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Ultrasound Research Laboratory
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From left to right:
Susan M. Schultz RDMS, Peter H. Arger MD, Heather Elise Price LAT, Margaret Shannon
Deitz, Chandra (Sandy) Sehgal PhD, Ted Cary, Andrew K. W. Wood DVSc |
The Department of Radiology at the University of Pennsylvania
houses a state-of-the-art Ultrasound Research Laboratory
for conducting clinical and pre-clinical research.
The goals of the research laboratory are:
- To develop new ultrasound technologies and clinical applications.
- To bridge the gap between technology and clinical applications.
- To provide ultrasound imaging resources to other research groups
within the university and in other institutions.
The
laboratory consists of a core group of scientists and
technicians with expertise in ultrasound technology
and computer programming. This group works with clinicians
in multiple specialties, including radiologists, cardiologists
and surgeons. Ultrasound
Research Services, an arm of the laboratory, serves
the research community. Ultrasound Research Services
furnishes a state-of-the-art ultrasound scanner dedicated
to research. There are a full-time sonographer and a
part-time radiologist on staff to conduct clinical imaging.
The research laboratory has been a valuable
resource to several groups working on diverse
projects. These include studies involving the measurement
of angiogenesis, vascularity, tissue elasticity, contrast
agents, and the effects of various physical and pharmaceutical
agents on blood flow and tissue vascularity. The studies
span a range of clinical areas including research on
cancer, cardiovascular disease and musculoskeletal disease.
A unique feature of the laboratory is
its comprehensive set of software and hardware tools developed in-house
for quantitative image analysis. The laboratory is equipped with electronic
devices for making acoustic measurements on tissue and biological
samples, including contrast agents. There are facilities for frame-by-frame
computer analysis of real-time ultrasound images for analyzing data
acquired at multiple sites using different scanners.
A software package developed in-house
performs analysis of large sets of sonographic and Doppler
images, measuring changes in flow, perfusion and grayscale.
The cross-sectional boundaries of blood vessels can
be measured by semi-automated analysis of ultrasound
images and used to study vascular biology. These tools
are of special interest to those involved in evaluating
the kinetic response of drugs and pharmaceuticals. Another
set of tools is being developed to characterize tumor
margins, shapes and grayscale characteristics. The goal
is to use these features in conjunction with neural
net and log regression algorithms for computer-aided
diagnosis.
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