A cross-cutting approach for tracking architectural distortion locii on digital breast tomosynthesis slices

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Arquivos
art_OLIVEIRA_A_crosscutting_approach_for_tracking_architectural_distortion_locii_2019.PDF (2.8 MB)
Citações na Scopus
7
Tipo de produção
article
Data de publicação
2019
DOI
Scopus
Web of Science
Título da Revista
ISSN da Revista
Título do Volume
Editora
ELSEVIER SCI LTD
Autores
OLIVEIRA, Helder C. R. de
MENCATTINI, Arianna
CASTI, Paola
GONZAGA, Adilson
MARTINELLI, Eugenio
VIEIRA, Marcelo A. da Costa
Citação
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, v.50, p.92-102, 2019
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
Background and objective: Full-field digital mammography (FFDM) is the predominant breast cancer screening exam used. However, with the emergence of digital breast tomosynthesis (DBT) the radiologists could improve early recognition of breast cancer signs. In this scenario, the detection of architectural distortion (AD) is still a challenging task. ADs are very subtle contraction of the breast parenchyma that could represent the earliest manifestation of cancer, assessing at present 50% of missed cases. Methods: This paper proposes a new paradigm to detect AD in DBT exams by a cross-cutting approach exploiting the 3-dimensionality of the imaging modality. After locating AD candidates in each DBT slice, the suspicious spots are tracked in cross-slice direction and then characterized in terms of neighboring texture. In this approach, which mimics radiologist's scrolling down over zoomed slices, we reduce the amount of uninformative signs collected in DBT exams by preserving the large variability of AD appearance. Results: Using 37 sets of DBT slices containing at least one AD locus indicated by a radiologist, the proposed methodology reaches an AUC of 0.84, with only one false negative exam at sensitivity of 0.9. Conclusions: The results show that the proposed algorithm can be a promising tool for the automatic detection of AD locii. Future work will address the extension of the dataset of DBT slices as well the improvement of algorithm performance toward the application in the clinical practice. (C) 2019 Published by Elsevier Ltd.
Palavras-chave
Architectural distortion, Digital breast tomosynthesis, Breast cancer, Computer aided detection, Gabor filter, Cell tracking
URI
https://observatorio.fm.usp.br/handle/OPI/31687
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Coleções
Artigos e Materiais de Revistas Científicas - FM/MDR
Artigos e Materiais de Revistas Científicas - HC/InRad
Artigos e Materiais de Revistas Científicas - LIM/44
Artigos e Materiais de Revistas Científicas - ODS/03