The Biomedical Imaging research groups in the MU-MCW Department of Biomedical Engineering focus on developing new techniques to noninvasively visualize the structure and function of living objects for clinical analysis and medical intervention. Below, learn more about the many BME laboratories contributing to the development of novel imaging technologies and other advancements in this field.
Biomedical Imaging Laboratories
The Biophotonics Laboratory develops optical imaging, spectroscopy, and sensing techniques for non- or minimally invasive detection and treatment of cancers and other conditions. Current projects include deep-ultraviolet fluorescence scanning microscopy for intraoperative assessment of breast tumor margins, smartphone microendoscopy for cervical cancer screening, laser ablation of liver tumors with real-time monitoring, optical confirmation and monitoring of endotracheal tube position, and photo-biomodulation or low-level laser therapy.
Computational Lung Physiology Laboratory
The Computational Lung Physiology Laboratory (CLPL) uses Micro-CT technology and nuclear medicine to develop experimental and computational strategies to investigate lung physiology at all levels—from molecular, to cellular, to whole-organ and body. The goal is to identify mechanisms and processes involved in lung diseases and injuries such as sepsis and acute respiratory distress syndrome (ARDS). The CLPL then develops treatments for these diseases that target the elucidated mechanisms.
Functional MRI Research Laboratory
Led by Dr. Kristina Ropella, the Functional MRI Research Laboratory specializes in the use of MRI to assess brain function (fMRI). Researchers in the Functional MRI Research Laboratory create imaging strategies, sequences, and instrumentation related to fMRI. This specialization may include neuroscience and vision research.
MARquette Visualization Laboratory
The MARquette Visualization Lab (MARVL) demonstrates how visualization technology can be used in learning, research, and industry. Collaborating with researchers from many disciplines, MARVL visualizes scientific data, clinical environments, and meta-data in ways that can stimulate new ideas. Marquette's Visualization lab includes a 3D-immersion cave and content development lounge where researchers can work on developing and programming new visualization tools.
Medical Imaging Systems Laboratory
Led by Dr. Taly Gilat-Schmidt, the Medical Imaging Systems Laboratory (MISL) focuses on the design and optimization of medical imaging systems and algorithms. Current projects are investigating Spectral CT, photon-counting CT, and software algorithms for rapid, patient-specific radiation dose estimation. MISL engages both academic and industrial partners to improve image quality, decrease patient radiation dosing, and uncover new diagnostic capabilities in medical imaging systems.
Nanomedicine & Image-Guided Interventions Laboratory
The interests of the Nanomedicine and Image-Guided Interventions Laboratory (NIGIL) include molecular imaging in small animal models, gold nano-particles with tunable surface plasmons for imaging and photo-thermal ablation, cancer imaging and therapy, near-infrared and shortwave infrared optical imaging and tomography systems, and multimodal optical and MRI contrast agent development.
Neuroimaging Research Laboratories
Led by Drs. Schmit, Scheidt and Beardsley, the Neuroimaging Research Laboratories include the Integrative Neural Engineering & Rehabilitation Laboratory (INERL), the Neuromotor Control Laboratory (NMCL), and the Integrative Neural Systems Laboratory. Together, these laboratories focus on neural systems and neurorehabilitation imaging, including areas in MRI such as diffusion tensor imaging (DTI) and tractography, and multi-modal fusion of fMRI, magnetoencephalography (MEG) and electroencephalography (EEG).
Ocular & Computer Vision Laboratory
The Ocular & Computer Vision Laboratory (OCVL) uses non-invasive imaging techniques such as adaptive optics ophthalmoscopy, optical coherence tomography, and fundus photography combined with computer vision techniques to assess the structure and function of the living retina at both a macro and sub-micron scales. The OCVL actively collaborates with clinical, academic, and industrial partners to augment the development of experimental and computational tools and further understanding of vision and ocular pathologies.
Sensory Neuroscience, Attention, & Perception Laboratory
To understand how human behavior is guided by perception, the SNAP Lab uses neuroimaging and neural stimulation methods to study the neurobiology of attention and perception in the visual, auditory, and olfactory domains. In addition, the SNAP Lab develops computational tools used to analyze data acquired using functional Magnetic Resonance Imaging (fMRI), Diffusion Imaging (DTI/DSI), and Transcranial Magnetic Stimulation (TMS).