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HEALTH AND HUMAN SERVICES, DEPARTMENT OF has floated a tender for Development of Multi-Modality Multispectral Laplacian Eigenmap Embedding for Super-Resolution in Mri. The project location is USA and the tender is closing on 05 Aug 2024. The tender notice number is 24-009924, while the TOT Ref Number is 105082243. Bidders can have further information about the Tender and can request the complete Tender document by Registering on the site.
Procurement Summary
Country : USA
Summary : Development of Multi-Modality Multispectral Laplacian Eigenmap Embedding for Super-Resolution in Mri
Deadline : 05 Aug 2024
Other Information
Notice Type : Tender
TOT Ref.No.: 105082243
Document Ref. No. : 24-009924
Competition : ICB
Financier : Self Financed
Purchaser Ownership : Public
Tender Value : Refer Document
Purchaser's Detail
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Description
Statement of Need an Purpose: The purpose of this acquisition is to purchase service to develop a graph-based model for multispectral MRI datasets, based on current state-of-the art on related structures for RGB images.
Period of Performance: 8/15/2024 - 8/14/2025
Background Information and Objective: The magnetic resonance imaging (MRI) section of the National Institute on Aging (NIA) Intramural Research Program (IRP) specializes in studies of tissue response to aging, and age-related pathology. As part of this program in brain mapping in particular, NIA has a need to work with intrinsically lengthy and relatively low-resolution mapping modalities, including diffusion tensor imaging (DTI). In addition to this, depending on imaging parameters, T1- and T2-weighted images may also require lengthy imaging times and hence may exhibit low resolution. There is an ongoing need to develop methods for increased resolution without corresponding increases in imaging time. These will become central elements in our work on non-invasive diagnosis of brain tissue pathology and understanding microstructural changes that occur with aging.
One of the major open questions in aging research is how the brain and brain stem change with age, and what differentiates between healthy and non-healthy aging. This incorporates characterization of age-related pathology and disease, including Alzheimer-s disease. The MRI Section has made major advances over the past several years using data stabilization methods. However, these do not directly address the problem of the tradeoff between imaging resolution and data acquisition time.
Initial progress has been made in this area using the Laplacian eigenmap dimensionality reduction technique, in which features are extracted from low- and high-resolution imaging modalities, matched in an embedding space, and used to recover a high-resolution version of the low-resolution input image. However, this imposes what is in ef...
Active Contract Opportunity Notice ID 24-009924 Related Notice Department/Ind. Agency HEALTH AND HUMAN SERVICES, DEPARTMENT OF Sub-tier NATIONAL INSTITUTES OF HEALTH Office NATIONAL INSTITUTES OF HEALTH NIA
General Information
Contract Opportunity Type: Sources Sought (Original)
All Dates/Times are: (UTC-04:00) EASTERN STANDARD TIME, NEW YORK, USA
Original Published Date: Jul 31, 2024 12:08 pm EDT
Original Response Date: Aug 05, 2024 07:00 am EDT
Inactive Policy: 15 days after response date
Original Inactive Date: Aug 20, 2024
Initiative: None
Classification
Original Set Aside:
Product Service Code: Q301 - REFERENCE LABORATORY TESTING
NAICS Code: 541380 - Testing Laboratories and Services
Place of Performance: Baltimore, MD 21224 USA
Documents
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