The research and development project with the cooperation of Mediso Ltd is aimed at further developing of medical diagnostics, including cardiological, gamma-ray based non-invasive imaging procedures and protocols, covering primarily the processing of DICOM standard images.

The connection to the innovation developments is provided by the university to the students via an R&D laboratory interface. Here, in addition to optimizing post- processing procedures, laboratory participants have the opportunity to design and implement a number of new algorithms.

Students can receive credits for participating in the R&D laboratory, and for the best we offer scholarships that are recognized as internships as well. Both BSc and MSc students have a great opportunity to test and deepens their knowledge.

Website: https://medisolab.inf.elte.hu/

Contact person: Attila Kovács attila@inf.elte.hu

OPEN TOPICS

• Medical device automated testing
• DevOps for C++ distributed build
• SPECT Quality Check Improvement
• Generative models of Gamma cameras
• Model-based testing
• Refactor and architecture design for ImageViewer
• 3d simulation of medical devices
• Gibbs artifact free SPECT reconstruction
• Containerizing desktop applications in Docker
• Brain SPECT segmentation and reorientation
• Right ventricle extrapolation in SPECT
• Graph-based segmentation methods in medical imaging

PREVIOUS RESULTS

Automated Thyroid Gland Segmentation on Planar SPECT Image

Nuclear medicine applies radiopharmaceuticals to study the physiological functions of the body. The accumulation of the administered radionuclides at target tissues makes nuclear medicine a valuable instrument considering both diagnostics and treatment. Imaging gamma radiation from the decaying radioisotopes present in the thyroid gland after a tracer is introduced into the body tests the thyroid uptake function and provides characteristic geometric information as well.

Automatic vertebrae numbering

Nowadays computers have become one of the most essential tools for every field of science, including the medical sciences. Computer aided detection and diagnosis (CADe, CADx) systems have become more and more developed branches of technology. Although most of these methods currently in use are the older manual or in better cases, semi-automatic types. Because of this, it became an important objective to automate these time-consuming tasks by developing algorithms that operate without any human intervention.