Eric A. Hoffman, Ph.D.
Eric Hoffman is a Professor of Radiology and
Biomedical Engineering in the Colleges of Medicine and Engineering
at the University of Iowa. He received a Bachelor of Arts degree in
Physiological Psychology from Antioch College, spent a year at the
University of Colorado Medical School studying high altitude physiology,
and then earned a Ph.D. in Physiology at the University of Minnesota/
Mayo Graduate School of Medicine. All of Hoffman's research has used
imaging and image analysis to study cardiac and pulmonary physiology, and
while at the Mayo Clinic, he was part of a team which developed and used
the Dynamic Spatial Reconstructor, a one of a kind X-ray CT scanner capable
of gathering up to 240 contiguous 1mm thick sections of the body every
1/60 second. Through his move to the University of Pennsylvania and the
University of Iowa, Hoffman has pulled together a growing group of physicians,
physiologists, engineers and computer scientists dedicated to the task of
developing imaging protocols and image analysis tools aimed largely at
display and quantitation of physiologic data to understand the normal and
pathophysiologic functioning of the heart and lungs. The group's efforts
find a common repository in the software package they have dubed VIDA for
Volumetric Image Display and Analysis and the newest they have dubed PASS for
Pulmonary Analysis Software Suite.
His interests include the following:
Cardiac Mechanics: evaluation of the mechanism for the integrated functioning of the heart whereby the total heart volume (contents of the pericardial sac) remains essentially constant throughout the cardiac cycle.
Methods development: the quantitative assessment of cardiopulmonary physiology via dynamic, volumetric computed tomographic methods (with a primary focus on X-ray CT).
Outcomes assessment: evaluation of emerging therapies for lung disease.
Image data management and analysis for multi-center pulmonary related clinical trials
Airway Reactivity: utilizing Image data management and analysis for multi-center pulmonary related clinical trials volumetric high resolution CT scanning to evaluate intrapulmonary airway reactivity with particular interest in the etiology and treatment of asthma.
Cardiac Mechanics: evaluation of the mechanism for the integrated functioning of the heart whereby the total heart volume (contents of the pericardial sac) remains essentially constant throughout the cardiac cycle.
Pulmonary Physiome: development of a computer model of the normal human lung based upon imaging measures against which individuals can be compared for detection and following of early pulmonary pathology.
Develop the use of virtual CT-based guidance of transbronchial needle biopsies.
Establishing a database for lung cancer imaging in order to provide appropriate lung cancer screening tools and protocols.
Establishing a normative atlas of the human lung based upon CT and MR assessment. The atlas to be used as a comparator for early detections of disease processes.
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Last modified: Tue May 21 11:47:15 CDT 2002