Cargando…
New reconstruction algorithm for digital breast tomosynthesis: better image quality for humans and computers
BACKGROUND: The image quality of digital breast tomosynthesis (DBT) volumes depends greatly on the reconstruction algorithm. PURPOSE: To compare two DBT reconstruction algorithms used by the Siemens Mammomat Inspiration system, filtered back projection (FBP), and FBP with iterative optimizations (EM...
Autores principales: | Rodriguez-Ruiz, Alejandro, Teuwen, Jonas, Vreemann, Suzan, Bouwman, Ramona W, van Engen, Ruben E, Karssemeijer, Nico, Mann, Ritse M, Gubern-Merida, Albert, Sechopoulos, Ioannis |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6088454/ https://www.ncbi.nlm.nih.gov/pubmed/29254355 http://dx.doi.org/10.1177/0284185117748487 |
Ejemplares similares
-
Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study
por: van Winkel, Suzanne L., et al.
Publicado: (2021) -
One-view digital breast tomosynthesis as a stand-alone modality for breast cancer detection: do we need more?
por: Rodriguez-Ruiz, Alejandro, et al.
Publicado: (2017) -
The correlation of background parenchymal enhancement in the contralateral breast with patient and tumor characteristics of MRI-screen detected breast cancers
por: Vreemann, Suzan, et al.
Publicado: (2018) -
Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study
por: Rodriguez-Ruiz, Alejandro, et al.
Publicado: (2019) -
Amount of fibroglandular tissue FGT and background parenchymal enhancement BPE in relation to breast cancer risk and false positives in a breast MRI screening program: A retrospective cohort study
por: Vreemann, Suzan, et al.
Publicado: (2019)