Projects of Attila Kuba

Our automatic registration method was tailored to the needs of a model-based segmentation framework of the pelvic area in CT studies in collaboration with GE Medical Systems. Registration was used as a preprocesing task. The goal of it was the acceptable alignment of the pubic bone area (where the two organs of interest, the prostate and bladder are located) of studies from different patients.

A joint project is in process between the University of Szeged Image Processing Group and Department of Optics and Quantum Electronics and GE Medical Systems (GEMS) Budapest, to study the problems connected with CT image corrections.

Helicopter rotor blades were tested by combined neutron and X-ray radiography. Due to the large size of the rotor blades, several images had to be taken and put together to compose one big image. We developed an interactive solution based on artificial markers.

Study and development of image segmentation algorithms for different organs from CT images for radiotherapy planning purposes.

An automatic registration method utilizing mutual information and its various medical and neutron tomography applications.

Theoretical aspects of main problems in Discrete Tomography are studied such as existence, consistency, and reconstruction under several assumptions. Efficient reconstruction algorithms are also developed by incorporating prior knowledge into the reconstruction.

Computer aided surgical planning with semi-automatic segmentation, implant insertion and biomechanical analysis

We investigated registration methods based on interactively identified point pairs used in medical image registration. We proposed an affine search method and gave a sufficient existence condition for the unique solution. The properties of rigid-body and affine methods were examined via numerical simulations.