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Title: Spatial recurrence analysis: A sensitive and fast detection tool in digital mammography

Efficient diagnostics of breast cancer requires fast digital mammographic image processing. Many breast lesions, both benign and malignant, are barely visible to the untrained eye and requires accurate and reliable methods of image processing. We propose a new method of digital mammographic image analysis that meets both needs. It uses the concept of spatial recurrence as the basis of a spatial recurrence quantification analysis, which is the spatial extension of the well-known time recurrence analysis. The recurrence-based quantifiers are able to evidence breast lesions in a way as good as the best standard image processing methods available, but with a better control over the spurious fragments in the image.
Authors:
; ; ;  [1]
  1. Departamento de Física, Universidade Federal do Paraná, 81531-990 Curitiba, Paraná (Brazil)
Publication Date:
OSTI Identifier:
22251684
Resource Type:
Journal Article
Resource Relation:
Journal Name: Chaos (Woodbury, N. Y.); Journal Volume: 24; Journal Issue: 1; Other Information: (c) 2014 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
62 RADIOLOGY AND NUCLEAR MEDICINE; BASES; BIOMEDICAL RADIOGRAPHY; CONTROL; DETECTION; IMAGE PROCESSING; IMAGES; MAMMARY GLANDS; NEOPLASMS