Survey and implementation of a database of knowledge to aid the diagnostic of breast images though visual inspection and comparison

Author(s)

Marcelo Ossamu Honda

• Document type: Master's Dissertation
• Press: São Carlos.
• Institution: Universidade de São Paulo (USP). Escola de Engenharia de São Carlos (EESC/SBD)
• Defense date: 2001-08-27

Examining board members

Annie France Frère Slaets; Adilson Gonzaga; Clovis Simão Trad

• Advisor: Paulo Mazzoncini de Azevedo Marques

Abstract

This work presents the survey and implementation of a database of knowledge to aid the diagnostic of breast lesions through visual inspection, allowing the physician a seach through the characteristics of the contents of the image and the visual comparison between the analysed image and the previously classified images and its clinical information. The images are classified into the database of knowledge according to the pattern Breast Imaging Reporting and Data Systems (BI-RADS) of the American College of Radiology. The selection of the images, the representative clinical information, as well as its classification have been performed in conjunction with practictioners radiologists of the Centro de Ciências das Imagens e Física Médica (CCIFM) from Faculdade de Medicina de Ribeirão Preto (FMRP) from Universidade de São Paulo (USP). The process of indexing and retrieving the images is based on characteristic of the texture extracted from the regions of interest (ROIs) previously established through scanned mammograms. To simplify this path, the Principal Components Analysis (PCA) was used it aims the reduction of the number of features of texture and the existing redundant information. The best results obtained were to the ROIs 139 (precision = 0.80), 59 (precision = 0.86) and a value of 100% of precision for ROI 40. (AU)