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Diagnostic Enhancement of Screening Mammograms by Means of Local Texture Models

SYSNO ASEP	0305410
Document Type	V - Research Report
R&D Document Type	The record was not marked in the RIV
Title	Diagnostic Enhancement of Screening Mammograms by Means of Local Texture Models
Title	Diagnostické vyhodnocování screeningových mamogramů pomocí lokálních texturních modelů
Author(s)	Grim, Jiří (UTIA-B)_{RID, ORCID} Somol, Petr (UTIA-B)_RID
Issue data	Praha: ÚTIA AV ČR, 2008
Series	Research Report
Series number	2217
Number of pages	23 s.
Language	eng - English
Country	CZ - Czech Republic
Keywords	Distribution mixtures ; Screening Mammography ; Local Statistical Models ; Computer assisted screening and diagnosis ; Visualization of biomedical data
Subject RIV	IN - Informatics, Computer Science
R&D Projects	1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
	2C06019 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
CEZ	AV0Z10750506 - UTIA-B (2005-2011)
Annotation	We propose statistically based preprocessing of screening mammograms with the aim to emphasize suspicious areas. We estimate the local statistical texture model of a single mammogram in the form of multivariate Gaussian mixture. The probability density is estimated from the data obtained by pixelwise scanning of the mammogram with the search window. In the second phase, we evaluate the estimated density at each position of the window and display the corresponding log-likelihood value as a gray level at the window center. Light gray levels correspond to the typical parts of the image and the dark values reflect unusual places. The resulting log-likelihood image exactly correlates with the structural details of the original mammogram, emphasizes locations of similar properties by contour lines and may provide additional information to facilitate diagnostic interpretation.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2008

Number of the records: 1