Pose-matching MRI-CT co-registration via dynamic X-ray for creating subject-specific neck musculoskeletal models.

Details

• Personal Author:
  Reddy C ; Wan B ; Yin W ; Zhang X ; Zhou Y
• Description:
  Magnetic resonance imaging (MRI) and computed tomography (CT) are commonly used as the "gold standard" to image soft and hard tissues, respectively. The reconstructed 3D muscular models from MRI and skeletal models from CT must be combined in order to create subject-specific musculoskeletal models. However, this MRI-CT co-registration is challenging for complex structures with a substantial number of degrees of freedom such as the cervical spine, because the poses used in two modalities would not have completely coincided. In addition, due to its complex 3D geometry, vertebral bone models segmented from MRI can be subject to volume loss as compared to CT-based bone models, which further compounds the uncertainty and difficulty in the co-registration process. In this study, we present a novel approach that takes advantage of dynamic X-ray data to identify the best matching pose and employs principal component analysis (PCA) to align the bones, thus optimizing the creation of subject-specific neck musculoskeletal models. Description provided by NIOSH
• Subjects:
  • Biomechanical Phenomena
  • Musculoskeletal System
  • Occupational Health
  • Safety
• Keywords:
  • Biomechanics; Biomechanical modeling; Imaging techniques; Musculoskeletal system; MRI; Magnetic resonance imaging; Models
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Abstract or Summary
• Place as Subject:
  OSHA Region 6 ; Texas
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  78
• NIOSHTIC Number:
  nn:20064814
• Citation:
  vASB2020: Proceedings of the American Society of Biomechanics 44th Annual Meeting, August 4-7, 2020, virtual event. Newark, DE: American Society of Biomechanics, 2020 Aug; :78
• Email:
  xudongzhang@tamu.edu
• Federal Fiscal Year:
  2020
• Performing Organization:
  Texas Engineering Experiment Station
• Peer Reviewed:
  False
• Start Date:
  20150901
• Source Full Name:
  vASB2020: Proceedings of the American Society of Biomechanics 44th Annual Meeting, August 4-7, 2020, virtual event
• End Date:
  20190831
• Download URL:
  https://stacks.cdc.gov/view/cdc/249246/cdc_249246_DS1.pdf
• File Type:
  [PDF - 531.03 KB]
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:cc4bae96d472b4d683dafddd0c352e117f95e34f29d41f1a87129964ffd9a9e90cbc5bf661e87a5215ae81b16f0eed79098ff8cf4623a1fcf2a1a66506473732