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COMMERCE BUSINESS DAILY ISSUE OF NOVEMBER 5,1997 PSA#1966Los Alamos National Laboratory, Mail Stop C331, P.O. Box 1663, Los
Alamos, NM 87545 A -- NEURAL NETWORK BASED RECONSTRUCTION OF COMPUTED TOMOGRAPHY DATA
SOL CITPO-97-200 POC For Technical Information Contact Dr. Martin H.
Jones, Los Alamos National Laboratory, MS C914, E-mail:
martin.jones@lanl.gov. For Agreement Information Contact Linda Rowton,
Civilian and Industrial Technologies Program Office, Los Alamos
National Laboratory, MS C334, TEL (505) 665-3322, FAX (505) 665-0154,
or E-mail: Irowton@lanl.gov. The University of California, which
operates the Los Alamos National Laboratory (LANL) under contract to
the Department of Energy, solicits interest from companies wishing to
collaborate, develop and then market a unique technology related to
neural network based reconstruction of computed tomography (CT) data
(Technology). In particular, the proposed collaboration is based on the
implementation of neural networks to process and extract the required
data to produce CT slices. CT has gained a great deal of popularity in
both medical and industrial uses. CT data in this proposal may come
from a variety of sources including x-ray, neutron and ultrasonic
sensors. In general, Los Alamos has an extensive background in x-ray,
neutron and ultrasonic imaging and we offer our expertise in solving
problems related to these areas with specific industrial applications
in mind. Correspondingly, the candidate company should have a
well-developed background in neural network design and implementation
and knowledge of CT and its implementation and uses. It is expected
that this teaming of basic and applied skills will be an effective and
valuable asset for the industrial partner as well as DOE weapons
develop this technology for use by the DOE and the commercial market.
All organizations interested in collaborating with LANL to work toward
co-developing the Technology must provide proof, in a written letter
of interest, that they satisfy the following minimum criteria:
Interested parties must possess, or have access to, existing
capabilities in research, development, marketing and support services
in the domestic marketplace, preferably related to this technology.
Such organizations with expertise in the above-mentioned areas must
respond with a statement of interest that demonstrates the
organization's solid engineering, testing, technical expertise, and
operational support capabilities, and motivation for participating in
this program. This opportunity is not a procurement solicitation. Any
interested organization selected as a partner will be expected to work
under a Cooperative Research and Development Agreement (CRADA) or a
Funds-In Agreement (FIA) to continue the development of this technology
and adaptation to other applications. All letters of interest must be
received by no later than 10 working days from the date of this notice.
The letter of interest must contain all of the above requested
information or the submitting organization will not be considered as a
possible candidate for partnership. For more information about other
available technologies at LANL see the DOE Technology Information
Network (DTIN) at http://www.dtin.doe.gov/. (0307) Loren Data Corp. http://www.ld.com (SYN# 0010 19971105\A-0010.SOL)
A - Research and Development Index Page
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