@InProceedings{Borges:2018:DoSaDi,
author = "Borges, Lucas R.",
affiliation = "Escola de Engenharia de S{\~a}o Carlos, EESC, USP",
title = "Dose Savings in Digital Breast Tomosynthesis through Image
Processing",
booktitle = "Proceedings...",
year = "2018",
editor = "Ross, Arun and Gastal, Eduardo S. L. and Jorge, Joaquim A. and
Queiroz, Ricardo L. de and Minetto, Rodrigo and Sarkar, Sudeep and
Papa, Jo{\~a}o Paulo and Oliveira, Manuel M. and Arbel{\'a}ez,
Pablo and Mery, Domingo and Oliveira, Maria Cristina Ferreira de
and Spina, Thiago Vallin and Mendes, Caroline Mazetto and Costa,
Henrique S{\'e}rgio Gutierrez and Mejail, Marta Estela and Geus,
Klaus de and Scheer, Sergio",
organization = "Conference on Graphics, Patterns and Images, 31. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "Digital breast tomosynthesis, dose reduction, image processing,
denoising.",
abstract = "In x-ray imaging, the ALARA principle defines that the x-ray
radiation must be kept as low as reasonably achievable to ensure
the patients safety. However, low-dose acquisitions yield images
with low quality, which affect the radiologists image
interpretation. Therefore, there is a compromise between image
quality and radiation dose. This work proposes an image
restoration framework capable of restoring low-dose acquisitions
to achieve the quality of full-dose acquisitions. The contribution
of the new method includes the capability of restoring images with
quantum and electronic noise, pixel offset and variable detector
gain. To validate the image processing chain, a simulation
algorithm was proposed. The simulation generates low-dose digital
breast tomosynthesis (DBT) projections, starting from full-dose
images. To investigate the feasibility of reducing the radiation
dose in breast cancer screening programs, a simulated pre-clinical
trial was conducted using the simulation and the image processing
pipeline proposed in this work. Objective and subjective results
suggest that reduction of 30% - 50% in radiation dose could be
achieved after the proposed image processing pipeline was applied.
Thus, the image processing algorithm has the potential to decrease
radiation levels in DBT, also decreasing the cancer induction
risks associated with the exam.",
conference-location = "Foz do Igua{\c{c}}u, PR, Brazil",
conference-year = "29 Oct.-1 Nov. 2018",
language = "en",
ibi = "8JMKD3MGPAW/3S3D9HP",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3S3D9HP",
targetfile = "Submission_Lucas_30_07.pdf",
urlaccessdate = "2024, May 01"
}