A New Spatially Adaptive TV Regularization for Digital Breast Tomosynthesis - Archive ouverte HAL
Communication Dans Un Congrès Année : 2020

A New Spatially Adaptive TV Regularization for Digital Breast Tomosynthesis

Résumé

Digital breast tomosynthesis images provide volumetric morphological information of the breast helping physicians to detect malign lesions. In this work, we propose a new spatially adaptive total variation (SATV) regularization function allowing to preserve adequately the shape of small objects such as microcalcifications while ensuring a high quality restoration of the background tissues. First, an original formulation for the weighted gradient field is introduced, that efficiently incorporates prior knowledge on the location of small objects. Then, we derive our SATV regularization, and integrate it in a novel 3D reconstruction approach for DBT. Experimental results carried out on both phantom and clinical data show the great interest of our method for the recovery of DBT volumes showing small lesions.
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Dates et versions

hal-03066217 , version 1 (15-12-2020)

Identifiants

  • HAL Id : hal-03066217 , version 1

Citer

Maissa Sghaier, Emilie Chouzenoux, Jean-Christophe Pesquet, Serge Muller. A New Spatially Adaptive TV Regularization for Digital Breast Tomosynthesis. ISBI 2020 - International Symposium on Biomedical Imaging, Apr 2020, Iowa City, United States. ⟨hal-03066217⟩
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