Multimedia human brain database system for surgical candidacy determination in temporal lobe epilepsy with content-based image retrieval

Mohammad-Reza Siadat; Hamid Soltanian-Zadeh; Farshad A. Fotouhi; Kost Elisevich

doi:10.1117/12.476296

10 January 2003 Multimedia human brain database system for surgical candidacy determination in temporal lobe epilepsy with content-based image retrieval

Mohammad-Reza Siadat, Hamid Soltanian-Zadeh, Farshad A. Fotouhi, Kost Elisevich

Author Affiliations +

Proceedings Volume 5021, Storage and Retrieval for Media Databases 2003; (2003) https://doi.org/10.1117/12.476296
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

Abstract

This paper presents the development of a human brain multimedia database for surgical candidacy determination in temporal lobe epilepsy. The focus of the paper is on content-based image management, navigation and retrieval. Several medical image-processing methods including our newly developed segmentation method are utilized for information extraction/correlation and indexing. The input data includes T1-, T2-Weighted MRI and FLAIR MRI and ictal and interictal SPECT modalities with associated clinical data and EEG data analysis. The database can answer queries regarding issues such as the correlation between the attribute X of the entity Y and the outcome of a temporal lobe epilepsy surgery. The entity Y can be a brain anatomical structure such as the hippocampus. The attribute X can be either a functionality feature of the anatomical structure Y, calculated with SPECT modalities, such as signal average, or a volumetric/morphological feature of the entity Y such as volume or average curvature. The outcome of the surgery can be any surgery assessment such as memory quotient. A determination is made regarding surgical candidacy by analysis of both textual and image data. The current database system suggests a surgical determination for the cases with relatively small hippocampus and high signal intensity average on FLAIR images within the hippocampus. This indication pretty much fits with the surgeons’ expectations/observations. Moreover, as the database gets more populated with patient profiles and individual surgical outcomes, using data mining methods one may discover partially invisible correlations between the contents of different modalities of data and the outcome of the surgery.

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Mohammad-Reza Siadat, Hamid Soltanian-Zadeh, Farshad A. Fotouhi, and Kost Elisevich "Multimedia human brain database system for surgical candidacy determination in temporal lobe epilepsy with content-based image retrieval", Proc. SPIE 5021, Storage and Retrieval for Media Databases 2003, (10 January 2003); https://doi.org/10.1117/12.476296

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KEYWORDS

Image segmentation

Databases

3D modeling

Brain

Data modeling

Feature extraction

Epilepsy

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