Machine Learning

LOGISMOS Image Segmentation

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.).

Cardiovascular Image Analysis

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.).

Pulmonary Image Analysis

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.

Ophthalmic Image Analysis

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.

Orthopedic Image Analysis

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 modalitries, including MR, CT, and ultrasound.

SINAPSE

Scalable Informatics for Neuroscience, Processing and Software Engineering (SINAPSE) is an interdisciplinary team of computer scientists, software engineers, and medical investigators who develop computational tools for the analysis and visualization of medical image data. The purpose of the group is to provide the infrastructure and environment for the development of computational algorithms and open-source technologies, and then oversee the training and dissemination of these tools to the medical research community.

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