Classification of breast computed tomography data

Differences in breast tissue composition are important determinants in assessing risk, identifying disease in images and following changes over time. This paper presents an algorithm for tissue classification that separates breast tissue into its three primary constituents of skin, fat and glandular...

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Veröffentlicht in:	Medical physics (Lancaster) 2008-03, Vol.35 (3), p.1078-1086
Hauptverfasser:	Nelson, Thomas R., Cerviño, Laura I., Boone, John M., Lindfors, Karen K.
Format:	Artikel
Sprache:	eng
Schlagworte:	ALGORITHMS BIOCHEMISTRY biological organs biological tissues BIOMEDICAL RADIOGRAPHY breast Breast - anatomy & histology Cancer CARCINOMAS classification Computed tomography computerised tomography COMPUTERIZED TOMOGRAPHY FATS Female Film mammography GAUSSIAN PROCESSES General statistical methods Humans image classification IMAGE PROCESSING image segmentation information filtering MAMMARY GLANDS Mammography median filters Medical image noise medical image processing Medical image quality Medical imaging Middle Aged PATIENTS Radiologists RADIOLOGY AND NUCLEAR MEDICINE Reproducibility of Results Risk Segmentation SKIN Time Factors Tissues Tomography, X-Ray Computed
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