Content-based 3D Neuroradiologic Image Indexing and Retrieval: Preliminary Results

摘要

A content-based 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. 1 Introduction On-line image data is expanding rapidly in quantity, content and dimension. Existing "contentbased " image retrieval systems, for example [7, 9, 23, 25, 22, 8], depend on general visual properties such as color and texture to classify diverse, two-dimensional (2D) images, thus are not truly content-based nor suitable for handling three-dimensional (3D) volumetric images. Furthermore, the difference of image sets taken within a single domain where the images all appear similar, differing only thr...