QUICK
FACTS
The Cardiac Rhythm Management Laboratory at the University of Alabama at Birmingham
uses PV-WAVE for more efficient analysis of the causes and potential treatment of cardiac
arrhythmias. They are able to increase productivity and significantly reduce development
time for researchers because of PV-WAVE's rapid application development, flexible
programming environment and cross-platform compatibility.
THE PROBLEM
Sudden cardiac death is the leading cause of death in the industrialized world. The Cardiac
Rhythm Management Laboratory at the University of Alabama at Birmingham (CRML) seeks
to understand the formation, maintenance and termination of life-threatening cardiac
arrhythmias with the goal of improving treatment strategies.
CRML funding comes from the National Institutes of Health, National Science Foundation,
American Heart Association, the Whitaker Foundation, and corporate partners.
CRML scientists are world leaders in electrical and optical mapping technology -- the
simultaneous measurement of electrical potential distributions with high spatial and
temporal sampling resolution. CRML's electrical mapping systems allow measurements in
three dimensions for better understanding of how the heart's structure contributes to
arrhythmias in normal and diseased states. Optical mapping systems relate fluorescence
measurements from the surface of isolated hearts to underlying cellular level potentials.
CRML's primary objective is to investigate the causes and potential treatments of cardiac
arrhythmias. Sudden cardiac death is due to heart attacks, and heart attacks are due to
fibrillation. Fibrillation is rapid uncoordinated twitching movements that replace the normal
rhythmic contraction of the heart and may cause a lack of circulation and pulse. Professor
Richard Gray, Associate Professor in the Department of Biomedical Engineering and member
of CRML, studies how waves propagate throughout the heart. He theorized that fibrillation
could be identified by spiral wave patterns that occur in the heart.
To test this theory, Professor Gray used an optical mapping system using CCD cameras, and
cardiac MRI. Cameras recorded the electrical activity from the heart surface during
fibrillation. The resulting data "movies" represented complex ever-changing dynamic spatial
patterns.
Analyzing and visualizing this data requires significant image and signal processing
techniques, coupled with advanced graphical capabilities. However, no techniques existed to
analyze such high-resolution data sets.
THE SOLUTION
With the help of PV-WAVE, Dr. Richard Gray and his counterparts developed a "first of its
kind" method for identifying fibrillation. To find the spiral wave patterns that could indicate
fibrillation, the scientists analyze the data both qualitatively and quantitatively. They
examine the 3-D surface of the heart qualitatively using the PV-WAVE animation tool,
allowing them to look on the inside and outside of the heart surface. Mathematical
algorithms were used to identify quantitative patterns in the spiral waves. In this way, Dr.
Gray and his team were able to make a connection between specific types of spiraling and
fibrillation. "This fibrillation model is used extensively throughout the field of cardiology
research," according to Richard Gray.
The application Dr. Gray and his team developed to analyze the spirals is called VIDAS
(Video Imaging Data Analysis Software). VIDAS is an interactive software environment for
visualizing and analyzing CCD optical mapping data. Processing may be done from the
PV-WAVE command line and/or through the use of a graphical user-interface.
This application to understand what fibrillation is made up of is the first of its kind. Now that
scientists understand how fibrillation works, they can test drugs against it to see if the
fibrillation stops.
RETURN ON INVESTMENT
Professor Gray's research findings have been published in the Proceedings of the National
Academy of Sciences and also in the journal Nature. "This fibrillation model is used
extensively throughout the field of cardiology research," according to Richard Gray.
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