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Content­based 3D Neuroradiologic Image Indexing and Retrieval: Preliminary Results
Y. Liu, W.E. Rothfus, and T. Kanade
tech. report CMU-RI-TR-98-04, Robotics Institute, Carnegie Mellon University, 1998.

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Abstract

A content­based 3D neuroradiologic image retrieval system is being developed at the Robotics Institute of CMU. The special characteristics of this system include: 1) directly dealing with multimodal 3D images (MR/CT); 2) image similarity based on anatomical structures of the human brain; 3) combining both visual and collateral information for indexing and retrieval. A testbed has been implemented for using detected salient visual features for indexing and retrieving 3D images.

Notes

Sponsor: Allegheny­Singer Research Institute
Grant ID: NIST#70NANB5H1183

Associated centers: VASC and MRTC
Associated labs/groups: Biomedical Image Analysis, Computational Symmetry, and Medical Robotics and Computer Assisted Surgery
Associated project: A Statistical Quantification of Human Brain Asymmetry

Text Reference

Y. Liu, W.E. Rothfus, and T. Kanade, Content­based 3D Neuroradiologic Image Indexing and Retrieval: Preliminary Results, tech. report CMU-RI-TR-98-04, Robotics Institute, Carnegie Mellon University, 1998.

BibTeX Reference

@techreport{Liu_1998_473,
   author = "Yanxi Liu and William E. Rothfus and Takeo Kanade",
   title = "Content­based 3D Neuroradiologic Image Indexing and Retrieval: Preliminary Results",
   institution = "Robotics Institute, Carnegie Mellon University",
   year = "1998",
   number = "CMU-RI-TR-98-04",
   address = "Pittsburgh, PA"
}