title: Optimization of Image Quality and Dose in Digital Mammography.
abstract: Nowadays, the optimization in digital mammography is one of the most important challenges in diagnostic radiology. The new digital technology has introduced additional elements to be considered in this scenario. A major goal of mammography is related to the detection of structures on the order of micrometers (μm) and the need to distinguish the different types of tissues, with very close density values. The diagnosis in mammography faces the difficulty that the breast tissues and pathological findings have very close linear attenuation coefficients within the energy range used in mammography. The aim of this study was to develop a methodology for optimizing exposure parameters of digital mammography based on a new Figure of Merit: FOM ≡ (IQFinv)2/AGD, considering the image quality and dose. The study was conducted using the digital mammography Senographe DS/GE, and CDMAM and TORMAM phantoms. The characterization of clinical practice, carried out in the mammography system under study, was performed considering different breast thicknesses, the technical parameters of exposure, and processing options of images used by the equipment's automatic exposure system. The results showed a difference between the values of the optimized parameters and those ones chosen by the automatic system of the mammography unit, specifically for small breast. The optimized exposure parameters showed better results than those obtained by the automatic system of the mammography, for the image quality parameters and its impact on detection of breast structures when analyzed by radiologists.
authors.affiliation: Departamento de Ciências Exatas e Tecnológicas-DCET/CPqCTR, Universidade Estadual de Santa Cruz, Ilhéus, Bahia, Brazil, CEP 45662-900. amffausto@uesc.br.
authors.forename: Agnes M F
authors.initials: AM
authors.lastname: Fausto
authors.affiliation: IPOCFG, E.P.E., Serviço de Física Médica, Coimbra, Portugal.|Departamento de Física, I3N, Universidade de Aveiro, Aveiro, Portugal.
authors.forename: M C
authors.initials: MC
authors.lastname: Lopes
authors.affiliation: IPOCFG, E.P.E., Serviço de Física Médica, Coimbra, Portugal.
authors.forename: M C
authors.initials: MC
authors.lastname: de Sousa
authors.affiliation: Instituto de Física, Laboratório de Dosimetria, Universidade de São Paulo-USP, São Paulo, Brazil.
authors.forename: Tânia A C
authors.initials: TA
authors.lastname: Furquim
authors.affiliation: Departamento de Ciências Exatas e Tecnológicas-DCET/CPqCTR, Universidade Estadual de Santa Cruz, Ilhéus, Bahia, Brazil, CEP 45662-900.
authors.forename: Anderson W
authors.initials: AW
authors.lastname: Mol
authors.affiliation: Departamento de Ciências Exatas e Tecnológicas-DCET/CPqCTR, Universidade Estadual de Santa Cruz, Ilhéus, Bahia, Brazil, CEP 45662-900.
authors.forename: Fermin G
authors.initials: FG
authors.lastname: Velasco
mesh_terms: D000328:Adult; D001940:Breast / Q000033:anatomy & histology / Q000000981:diagnostic imaging*; D005260:Female; D006801:Humans; D008327:Mammography / Q000379:methods / Q000592:standards*; D008875:Middle Aged; D009929:Organ Size; D019047:Phantoms, Imaging; D011829:Radiation Dosage; D011856:Radiographic Image Enhancement
keywords: CDMAM; Contrast-detail analysis; Digital mammography; Figure of merit; Image quality; Optimization; TORMAM