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The Advanced Optics Lab uses innovative optical tools, including laser-based nanotechnologies, to understand cell motility and the regulation of cell shape. We pioneered laser-based nanotechnologies, including optical tweezers, nanotracking, and laser-tracking microrheology. Applications range from physics, pharmaceutical delivery by phagocytosis (cell and tissue engineering), bacterial pathogens important in human disease and cell division.
Other projects in the lab are related to microscopy, specifically combining fluorescence and electron microscopy to view images of the subcellular structure around proteins.
We specialize in unconventional, multi-disciplinary approaches to studying the heart at the intersection of applied mathematics, physics and computer science. We focus on theory development that leads to new technology and value delivery to the society. Currently we have three research programs:
1. Precision Medicine
To develop a quantitative approach to personalized risk assessment for stroke and dementia based on patent-specific heart anatomy, function and blood flow.
Disciplines: Cardiac Hemodynamics; Medical Imaging Physics; Continuum Mechanics; Computational Fluid Dynamics
2. Information Theory
To quantify and perturb cardiac fibrillation that emerges as a macro-scale behavior of the heart from micro-scale behaviors of inter-dependent components.
Disciplines: Cardiac Electrophysiology; Spiral Wave; Information Theory; Complex Networks
3. Artificial Intelligence
To develop artificial intelligence algorithms to predict the future risk of heart attack, stroke and sudden... death, and to assist surgical interventions to prevent these outcomes.
Disciplines: Medical Imaging Physics; Artificial Intelligence; Robotically Assisted Interventions
The overall goal of the Auditory Brainstem Library is to understand how abnormal auditory input from the ear affects the brainstem, and how the brain in turn affects activity in the ear through efferent feedback loops. Our emphasis is on understanding the effects of different forms of acquired hearing loss (genetic, conductive, noise-induced, age-related, traumatic brain injury-related) and environmental noise. We are particularly interested in plastic changes in the brain that compensate for some aspects of altered auditory input, and how those changes relate to central auditory processing deficits, tinnitus, and hyperacusis. Understanding these changes will help refine therapeutic strategies and identify new targets for treatment. We collaborate with other labs in the Depts. of Otolaryngology, Neuroscience, Neuropathology, the Wilmer Eye Institute, and the Applied Physics Laboratory at Johns Hopkins, in addition to labs outside the university to increase the impact and clinical relev...ance of our research. view more
The Imaging for Surgery, Therapy and Radiology (I-STAR) Lab is a collaborative research endeavor based in the Department of Biomedical Engineering at Johns Hopkins University. Research areas include: (1) Imaging physics: Mathematical models of imaging performance in advanced modalities, including cone-beam CT and spectral/dual-energy imaging, (2) 3-D image reconstruction: Advanced 3-D image reconstruction based on statistical models of the imaging chain and prior information, (3) Novel imaging systems: Preclinical prototypes translated from the laboratory to first application in diagnostic and interventional procedures, and(4) Image-guided interventions and diagnostic radiology: High-precision interventional guidance systems (for surgery, interventional radiology, and radiation therapy) and new technologies for high-quality diagnostic imaging.
The Division of Medical Imaging Physics conducts state-of-the-art research in medical imaging physics, particularly in the areas of nuclear medicine, including PET and SPECT, CT and X-ray imaging. Our research aims to advance instrumentation technologies, image reconstruction techniques and image processing and analysis methods that lead to improved quality and quantitative accuracy in radiological images for better clinical diagnosis and other biomedical applications.
The Jacobs lab is within the Division of Cancer Imaging Research in the Department of Radiology and Radiological Science. The lab translates radiological imaging (MRI/PET/CT) from research to the clinical setting. The Jacobs lab is establishing the use of multi-parametric/multinuclear/modality imaging to monitor treatment response in different cancers and co-developed a new metric for DWI/ADC mapping to discern treatment response. They are developing and implementing a new method for diagnosis of cancer using machine and deep learning to measure different types of lesions. The Jacobs lab is also developing novel segmentation of radiological images using non-linear dimensionality reduction. In addition, we are investigating methods to integrate Radiomics and Informatics and prognostic markers for disease. Other research areas include diagnostic medical physics and novel computer science applications. The medical physics research includes MRI quality assessments, X-ray, fluoroscopy, ultr...asound and applications to therapeutic medical physics. We are developing a residency using the Commission on Accreditation of Medical Physics Education Program in Diagnostic Medical Physics. view less
Quantitative Imaging Technologies
Research in the Quantitative Imaging Technologies lab — a component of the Imaging for Surgery, Therapy and Radiology (I-STAR) Lab — focuses on novel technologies to derive accurate structural and physiological measurements from medical images. Our team works on optimization of imaging systems and algorithms to support a variety of quantitative applications, with recent focus on orthopedics and bone health. For example, we have developed an ultra-high resolution imaging chain for an orthopedic CT system to enable in-vivo measurements of bone microstructure. Our interests also include automated methods to extract quantitative information from images, including anatomical and micro-structural measurements, and shape analysis.
Wojciech Zbijewski Lab
Research in the Wojciech Zbijewski Lab — a component of the Imaging for Surgery, Therapy and Radiology (I-STAR) Lab — focuses on system modeling techniques to optimize the x-ray CT imaging chain. We’re specifically interested in: 1) using numerical models to improve the task-based optimization of image quality; 2) exploring advanced modeling of physics in statistical reconstruction; 3) using accelerated Monte Carlo methods in CT imaging; and 4) conducting experimental validation of such approaches and applying them to the development of new imaging methods.