TY - GEN
T1 - 3D medical volume reconstruction using web services
AU - Kooper, Rob
AU - Shirk, Andrew
AU - Lee, Sang Chul
AU - Lin, Amy
AU - Folberg, Robert
AU - Bajcsy, Peter
N1 - 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.
PY - 2005
Y1 - 2005
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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U2 - 10.1109/ICWS.2005.1
DO - 10.1109/ICWS.2005.1
M3 - Conference contribution
AN - SCOPUS:33645213096
SN - 0769524095
SN - 9780769524092
T3 - Proceedings - 2005 IEEE International Conference on Web Services, ICWS 2005
SP - 709
EP - 716
BT - Proceedings - 2005 IEEE International Conference on Web Services, ICWS 2005
T2 - 2005 IEEE International Conference on Web Services, ICWS 2005
Y2 - 11 July 2005 through 15 July 2005
ER -