iCube: A similarity-based data cube for medical images

Author

Annibal, Luana P. ; Felipe, Joaquim C. ; Ciferri, Cristina D A ; Ciferri, Ricardo R.

Author_Institution

Dept. of Comput. Sci., Fed. Univ. of Sao Carlos, São Carlos, Brazil

fYear

2010

Firstpage

321

Lastpage

326

Abstract

Issuing analytical (OLAP) similarity queries based on images over data warehouses is a core problem in the medical field, as these queries can allow for the investigation and analysis of health data in decision-making processes. In this paper, we propose iCube, a similarity-based data cube for medical images. iCube is an extended data warehouse that encompasses a dimension table specifically designed to store intrinsic features of images, therefore allowing OLAP similarity queries over images. We also show how to build iCube and how to perform OLAP query processing over images. Comparisons of iCube with the current data warehousing technology aided by a metric access method showed that iCube provided an impressive performance improvement to process OLAP similarity queries over images. iCube performance gain ranged from 43% up to 76.7%.

Keywords

computational geometry; data handling; data mining; data warehouses; medical image processing; query processing; OLAP query processing; analytical OLAP similarity queries; data warehousing technology; decision-making processes; health data analysis; iCube; medical images; similarity-based data cube; Biomedical imaging; Feature extraction; Hospitals; Image storage; Measurement; Query processing; Warehousing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Based Medical Systems (CBMS), 2010 IEEE 23rd International Symposium on

Conference_Location

Perth, WA

ISSN

1063-7125

Print_ISBN

978-1-4244-9167-4

Type

conf

DOI

10.1109/CBMS.2010.6042663

Filename

6042663