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Optimization of the exposure parameters in digital mammography: experimental and simulation studies

Grant number: 16/15366-9
Support Opportunities:Scholarships in Brazil - Master
Effective date (Start): January 01, 2017
Effective date (End): February 28, 2018
Field of knowledge:Health Sciences - Medicine - Medical Radiology
Acordo de Cooperação: Coordination of Improvement of Higher Education Personnel (CAPES)
Principal Investigator:Alessandra Tomal
Grantee:Rodrigo Trevisan Massera
Host Institution: Instituto de Física Gleb Wataghin (IFGW). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil


Breast cancer is the most common cancer among women, being most responsible for mortality in this population. Mammography is currently the most widely used technique for the early detection of breast cancer. Currently, recent advances indevelopment of digital imaging systems have allowed an improvement in sensitivity of the mammography.This project intent to study the optimal exposure conditions for the examination of digital mammography based on acquisition of medical imaging and dosimetry studies. In order to make this possible, the study will be performed using two approaches: an experimental, based on acquisition of digital images obtained by medical equipment using breast phantoms (for different compositions), and a theoretical part, developed through Monte Carlo simulation to find new settings and new exposure parameters that could be used in digital mammography exams.The results of this work will contribute to the identification of conditions in which they can improve the quality of the image obtained with the lowest dose, to reduce the risk associated with patient exposure to ionizing radiation and their results will be proposed to optimize mammograms in real patients . (AU)

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Scientific publications (4)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
MASSERA, RODRIGO T.; THOMSON, ROWAN M.; TOMAL, ALESSANDRA. Technical note: MC-GPU breast dosimetry validations with other Monte Carlo codes and phase space file implementation. Medical Physics, v. 49, n. 1, . (18/05982-0, 15/21873-8, 16/15366-9)
MASSERA, RODRIGO T.; FERNANDEZ-VAREA, JOSE M.; TOMAL, ALESSANDRA. Impact of photoelectric cross section data on systematic uncertainties for Monte Carlo breast dosimetry in mammography. Physics in Medicine and Biology, v. 66, n. 11, . (16/15366-9, 15/21873-8)
MASSERA, RODRIGO TREVISAN; TOMAL, ALESSANDRA. Skin models and their impact on mean glandular dose in mammography. PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, v. 51, p. 38-47, . (16/15366-9, 15/21873-8)
TREVISAN MASSERA, RODRIGO; TOMAL, ALESSANDRA. Estimation of glandular dose in mammography based on artificial neural networks. Physics in Medicine and Biology, v. 65, n. 9, . (16/15366-9, 15/21873-8)
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
MASSERA, Rodrigo Trevisan. Optimization of exposure parameters in digital mammography: experimental studies and Monte Carlo simulation. 2018. Master's Dissertation - Universidade Estadual de Campinas (UNICAMP). Instituto de Física Gleb Wataghin Campinas, SP.

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