Najah Hraiech

Learn More
Various papers described mesh morphing techniques for computational biomechanics, but none of them provided a quantitative assessment of generality, robustness, automation, and accuracy in predicting strains. This study aims to quantitatively evaluate the performance of a novel mesh-morphing algorithm. A mesh-morphing algorithm based on radial-basis(More)
Within a specific medical application, the primary liver cancer curative treatment by a percutaneous high intensity ultrasound surgery, our study was designed to propose a fast 3D semi-automatic segmentation method of the liver, the tumor and the hepatic vascular networks. This method is characterized by a graph description of contrast medium injected CT(More)
In this paper we present a novel method for the segmentation of scintigraphic images in order to detect the two ventricles of the heart. The method is based on the active contour model using a region based approach and parametric representation of the contour. The novel aspect of the method is that we have integrated separating forces between the two(More)
Shape signatures are fundamental in medicine to characterize abnormal patterns and track their evolution over time. Beyond the diagnosis objective, they are critical to understand the relations between structures and functions as well as to design advanced image-guided therapy. One of the most critical steps in medical imaging remains segmentation, aimed at(More)
In this paper we present a fast and efficient method for generating a patient-specific femur mesh by morphing a template femur mesh of ten-node tetrahedral elements on a geometry represented in STL format (STL: Surface Tessellation Language). The morphing is constrained through a set of user defined anatomical landmark points. Our method splits the input(More)
  • 1