Analyze Diet

Image fusion of computed tomographic and magnetic resonance images for the development of a three-dimensional musculoskeletal model of the equine forelimb.

Abstract: Biomechanical models that compute the lengths and forces of muscle-tendon units are broadly applicable to the study of factors that promote injury and the planning and effects of orthopedic surgical procedures in equine athletes. A three-dimensional (3D) generic musculoskeletal model of the equine forelimb comprised of bony segment, muscle-tendon, and ligament information, was developed based on high-resolution computed tomographic (CT) and T1-weighted magnetic resonance (MR) images from an isolated forelimb of a Thoroughbred racehorse. Image fusion was achieved through coregistration of CT and MR images with an image analysis program (Analyze) by adjustment of the relative position and orientation of fiducial markers visible in both modalities until the mutual information between the images was maximized. 3D surfaces of the bones and origin/insertion sites, centroid paths and volumes of the muscle-tendon and ligamentous structures were obtained from the multimodal (CT/MR) images using semiautomated and manual segmentation combined with sagittal and transverse color-cryosection anatomic images obtained from three other cadaveric equine forelimbs. Once bony and soft-tissue structures were reconstructed in the same coordinate system, data were imported to a software package for interactive musculoskeletal modeling (SIMM). The combination of integrated CT and MR acquisitions and anatomical images provided an accurate and efficient means of generating a 3D model of the musculoskeletal structures of an average-sized equine adult horse.
Publication Date: 2006-12-13 PubMed ID: 17153064DOI: 10.1111/j.1740-8261.2006.00185.xGoogle Scholar: Lookup
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  • Evaluation Study
  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

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The research is centered on making a three-dimensional model of a horse’s forelimb using both CT and MRI scans. The focus of the study is largely applicable in studying factors that prompt injuries and planning orthopedic surgeries.

Objectives and Methodology

  • The primary aim of this research is to devise a 3D general model of a horse’s forelimb, focusing on its bones, muscle-tendon units, and ligaments. The researchers relied on high-resolution CT and T1-weighted MR images from a Thoroughbred racehorse’s detached forelimb.
  • The fusion of images was attained by co-registering the CT and MR images through an image analysis software called Analyze. The software allowed adjustments in the position and orientation of tangible markers noticeable in both imaging modalities until the mutual data between the images was amplified.
  • The multimodal images (CT/MR) after fusion were then made use of to derive 3D outlines of the bones and source/attachment sites, paths from the center and volumes of the muscle-tendon and ligamentous structures. The researchers used semi-automated and manual segmentation combined with sagittal and transverse color-cryosection anatomic images obtained from three other cadaveric equine forelimbs for this purpose.

Data Import and Results

  • Once the soft tissue and bony structures were recreated in the same coordinate system, the data was then transferred to a software package called SIMM which is designed for interactive musculoskeletal modeling.
  • The combination of the CT and MR images data acquisition and the anatomical images contributed to an efficient and accurate generation of a 3D model of an average-sized equine adult horse’s musculoskeletal structures.

Applications and Implications

  • The 3D model created in this research can be extensively applied to studying factors contributing to injuries in equine athletes. This also can help in planning and evaluating the impact of orthopedic surgical procedures in horses.
  • The research demonstrates the potential of the combined use of CT and MRI scans for advanced imaging and modeling purposes. The process could also be applied to other animals and potentially to human medical research.

Cite This Article

APA
Zarucco L, Wisner ER, Swanstrom MD, Stover SM. (2006). Image fusion of computed tomographic and magnetic resonance images for the development of a three-dimensional musculoskeletal model of the equine forelimb. Vet Radiol Ultrasound, 47(6), 553-562. https://doi.org/10.1111/j.1740-8261.2006.00185.x

Publication

ISSN: 1058-8183
NlmUniqueID: 9209635
Country: England
Language: English
Volume: 47
Issue: 6
Pages: 553-562

Researcher Affiliations

Zarucco, Laura
  • J. D. Wheat Veterinary Orthopedic Research Laboratory, School of Veterinary Medicine, University of California, Davis, CA, USA. lzarucco@vet.upenn.edu
Wisner, Erik R
    Swanstrom, Michael D
      Stover, Susan M

        MeSH Terms

        • Animals
        • Female
        • Forelimb / anatomy & histology
        • Forelimb / diagnostic imaging
        • Forelimb / pathology
        • Horses / anatomy & histology
        • Imaging, Three-Dimensional / veterinary
        • Magnetic Resonance Imaging / veterinary
        • Models, Biological
        • Musculoskeletal System / anatomy & histology
        • Musculoskeletal System / diagnostic imaging
        • Musculoskeletal System / pathology
        • Tomography, X-Ray Computed / veterinary

        Citations

        This article has been cited 6 times.
        1. Demuth OE, Herbst E, Polet DT, Wiseman ALA, Hutchinson JR. Modern three-dimensional digital methods for studying locomotor biomechanics in tetrapods. J Exp Biol 2023 Apr 25;226(Suppl_1).
          doi: 10.1242/jeb.245132pubmed: 36810943google scholar: lookup
        2. Trolinger-Meadows KD, Biedrzycki AH, He H, Werpy N. Three-Dimensional Segmentation and in silico Comparison of Equine Deep Digital Flexor Tendon Pathology in Horses Undergoing Repeated MRI Examination. Front Vet Sci 2021;8:706046.
          doi: 10.3389/fvets.2021.706046pubmed: 34746274google scholar: lookup
        3. Van Houtte J, Vandenberghe F, Zheng G, Huysmans T, Sijbers J. EquiSim: An Open-Source Articulatable Statistical Model of the Equine Distal Limb. Front Vet Sci 2021;8:623318.
          doi: 10.3389/fvets.2021.623318pubmed: 33763462google scholar: lookup
        4. Hutchinson JR, Rankin JW, Rubenson J, Rosenbluth KH, Siston RA, Delp SL. Musculoskeletal modelling of an ostrich (Struthio camelus) pelvic limb: influence of limb orientation on muscular capacity during locomotion. PeerJ 2015;3:e1001.
          doi: 10.7717/peerj.1001pubmed: 26082859google scholar: lookup
        5. Gyftopoulos S, Yemin A, Mulholland T, Bloom M, Storey P, Geppert C, Recht MP. 3DMR osseous reconstructions of the shoulder using a gradient-echo based two-point Dixon reconstruction: a feasibility study. Skeletal Radiol 2013 Mar;42(3):347-52.
          doi: 10.1007/s00256-012-1489-zpubmed: 22829026google scholar: lookup
        6. van Bijlert PA, Geijtenbeek T, Smit IH, Schulp AS, Bates KT. Muscle-Driven Predictive Physics Simulations of Quadrupedal Locomotion in the Horse. Integr Comp Biol 2024 Sep 27;64(3):694-714.
          doi: 10.1093/icb/icae095pubmed: 39003243google scholar: lookup