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

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Ünay, Devrim and Chen, Xiaojing and Erçil, Aytül and Çetin, Müjdat and Jasinschi, Radu and van Buchem, Mark A. and Ekin, Ahmet (2009) Binary and nonbinary description of hypointensity for search and retrieval of brain MR images. In: IS&T/SPIE Electronic Imaging, Multimedia Content Access: Algorithms and Systems III, San Jose, California, USA

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Official URL: http://dx.doi.org/10.1117/12.806234


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.

Item Type:Papers in Conference Proceedings
Uncontrolled Keywords:search and retrieval in medical databases, Kendall's rank correlation coe±cient, brain MR image analysis, brain iron deposition, hypointense features, principal component analysis, shape-based brain structure detection, segmentation, neurodegenerative diseases
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
ID Code:13265
Deposited By:Müjdat Çetin
Deposited On:04 Dec 2009 11:35
Last Modified:22 May 2019 12:26

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