Segmentation of linear structures from medical images

Hierarchical Segmentation of Thin Structures in Volumetric Medical Images

We introduce a new method for segmentation of 3D medical data based on geometric variational principles. A minimal variance criterion is coupled with a geometric edge alignment measure and the geodesic active surface model. An efficient numerical scheme is proposed. In order to simultaneously detect a number of different objects in the image, a hierarchal method is presented. Finally, our metho...

Segmentation of Striatal Brain Structures from High Resolution PET Images

We propose and evaluate an automatic segmentation method for extracting striatal brain structures (caudate, putamen, and ventral striatum) from parametric (11)C-raclopride positron emission tomography (PET) brain images. We focus on the images acquired using a novel brain dedicated high-resolution (HRRT) PET scanner. The segmentation method first extracts the striatum using a deformable surface...

Multi Resolution Fuzzy Segmentation of Satellite Images

non-linear study of various slit shear walls in steel structures

seismic retrofit strategies have been developed in the past few decades following the introduction of new seismic provisions and the availability of advanced materials and methods. it can be observed that new approaches to deal with more lateral forces are more innovative and more energy absorbent. in line with this, there is a growing trend toward the use of steel shear walls as a system with ...

Segmentation of Medical Images using Image Registration

Medical image segmentation is one of the most essential task in many medical image applications, as well as one of the most complex tasks. Medical image segmentation aims at partitioning a medical image into its constituent regions or objects, and isolating multiple anatomical parts of interest in the image. The precision of segmentation often determines the final success or failure of the whol...