Title: Flat Detector Technology
1Flat Detector Technology
2Integris AlluraFlat detector
Refresh light
Photodiode array
Scintillator
3Philips Flat Detector Technology Cesium
Iodide Scintillator
Philips flat detector scintillator is thicker
than first generation flat-panels Converts more
x-rays into light More efficient detection Better
image contrast
Needle diameter 6 µm
4Philips Scintillator Converting more x-rays into
light
Increase detector efficiency
Increase scintillator thickness
5Photodiodes Converting light into pixels
6Philips Flat Detector Technology Photo diode
Amorphous Silicon on glass matrix
7A reset light maintains image quality
Continuously refreshes the detector to maintain
image quality and improve temporal resolution.
8Flat detector How it works - a summery
Cesium Iodide Scintillator Needle like crystals
first convert the x-rays into light then pipe
the light to the photodiodes.
- Thicker scintillator
- Higher contrast resolution
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10Philips Flat Detector Technology
Data Transfer
Images are read sequentially and
simultaneously The plate is divided in half and
each half is further divided into nine equal
sections Each of these sections are read
simultaneously, this takes 10 ms The retained
image on the plate is blanked prior to the next
image by means of a refresh light
11SPIRIT image processing consists of -
- Image Harmonization
- Image harmonization diminishes the differences
between areas of the image that are too bright
compared to areas that are too dark.
- Edge Enhancement
- Edge enhancement highlights the differences
between adjacent picture elements, to sharpen the
image of the coronary vessels.
- Recursive filtering
- Recursive filtering combines a sequence of images
acquired previously in the cardiac cycle to the
current image to improve overall image quality.
The values of the image harmonization, edge
enhancement and recursive filtering are service
customizable to suit the users preference or
taste.
12Image harmonization
- Diminishes the differences between areas of an
image that are too bright compared to areas that
are too dark.
too light / too dark
Just right
13Edge enhancement
- Highlights the differences between adjacent
picture elements, to sharpen an image
14Recursive filtering
- Combines a sequence of images acquired previously
in the cardiac cycle to the current image to
improve overall image quality.
100
A of the previous images are added to the
current image Current image 75 Previous
images total 25
15LAST IMAGE HOLD (LIH)
The changes in the Image processing have resulted
in a change to the appearance of the LIH Last
image hold is now a true representation of the
viewed fluoroscopic image. In that the recursive
filtration values are applied to the true last
image ! The resulting image is less noisy but
runs the risk that lag images will be seen.
16Body Guard
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