LOGISMOS segmentation framework (Layered Optimal Graph Image Segmentation for Multiple Objects and Surfaces) facilitates highly efficient multi-dimensional, multi-layered, and multi-object optimum graph-based segmentation and surface editing on image data from various modalities (CT, MR, Ultrasound, OCT, etc.).
Cardiac and cardiovascular image analysis has been performed at IIBI since the early 1990's, from X-ray coronary angiography, 2D/3D/4D ultrasound (including intravascular), MR/CT, and OCT, leading to established and validated software for various clinical questions and applications (coronary artery disease, aortic atherosclerosis, arrhythmia, heart transplant, etc.).
Development of novel imaging protocols for and image-related analysis approaches to assessing pulmonary morphology and function in normal lungs and various lung diseases is one of IIBI's strongest focus areas, going back 30+ years of research activity in various laboratories.
Current IIBI research investigates the pathology of many eye diseases, including diabetic retinopathy, macular degeneration, macular holes, epiretinal membranes, macular edema, central serous choroidopathy, and of the optic disc, combining state of the art imaging modalities like optical coherence tomography with our well-established segmentation approaches.
Osteoarthritis and osteoporosis image analysis research is yet another focus area of IIBI. Architecture and biomechanics of osteoporotic bone, cartilage morphometrics, and overall orthopedic biomechanics are studies from a variety of imaging modalities, including MR, CT, and ultrasound.
Quantitative analysis of brain structure and function, researching the brain connectome, and developing new approaches to early diagnosis of neurological disorders in children and adults is another area of IIBI's interest and expertise with a long history of research activity.
Cancer and radiotherapy image analysis is one of the core areas of IIBI expertise. We have developed and validated tumor segmentation software from PET, CT, MR, PET/CT, PET/MR, and MVCBCT; methods for tumor treatment outcome prediction, optimality-guaranteeing intensity-modulated radiotherapy algorithms; and a barrage of cancer-related bioinformatics support approaches.