lee, Sang Chul et al.
Proceedings - 2005 IEEE International Conference on Web Services, ICWS 2005. 2005. p. 709-716 1530864 (Proceedings - 2005 IEEE International Conference on Web Services, ICWS 2005; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Shirk, Andrew

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AU - Folberg, Robert

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N2 - We address the problem of 3D medical volume reconstruction using web services. The use of proposed web services is motivated by the fact that the problem of 3D medical volume reconstruction requires significant computer resources and human expertise in medical and computer science areas. Web services were implemented as an additional layer to a dataflow framework called Data to Knowledge. In the collaboration between UIC and NCSA, pre-processed input images at NCSA were made accessible to medical collaborators for registration. Every time medical collaborators inspected images and selected corresponding features for registration, the web server at NCSA was contacted and the registration processing query was executed using the Image to Knowledge library of registration methods. Co-registered frames were returned for verification by medical collaborators in a new window. This paper presents 3D volume reconstruction problem requirements, architecture of the developed prototype system and the tradeoffs of our system design.

AB - We address the problem of 3D medical volume reconstruction using web services. The use of proposed web services is motivated by the fact that the problem of 3D medical volume reconstruction requires significant computer resources and human expertise in medical and computer science areas. Web services were implemented as an additional layer to a dataflow framework called Data to Knowledge. In the collaboration between UIC and NCSA, pre-processed input images at NCSA were made accessible to medical collaborators for registration. Every time medical collaborators inspected images and selected corresponding features for registration, the web server at NCSA was contacted and the registration processing query was executed using the Image to Knowledge library of registration methods. Co-registered frames were returned for verification by medical collaborators in a new window. This paper presents 3D volume reconstruction problem requirements, architecture of the developed prototype system and the tradeoffs of our system design.

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ER -

3D medical volume reconstruction using web services

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