Feasibility of depth sensors to study breast deformation during mammography procedures

Virtual clinical trials (VCT) currently represent key tools for breast imaging optimisation, especially in two-dimensional planar mammography and digital breast tomosynthesis. Voxelised breast models are a crucial part of VCT as they allow the generation of synthetic image projections of breast tiss...

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Detalles Bibliográficos
Autores: Diaz Montesdeoca, Oliver, Oliver i Malagelada, Arnau, Ganau, Sergi, García Marcos, Eloy, Martí Bonmatí, Joan, Sentís, Melcior, Martí Marly, Robert
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2016
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10256/14467
Acceso en línea:http://hdl.handle.net/10256/14467
Access Level:acceso abierto
Palabra clave:Mama – Radiografia
Breast – Radiography
Imatgeria mèdica
Imaging systems in medicine
Mama -- Càncer -- Imatgeria
Breast -- Cancer -- Imaging
Assaigs clínics
Clinical trials
Descripción
Sumario:Virtual clinical trials (VCT) currently represent key tools for breast imaging optimisation, especially in two-dimensional planar mammography and digital breast tomosynthesis. Voxelised breast models are a crucial part of VCT as they allow the generation of synthetic image projections of breast tissue distribution. Therefore, realistic breast models containing an accurate representation of women breasts are needed. Current voxelised breast models show, in their compressed version, a very round contour which might not be representative of the entire population. This work pretends to develop an imaging framework, based on depth cameras, to investigate breast deformation during mammographic compression. Preliminary results show the feasibility of depth sensors for such task, however post-processing steps are needed to smooth the models. The proposed framework can be used in the future to produce more accurate compressed breast models, which will eventually generate more realistic images in VCT