Automated Quality Assurance Applied to Mammographic Imaging

Lilian Blot; Anne Davis; Mike Holubinka; Robert Martí; Reyer Zwiggelaar

doi:10.1155/S1110865702203029

Automated Quality Assurance Applied to Mammographic Imaging

Lilian Blot, Anne Davis, Mike Holubinka, Robert Martí, Reyer Zwiggelaar

Department of Computer Science

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

Quality control in mammography is based upon subjective interpretation of the image quality of a test phantom. In order to suppress subjectivity due to the human observer, automated computer analysis of the Leeds TOR(MAM) test phantom is investigated. Texture analysis via grey-level co-occurrence matrices is used to detect structures in the test object. Scoring of the substructures in the phantom is based on grey-level differences between regions and information from grey-level co-occurrence matrices. The results from scoring groups of particles within the phantom are presented.

Original language	English
Pages (from-to)	736-745
Number of pages	10
Journal	EURASIP Journal of Applied Signal Processing
Volume	7
DOIs	https://doi.org/10.1155/S1110865702203029
Publication status	Published - 24 Jul 2002

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title = "Automated Quality Assurance Applied to Mammographic Imaging",

abstract = "Quality control in mammography is based upon subjective interpretation of the image quality of a test phantom. In order to suppress subjectivity due to the human observer, automated computer analysis of the Leeds TOR(MAM) test phantom is investigated. Texture analysis via grey-level co-occurrence matrices is used to detect structures in the test object. Scoring of the substructures in the phantom is based on grey-level differences between regions and information from grey-level co-occurrence matrices. The results from scoring groups of particles within the phantom are presented.",

author = "Lilian Blot and Anne Davis and Mike Holubinka and Robert Mart{\'i} and Reyer Zwiggelaar",

note = "L. Blot, A. Davis, M. Holubinka, R. Marti and R. Zwiggelaar, 'Automated quality assurance applied to mammographic imaging', EURASIP Journal of Applied Signal Processing 2002 (7), 736-745 (2002)",

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T1 - Automated Quality Assurance Applied to Mammographic Imaging

AU - Blot, Lilian

AU - Davis, Anne

AU - Holubinka, Mike

AU - Martí, Robert

AU - Zwiggelaar, Reyer

N1 - L. Blot, A. Davis, M. Holubinka, R. Marti and R. Zwiggelaar, 'Automated quality assurance applied to mammographic imaging', EURASIP Journal of Applied Signal Processing 2002 (7), 736-745 (2002)

PY - 2002/7/24

Y1 - 2002/7/24

N2 - Quality control in mammography is based upon subjective interpretation of the image quality of a test phantom. In order to suppress subjectivity due to the human observer, automated computer analysis of the Leeds TOR(MAM) test phantom is investigated. Texture analysis via grey-level co-occurrence matrices is used to detect structures in the test object. Scoring of the substructures in the phantom is based on grey-level differences between regions and information from grey-level co-occurrence matrices. The results from scoring groups of particles within the phantom are presented.

AB - Quality control in mammography is based upon subjective interpretation of the image quality of a test phantom. In order to suppress subjectivity due to the human observer, automated computer analysis of the Leeds TOR(MAM) test phantom is investigated. Texture analysis via grey-level co-occurrence matrices is used to detect structures in the test object. Scoring of the substructures in the phantom is based on grey-level differences between regions and information from grey-level co-occurrence matrices. The results from scoring groups of particles within the phantom are presented.

UR - http://hdl.handle.net/2160/527

U2 - 10.1155/S1110865702203029

DO - 10.1155/S1110865702203029

M3 - Article

SN - 1687-6180

VL - 7

SP - 736

EP - 745

JO - EURASIP Journal of Applied Signal Processing

JF - EURASIP Journal of Applied Signal Processing

ER -

Automated Quality Assurance Applied to Mammographic Imaging

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