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                            Funding & Awards
 Facilitating Forensic Research in Multiple Fields Using a Unique Computed Tomography Dataset
Award Information
Awardee
              UNIVERSITY OF NEW MEXICO, THE
Award #
              2016-DN-BX-0144
Funding Category
              Competitive Discretionary
Location
                    ALBUQUERQUE, NM
Congressional District
              1
Status
              Closed
Funding First Awarded
              2016
Total funding (to date)
              $702,654
Original Solicitation
              Research and Development in Forensic Science for Criminal Justice Purposes
Description of original award (Fiscal Year 2016, $702,654)
As submitted by the proposer:
We will develop a complete, ready to use, user-friendly, large-scale, next generation free access data resource that will allow research in forensic anthropology, pathology, and radiology. The projects primary outcome consist of:
A website that will provide metadata regarding a dataset of 11,000 full-body computed tomography (CT) scans of unembalmed human decedents. Each individual is represented by ~12,000 images. Researchers will request the scans that meet their research requirements and will receive the scans on portable hard drives. This resource will allow a multitude of new, next generation, big data research endeavors in forensic anthropology and medico-legal death investigations. By providing access to 11,000 whole-body CT scans, this resource will enable research that is currently impossible. Due to funding, access, and other limitations, no single researcher could create the resource we will develop. However, by leveraging the products of past funding by the State of New Mexico and the National Institute of Justice we are able to produce this invaluable resource. Further, our team has in-depth past experience developing a similar research resource.
The whole-body CT data and associated metadata we will standardize, curate, and make available allows whole-body questions to be asked, within individuals and within a population. Just a few areas in which new research projects would be possible once this database has been created include: detecting child abuse through a better understanding of childhood health and bone density; survivability of trauma to the body in unhelmeted motorcycle deaths; refinement of aging and sexing methods; and lean and fat body mass estimation from the skeleton. The information made available by this project will allow these analyses and many others in forensic science.
Note:  This project contains a research and/or development component, as defined in applicable law.
ca/ncf



  
Grant-Funded Publications
        
                      Error and bias in race and ethnicity descriptions in medical examiner records in New Mexico: Consequences for understanding mortality among Hispanic/Latinos
                  Additive Effects of Diabetes and Lower-Limb Amputation on Osteoarthritis with Comparison to Diabetic and Healthy Controls
                  Musculoskeletal Differences Between Amputated and Non-Amputated Lower Limbs
                  Synthetic patient-specific whole-body CT for the calculation of peripheral dose during radiotherapy
                  Ontogenetic variation in human nasal morphology
                  Facilitating Forensic Research in Multiple Fields Using a Unique Computed Tomography Dataset
                  Announcement: The New Mexico Decedent Image Database
                  Acetabular shape and orientation of the spastic hip in children with cerebral palsy
                  Developing the Minimum Dataset for the New Mexico Decedent Image Database
                  Facilitating Multidisciplinary Forensic Research Using A Unique Computed Tomography Dataset
                  NMDID: A New Research Resource for Biological Anthropology
                  Research From Records: Retrieving and Sharing Useful Data From a Non-research Database
                  Standardizing Data From the Dead
                  Using Advanced Imaging Technologies To Enhance Autopsy Practices
                                                                      NIJ Journal,
                  Development of a Large-Scale, Whole-Body CT Image Database

  
Date Created: September 16, 2016
    
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