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Development of Novel Imaging and Image Modeling Techniques for the Assessment and Quantification of Inter-Vertebral Motion Using MRI

Mahato, Niladri Kumar
http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1470841487

Abstract Details

2016, Doctor of Philosophy (PhD), Ohio University, Biological Sciences (Arts and Sciences).
Low back pain (LBP) is the leading cause of disability worldwide with more than eight hundred billion dollars of direct and indirect costs associated with LBP being incurred annually in the US alone. About 80-90% of all LBP patients do not have a definitive diagnosis of the etiology of pain, and are grouped under the non-specific LBP cohort. A group of such patients with unspecified etiology for their back pain are believed to have their LBP due to un-controlled and often, more than normal segmental motion involving one or more of their lumbar vertebrae. As such, many surgical treatments for LBP are directed at reducing inter-vertebral motion at and around an affected segment. The most common approaches for quantifying vertebral motion are based on radiographic assessments, which in many cases preclude scientific inquiry (e.g., use of high radiation equipment is not permitted for scientific investigations in some states, and, even when permitted, presents a major roadblock for serial assessments). This project was undertaken to develop and examine the feasibility, reliability and accuracy of a technique that used magnetic resonance (MR) images, custom built 3-D models and animations of spine-segment motion to quantify displacements in a calibrated imaging space. Experiment 1 explored the feasibility of developing an MRI-based spine kinematics quantification technique that involved (i) creating MRI compatible solid-body objects, (ii) scanning axial images of the objects in the MRI machine to create static 3-D virtual models of the solid-bodies, (iii) scanning the solid bodies as they were displaced within the MR imaging space through pre-determined magnitudes, and (iv) using images from the displacement trials to create background 'scenes’ in an animation software where the user performed an image-to-model matching. This process called `rotoscoping’, resulted in reliable quantification of the displacements achieved with the technique developed in this aim (see Chapter 3 for full results). Experiment 2 examined the accuracy and reliability of the MRI-based quantification technique developed in experiment 1. Porcine spine segments were used for quantification of spine motion using a standard T1 weighted sequence and a novel 2D HYCE S (streaming) sequence. The spine segments were moved through specified measures within a custom-built device that was used to move the spine segments relative to each other through precise magnitudes of translation and rotation displacements. The images from the motion trials were used to create 3-D animations for quantifying inter-vertebral motion (translation and rotation) in the sagittal and coronal planes. The results from this experiment show that fairly accurate and reliable quantification of inter-vertebral motion can be performed using this technique (seeChapter 4 for full results). The analysis performed in the third experiment explored the potential for weight-bearing MRI using T2 weighted images and a semi-automated segmentation technique developed for quantifying and comparing changes in sagittal plane translation, rotationand spinal canal morphology under different loading conditions of the spine. Results from this case study showed that compressive loading induced appreciable changes in vertebral translation and rotation, spinal canal cross sectional area, lateral foraminal morphology between supine, standing upright, and upright with additional loading (10% of body mass) in a patient with recurrent disc herniation. Together, the results from these three experiments provide evidence and support to the feasibility of developing an exclusive technique based on MR imaging, image modeling and animation technique to quantify inter-vertebral motion. This work represents one of the first attempts to apply an MRI-only technique for quantification of inter-vertebral motion with 3-D modeling and animation. This work provides insights into the usage of dynamic/streaming imaging sequences that may be used to scan real-time motion trials for quantification of real-time spine motion. Evidence from this work also supports the notion that supine vs. standing vs. standing and loaded spine-positions are associated with quantifiable changes in inter-vertebral morphological parameters. These findings indicate that the development of automated segmentation based 3-D modeling of MR images acquired with advanced sequences may be able to perform fast multiplanar, real-time vertebral motion quantification in the near future to investigate, optimize treatment and rehabilitation strategies in LBP.
Brian Clark, Ph.D. (Committee Chair)
Susan Williams, Ph.D. (Committee Member)
Robert Staron, Ph.D (Committee Member)
234 p.
Anatomy and Physiology; Biomedical Research; Medical Imaging
low back Pain; imaging; MRI; porcine model, spine motion; translation; rotation; weight-bearing; XROMM; rotoscoping; dynamic; disc-herniation

Recommended Citations

Citations

  • Mahato, N. K. (2016). Development of Novel Imaging and Image Modeling Techniques for the Assessment and Quantification of Inter-Vertebral Motion Using MRI [Doctoral dissertation, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1470841487

    APA Style (7th edition)

  • Mahato, Niladri. Development of Novel Imaging and Image Modeling Techniques for the Assessment and Quantification of Inter-Vertebral Motion Using MRI. 2016. Ohio University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1470841487.

    MLA Style (8th edition)

  • Mahato, Niladri. "Development of Novel Imaging and Image Modeling Techniques for the Assessment and Quantification of Inter-Vertebral Motion Using MRI." Doctoral dissertation, Ohio University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1470841487

    Chicago Manual of Style (17th edition)

ohiou1470841487
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This open access ETD is published by Ohio University and OhioLINK.