
Diagnostic Imaging Solutions
LOGIC’s video-optimized Video
Memory solutions are well-positioned to simplify medical imaging
systems and lower development costs.
Frame/image buffering techniques play an important
role in developing cutting-edge diagnostic imaging systems. With
development costs making up a significant portion of industrial
product costs, simplifying designs and speeding products to market
is crucial. Increases in image resolution and bandwidth provide
an opportunity for video-optimized memory solutions to simplify
systems and reduce cost.
Diagnostic imaging systems such as X-ray and
ultrasound have been in use for decades. Other systems, which
include computed tomography (CT), magnetic resonance imaging (MRI),
and nuclear or positron emission tomography (PET), are newer.
These new diagnostic imaging systems are complex and image-processing
intensive, forcing manufacturers to introduce increasingly advanced
features and improved performance.
The medical and scientifc industry faces many
issues and challenges in terms of offering high quality imagery,
real-time digital processing, and providing high performance,
high-speed A-D and D-A conversion. Whether you're designing X-ray
imaging machines, breath alcohol testers, or dialysis machines.
A typical diagnostic imaging system consists of three sets of
cards: data acquisition, data consolidation, and image/data processing
cards.
Figure
1. Diagnostic Imaging
The data acquisition card, which filters incoming
data, is the most cost-sensitive system card. Usually a diagnostic
imaging system will consist of multiple data acquisition cards
(in some cases, up to 20 cards per system). Once the data is compensated
and filtered, it is sent to the data consolidation card for buffering
and data alignment. For CT and PET scanners where the detectors
rotate around the body, the data is serialized and sent across
a slip ring electromechanical subassembly. Once the data has been
collected, it is sent to the image/data processing cards. These
cards perform heavy-duty filtering and the most algorithm-intensive
image reconstruction. Once completed the final imaging and scaling
functions for display are usually done on a single board computer
(SBC).
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