Fast Detection of Convergence Areas in Digital Breast Tomosynthesis

In this paper we propose a fast method to detect spiculated lesions and architectural distortions in Digital Breast Tomosynthesis datasets. This approach relies on an a contrario modeling of the problem. First, an indicator corresponding to the convergence of structures is defined, then the a contrario framework is used to set a threshold on it in order to detect zones where its value is unlikely. We propose, as a main contribution of this paper, a fast algorithm to implement this method, which significantly reduces its computational cost. The method was evaluated on 38 breasts (10 containing a le

• Type: Conference
• Year: 2009
• Where: ISBI
• Authors: Giovanni Palma, Serge Muller, Isabelle Bloch, Razvan Iordache
• Keywords: Architectural Distortions, Breast Tomosynthesis Datasets, Fast Method, ISBI 2009, Medical Imaging