Biomedical Imaging involves the measurement of spatio-temporal distributions over scales ranging from molecules to organs to whole populations. At its heart are principles of mathematics, physics, and the understanding of structure and function in biological systems, including data-intensive analysis and technologies spanning the spectrum of optics, ultrasound, X-ray/CT, MRI, and molecular imaging.
Researchers are using novel optical imaging technologies including fluorescence and tomographic microscopy and endoscopy for early disease detection.
Image Analysis and Registration
Mathematical models are being used to deformably align multimodal images and analyze information to understand disease and therapy responses like Alzheimer’s disease.
3-D Image Reconstruction
New algorithms are under development to improve image quality and reduce dose in CT by modeling the physics and statistics of image formation.
Novel Imaging Systems
Novel imaging technologies are being developed at Hopkins BME, including optical endoscopy, molecular imaging, ultrasound, CT, and MRI.
Bringing imaging to high-precision interventions involves creation of new imaging platforms and techniques, like C-arm cone-beam CT, image registration, and robotics.
Combining information from multiple modalities requires mathematical models for deformation, such as the LDDMM algorithm developed at Hopkins BME.
Techniques developed through imaging research now allow us to visualize the dynamics of biology from the scale of molecular machines through organ physiology.