Reference TypeConference Proceedings
Citation KeyBorgesViei:2018:DoSaDi
Author1 Borges, Lucas Rodrigues
2 Vieira, Marcelo Andrade da Costa
Affiliation1 Escola de Engenharia de São Carlos
2 Escola de Engenharia de São Carlos
TitleDose Savings in Digital Breast Tomosynthesis through Image Processing
Conference NameConference on Graphics, Patterns and Images, 31 (SIBGRAPI)
EditorRoss, Arun
Gastal, Eduardo S. L.
Jorge, Joaquim A.
Queiroz, Ricardo L. de
Minetto, Rodrigo
Sarkar, Sudeep
Papa, João Paulo
Oliveira, Manuel M.
Arbeláez, Pablo
Mery, Domingo
Oliveira, Maria Cristina Ferreira de
Spina, Thiago Vallin
Mendes, Caroline Mazetto
Costa, Henrique Sérgio Gutierrez
Mejail, Marta Estela
Geus, Klaus de
Scheer, Sergio
Book TitleProceedings
DateOct. 29 - Nov. 1, 2018
Publisher CityPorto Alegre
PublisherSociedade Brasileira de Computação
Conference LocationFoz do Iguaçu, PR, Brazil
KeywordsDenoising, noise model, restoration, dose reduction, digital mammography.
AbstractIn 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.
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