The key lines of research in the Abbasinejad Enger lab are Novel Patient-Specific Brachytherapy Technology, Novel Detector Technology, Artificial Intelligence-based Image Segmentation, and Dosimetry & Treatment Outcome Prediction. The overall aim of our research is to make radiation therapy treatment of cancer, patient-specific and move towards patient-specific radiation dosimetry and delivery. By developing and introducing new radiation sources, fast model-based radiation calculation engines/dose planning algorithms, new radiation detectors, and artificial intelligence-based solutions, we hope to reduce the side effects related to radiation therapy and improve the outcomes, with a better quality of life for the patients.
The Artificial Intelligence Group aims to move towards personalized healthcare for brachytherapy patients using deep learning methods.
Radiobiology and Microdosimetry
In the Radiobiology and Microdosimetry group, the difference in RBE between different brachytherapy radiation sources and external beam radiotherapy modalities are investigated.
The detector development group works to build novel radiation detectors to solve clinical problems.
Novel Brachytherapy Technology
The Novel Brachytherapy Technology group is developing Monte Carlo-based treatment planning systems for conventional and intensity-modulated brachytherapy, intravascular brachytherapy, and 90Y-based hepatic radioembolization as well as intensity-modulated brachytherapy delivery systems and novel radiation sources.