SANTA CLARA, Calif., May 8 /PRNewswire/ -- Samplify Systems, Inc., a real-time signal compression technology company, announced today that Dr. Carl Crawford, a leading expert in computed tomography, has joined its technical team. Dr. Crawford brings 27 years of experience in the architecture, design, and development of computed tomography for medical equipment and security applications.
"We are delighted to add Carl's knowledge of the entire CT signal chain to Samplify's capabilities," said Al Wegener, Samplify founder and CTO. "Combined with Dr. Norbert Pelc from Stanford University, Samplify now has two of the top world experts working with us to optimize the effects of our lossless and near lossless compression technology on final images in order to meet the data bandwidth needs of current and next generation CT machines."
"CT manufacturers are continually extending the diagnostic capability of their machines," said Dr Crawford. "Whether their goal is to capture an image of the heart in a single beat, to increase resolution or contrast between tissue types, or to decrease patient stress with shorter scan times, each of these objectives demands higher and higher data throughputs putting stress on the slip-rings and RAID drives used in current and next generation systems. Samplify's signal compression technology is the first approach I've seen which can address this problem at the source of the data."
Computed tomography systems employ an X-ray source and an array of
X-ray detectors, organized into rows and "slices" which helically rotate
around the patient. With each X-ray detector feeding a high resolution
analog to digital converter channel (ADC), high-end CT machines require
hundreds of thousands of detectors whose aggregate data requirements exceed
10 Gbps. The slip-ring is a rotary joint which provides the primary
communications mechanism from these ADCs to the host workstation. This raw
data must also be stored to disk in real-tim
|SOURCE Samplify Systems, Inc.|
Copyright©2008 PR Newswire.
All rights reserved