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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A similarity-based data warehousing environment for medical images

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Teixeira, Jefferson William [1] ; Annibal, Luana Peixoto [2] ; Felipe, Joaquim Cezar [3] ; Ciferri, Ricardo Rodrigues [2] ; de Aguiar Ciferri, Cristina Dutra [1]
Total Authors: 5
[1] Univ Sao Paulo Sao Carlos, Dept Comp Sci, BR-13560970 Sao Carlos, SP - Brazil
[2] Univ Fed Sao Carlos, Dept Comp Sci, BR-13565905 Sao Carlos, SP - Brazil
[3] Univ Sao Paulo, Dept Comp & Math, BR-14040901 Ribeirao Preto, SP - Brazil
Total Affiliations: 3
Document type: Journal article
Source: COMPUTERS IN BIOLOGY AND MEDICINE; v. 66, p. 190-208, NOV 1 2015.
Web of Science Citations: 1

A core issue of the decision-making process in the medical field is to support the execution of analytical (OLAP) similarity queries over images in data warehousing environments. In this paper, we focus on this issue. We propose imageDWE, a non-conventional data warehousing environment that enables the storage of intrinsic features taken from medical images in a data warehouse and supports OLAP similarity queries over them. To comply with this goal, we introduce the concept of perceptual layer, which is an abstraction used to represent an image dataset according to a given feature descriptor in order to enable similarity search. Based on this concept, we propose the imageDW, an extended data warehouse with dimension tables specifically designed to support one or more perceptual layers. We also detail how to build an imageDW and how to load image data into it. Furthermore, we show how to process OLAP similarity queries composed of a conventional predicate and a similarity search predicate that encompasses the specification of one or more perceptual layers. Moreover, we introduce an index technique to improve the OLAP query processing over images. We carried out performance tests over a data warehouse environment that consolidated medical images from exams of several modalities. The results demonstrated the feasibility and efficiency of our proposed imageDWE to manage images and to process OLAP similarity queries. The results also demonstrated that the use of the proposed index technique guaranteed a great improvement in query processing. (C) 2015 Elsevier Ltd. All rights reserved. (AU)

FAPESP's process: 12/14469-8 - ImageDW-index: indexing image data warehouses
Grantee:Jefferson William Teixeira
Support type: Scholarships in Brazil - Master
FAPESP's process: 11/23904-7 - Processing of OLAP queries extended with image similarity predicates and spatial predicates over non-conventional data warehouses
Grantee:Cristina Dutra de Aguiar Ciferri
Support type: Regular Research Grants