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   -> Volume 7, Issue 9

Question: A New Solution of Wavelet in Hospital or Clinic.
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tang (

PostPosted: Tue Aug 25, 1998 4:34 am    
Subject: Question: A New Solution of Wavelet in Hospital or Clinic.
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#15 Question: A New Solution of Wavelet in Hospital or Clinic.

Hi Wavelet workers,

I got a strange idea recently about wavelet application in clinical
diagnosis. We often do multiresolution procedure to view the screen
of bone or breast, but mostly we pursue highest resolution. That is
understandable because our goal is to exactly identify the structure
or tissue of the human body.

To store large amount of cases' information of patient in one clinic
or hospital is not able to be realized. Thus, we can make a data
repository in a center hospital, as bigger as possible, to save all
the image of the patients in the near clinics. In computer
technology, we have adopted the distributed data storage strategy, but
here we can do reversed. Different patients need different service.
This gives us a solution of decreasing the load of transmission
between two points (hospitals).

For example, if a image of X-ray screen is converted into digital
data, we first use wavelet transformation, and store it in the central
repository. Of course, the information must cover the whole details
of image of whole body. On demand of one patient, we can request the
server to download the specific part of details of image to the local
hospital and make analysis. If the disease is in the left kidney in
patient, we need to get higher resolution image for the left kidney
and lower resolution for the right one, heart, liver or stomach. That
can release the other unrelated data transmission task, which is the
main reason that causes the backbone network collapsed.

Transmission on demand then becomes an ideal way of solution. If the
adaptation technology is applied to it, we can avoid the peak of
transmission and go smoothly in the relatively lower amount in the

We are testing this strategy in our area. Its result is good, and the
concept is of interest. I hope the cross disciplinary research can
make the wavelet more applicable and acceptable, and make this field
more broaden.

If you have any good ideas or suggestion, would you please contact
with me at ?

Thank you.

August 25, 1998
Shanghai, China
All times are GMT + 1 Hour
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