Content-based image database system for epilepsy

Siadat, MR

doi:10.1016/j.cmpb.2005.03.012

2005-09-01

PRE

Siadat, MR

Hamid Soltanian‐Zadeh

Farshad Fotouhi

Kost Elisevich

DOI：10.1016/j.cmpb.2005.03.012

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摘要

En 中文

We have designed and implemented a human brain multi-modality database system with content-based image management, navigation and retrieval support for epilepsy. The system consists of several modules including a database backbone, brain structure identification and localization, segmentation, registration, visual feature extraction, clustering/classification and query modules. Our newly developed anatomical landmark localization and brain structure identification method facilitates navigation through an image data and extracts useful information for segmentation, registration and query modules. The database stores T1-, T2-weighted and FLAIR MRI and ictal/interictal SPECT modalities with associated clinical data. We confine the visual feature extractors within anatomical structures to support semantically rich content-based procedures. The proposed system serves as a research tool to evaluate a vast number of hypotheses regarding the condition such as resection of the hippocampus with a relatively small volume and high average signal intensity on FLAIR. Once the database is populated, using data mining tools, partially invisible correlations between different modalities of data, modeled in database schema, can be discovered. The design and implementation aspects of the proposed system are the main focus of this paper. (c) 2005 Elsevier Ireland Ltd. All rights reserved.

Keyword:

content-based image retrieval (CBIR)

brain structure localization

segmentation

image database systems

epilepsy

期刊

Computer Methods and Programs in Biomedicine

IF:

4.8

论文数:

6.9K

被引数:

2.1W

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