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Reference TypeConference Proceedings
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPAW/3S3D9HP
Repositorysid.inpe.br/sibgrapi/2018/10.17.13.29
Last Update2018:10.17.13.29.38 lucas.rodrigues.borges@usp.br
Metadatasid.inpe.br/sibgrapi/2018/10.17.13.29.38
Metadata Last Update2020:02.20.22.06.50 administrator
Citation KeyBorges:2018:DoSaDi
TitleDose Savings in Digital Breast Tomosynthesis through Image Processing
FormatOn-line
Year2018
DateOct. 29 - Nov. 1, 2018
Access Date2020, Dec. 02
Number of Files1
Size118 KiB
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AuthorBorges, Lucas R.
AffiliationEscola de Engenharia de São Carlos, EESC, USP
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
e-Mail Addresslucas.rodrigues.borges@usp.br
Conference NameConference on Graphics, Patterns and Images, 31 (SIBGRAPI)
Conference LocationFoz do Iguaçu, PR, Brazil
Book TitleProceedings
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
History2018-10-17 13:29:38 :: lucas.rodrigues.borges@usp.br -> administrator ::
2020-02-20 22:06:50 :: administrator -> :: 2018
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Is the master or a copy?is the master
Document Stagecompleted
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Transferable1
Tertiary TypeMaster's or Doctoral Work
KeywordsDigital breast tomosynthesis, dose reduction, image processing, denoising.
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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Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3RPADUS
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