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Proceedings Paper

Binary and nonbinary description of hypointensity for search and retrieval of brain MR images
Author(s): Devrim Unay; Xiaojing Chen; Aytul Ercil; Mujdat Cetin; Radu Jasinschi; Marc A. van Buchem; Ahmet Ekin
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Paper Abstract

Diagnosis accuracy in the medical field, is mainly affected by either lack of sufficient understanding of some diseases or the inter/intra-observer variability of the diagnoses. We believe that mining of large medical databases can help improve the current status of disease understanding and decision making. In a previous study based on binary description of hypointensity in the brain, it was shown that brain iron accumulation shape provides additional information to the shape-insensitive features, such as the total brain iron load, that are commonly used in clinics. This paper proposes a novel, nonbinary description of hypointensity in the brain based on principal component analysis. We compare the complementary and redundant information provided by the two descriptions using Kendall's rank correlation coefficient in order to better understand the individual descriptions of iron accumulation in the brain and obtain a more robust and accurate search and retrieval system.

Paper Details

Date Published: 19 January 2009
PDF: 12 pages
Proc. SPIE 7255, Multimedia Content Access: Algorithms and Systems III, 72550I (19 January 2009); doi: 10.1117/12.806234
Show Author Affiliations
Devrim Unay, Philips Research (Netherlands)
Xiaojing Chen, Leiden Univ. (Netherlands)
Aytul Ercil, Sabanci Univ. (Turkey)
Mujdat Cetin, Sabanci Univ. (Turkey)
Radu Jasinschi, Philips Research (Netherlands)
Marc A. van Buchem, Leiden Univ. Medical Center (Netherlands)
Ahmet Ekin, Philips Research (Netherlands)

Published in SPIE Proceedings Vol. 7255:
Multimedia Content Access: Algorithms and Systems III
Raimondo Schettini; Ramesh C. Jain; Simone Santini, Editor(s)

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