A specialist in radiological imaging physics & radiation safety, Dr. Bednarek is board certified in Diagnostic, Therapeutic & Medical Nuclear Physics. He was a charter member of the AAPM Commission on Accreditation of Educational Programs for Medical Physicists and has served the ABR as oral examiner & as a member & chair of the diagnostic radiology physics written examination committee for over 17 years. He has served as Associate Editor & Reviewer for the Journal Medical Physics & is a member of the ACR Mammography Interpretive Skills Assessment Committee. He is a fellow of the AAPM & has received the Lifetime Service Award from the ABR. Dr. Bednarek is a research faculty member of the Toshiba Stroke and Vascular Research Center & Clinical Medical Physicist at the Erie County Medical Center. He has taught medical imaging physics & radiation safety for over 30 years to radiology residents, graduate students, medical students, and hospital staff. He has been engaged in research in region-of-interest imaging including development & evaluation of limited-field-of-view, high resolution real-time imaging detectors with specific application to neuroimaging. Recent work has focused on methods for determination of patient radiation dose and development of a real-time dose-tracking system for interventional fluoroscopic procedures.
Cardiovascular Disease; Diagnostic Radiology; Neuroradiology - Radiology; Radiological Physics; Vascular and Interventional Radiology; Vision science
My research career focuses on improvement of endovascular image guided interventions and encompasses three major components: vascular disease research, endovascular device development and medical imaging. Since the beginning of my research I tried to develop and test endovascular device in patient relevant physiology in a lab setting. I developed the first balloon deployable asymmetric flow diverters nearly eight years ago and test them in idealized aneurysms phantoms. Over the years with my collaborators at Toshiba Stroke and Vascular Research Center (TSVRC), I developed an entire chain of manufacturing and testing of such devices. Concerning imaging, my research is focused on physiological conditions determination based on imaging such as angiography and CT and micro-CT.
Diagnostic Radiology; Neurological Surgery; Neuroradiology - Diagnostic Radiology; Neuroradiology - Radiology; Pediatric Radiology - Radiological Physics; Radiological Physics; Radiology; Vascular and Interventional Radiology
A SUNY Distinguished Professor & member of the UB faculty for more than 30 years, Dr. Rudin is a world-renowned expert in the field of medical physics. the quintessential interdisciplinary research scientist, Dr. Rudin is an international force in the development of a host of cutting-edge technology & methodology in the area of medical diagnostic & interventional imaging. He has won multiple awards for scientific excellence as well as awards for excellence in design, and is particularly well-known for his work in developing a solid state x-ray image intensifier and his research in asymmetric stents, work with major theoretical and clinical implications for medical physics, biomedical engineering, and diagnostic radiology, as well as an immediate impact upon patient diagnosis and care, particularly in case of brain and heart treatment. The caliber, significance, and innovation of his research are demonstrated by the numerous grants he has received from the NIH.
Multiple Sclerosis; Neurodegenerative disorders; Neuroimaging; Neurology; Neuroradiology - Radiology; Parkinson's; Radiological Physics; Radiology; Bioinformatics
Magnetic resonance imaging (MRI) is a unique technique for studying the human body since it is non-invasive, does not require ionizing radiation and offers a multiplicity of complementary tissue contrasts. My research seeks to explore the potential of MRI for clinical and pre-clinical imaging and to provide new and improved MRI technology. The goal of this endeavor is twofold: 1.) to contribute deeper insight into the etiology, pathogenesis and potential treatment of neurodegenerative diseases, and 2.) to give clinicians the ability to diagnose diseases earlier and monitor them more accurately. I am currently focusing on understanding MRI contrast mechanisms as well as on developing innovative imaging and reconstruction techniques that improve the sensitivity and specificity of MRI with respect to biophysical properties of brain tissue. Advancements in this field promise to have a substantial impact on our understanding of biophysical and morphological tissue alterations associated with neurological diseases and their treatment. We recently pioneered quantitative susceptibility mapping (QSM), a breakthrough in quantitative MRI. This technique allows for unique assessment of endogenous and exogenous magnetic particles in the human brain such as iron, calcium, myelin or contrast agents. The concept of QSM is fundamentally different from conventional MRI techniques as it involves solving for all imaging voxels simultaneously in large physically motivated equations, a so-called inverse problem. At the Buffalo Neuroimaging Analysis Center (BNAC), we use QSM to explore whether brain iron may serve as an early biomarker for diseases of the central nervous system such as multiple sclerosis and Parkinson’s disease. Other interesting applications of this technique we are investigating include differentiation between hemorrhages and calcifications, detection of demyelination and quantification of tissue oxygenation. I am fascinated by the synergies from combining physical expertise with high-level mathematical, numerical and engineering concepts to advance our understanding of the human brain. Consequently, my research activities are generally interdisciplinary and involve collaboration with clinicians, physicists, computer scientists, technicians and engineers. Student projects typically focus either on the application of techniques or on technical developments. Undergraduate, graduate and doctoral candidates from a variety of disciplines such as neuroscience, physics and mathematics work collaboratively in my lab.