Examples of image segmentation and registration methods for medical and agronomic applications

Taha Jerbi is currently applying for a post-doc position at IBC on WP4: Integrating cell and tissue imaging with Omics data (Imaging). He is currently at the Université Catholique de Louvain, Belgium, working on imaging techniques to detect water stress in plants in Xavier Draye’s lab (https://www.uclouvain.be/en-30461.html). He will present his previous work in a talk on Monday 25th, room 127 at IBC, 13:30.

Speaker: Taha Jerbi

Date and place: 25/11/2013 at 13:30 in room 127 of Galera building

Abstract: First, I present a new segmentation method of 3D MRI images that evaluates the necrotic area in the femoral head. This method is based on PDE equations and a dynamic robust estimator of the noise and the irrelevant contours. I show the advantages of our results by using entropy based evaluation technique. Second, I present a registration method in frequency domain between 2D and 3D data. This method is used to determine the positions of the bones during flexion (pseudo static). It is well suited to the acquisition system which produces 3D reconstructions of the bones in the initial standing position and only 2D frontal and sagittal radiographic acquisitions for other positions. And third, I present my work using imagery and combining different modalities and techniques for a better estimation of the water stress in plants.

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