Binary and nonbinary description of hypointensity for search and retrieval of brain MR images

Devrim Unay; Xiaojing Chen; Aytul Ercil; Mujdat Cetin; Radu Jasinschi; Marc A. van Buchem; Ahmet Ekin

doi:10.1117/12.806234

19 January 2009 Binary and nonbinary description of hypointensity for search and retrieval of brain MR images

Devrim Unay, Xiaojing Chen, Aytul Ercil, Mujdat Cetin, Radu Jasinschi, Marc A. van Buchem, Ahmet Ekin

Proceedings Volume 7255, Multimedia Content Access: Algorithms and Systems III; 72550I (2009) https://doi.org/10.1117/12.806234
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

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.

Citation Download Citation

Devrim Unay, Xiaojing Chen, Aytul Ercil, Mujdat Cetin, Radu Jasinschi, Marc A. van Buchem, and Ahmet Ekin "Binary and nonbinary description of hypointensity for search and retrieval of brain MR images", Proc. SPIE 7255, Multimedia Content Access: Algorithms and Systems III, 72550I (19 January 2009); https://doi.org/10.1117/12.806234

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