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Correlation Study of MRI Area of Lumbar Disc Degeneration with Pfirrmann Grading

Published: 09 December 2022 Publication History

Abstract

The correlation between the modified Pfirrmann grading and the MRI area of lumbar disc degeneration is investigated, which provide a quantitative method for the diagnostic grading of lumbar disc degeneration. MRI data of 60 cases with different degrees of lumbar disc degeneration are collected. Use the threshold segmentation technology to divide the target area in the MRI image, then calculate the segmentation threshold based on the image gray histogram, then segment the image according to the threshold, select the threshold by maximizing the interclass variance between, and then calculate the height of the intervertebral disc and the area of the intervertebral foramen in the MRI image. Combined with the doctor's diagnosis, the improved Pfirmann classification of 60 patients is obtained. According to the corresponding relationship between the intervertebral foramen area of MRI images and the modified Pfirrmann classification, the higher the modified pfirmann classification, the smaller the intervertebral foramen area of intervertebral discs. There is a certain correlation between the area of intervertebral foramen in MRI images and the modified Pfirmann classification. The area of lumbar intervertebral foramen in MRI images provides a quantitative method for the diagnosis and classification of lumbar disc degeneration.

References

[1]
Wang EJ, Zhang H(2017). Exploring the correlation between TCM evidence and Western pathology of lumbar intervertebral disc herniation based on imaging per s pective. Western Traditional Chinese Medicine, 30(02),131-133.
[2]
Romeo V, Covello M, Salvatore E, (2019). High prevalence of spinal magnetic resonance imaging findings in asymptomatic young adults (18-22 yrs) candidate to air force flight,44(12),872-878.
[3]
Runze,Zhao,Wanqian,Liu,Tingting,Xia(20190. Disordered Mechanical Stress and Tissue Engineering Therapies in Intervertebral Disc Degeneration.Polymers,11(7),1151.
[4]
Obmann,Verena C., Marx, Christina, Berzigotti, Annalisa (2019). Liver MRI susceptibility-weighted imaging (SWI) compared to T2*mapping in the presence of steatosis and fibrosis. European Journal of Radiology, 11866-74.
[5]
Huang L, Liu Y, Ding Y, (2017). Quantitative evaluation of lumbar intervertebral disc degeneration by axial T2* mapping. Medicine, 96(51),9393.
[6]
Hu J, Zhang Y, Duan C, (2017). Feasibility study for evaluating early lumbar facet joint degeneration using axial T(1) ρ, T(2), and T2* mapping in cartilage. Journal of magnetic resonance imaging, 46(2), 468-475.
[7]
Zhang, W.-L(2020). Multimodal quantitative magnetic resonance study of lumbar intervertebral disc degeneration and lower back pain. China Medical University.
[8]
B P(1996). Review of Gross Anatomy. New York: McGraw-Hill Medical.
[9]
KLM, AF D(2006). Clinically Oriented Anatomy. 5th. Baltimore: Lippincott Williams & Wilkins.
[10]
Zhong W,Driscoll SJ, Tsai TY, (2015). In vivo dynamic changes of dimensions in the lumbar intervertebral foramen. The Spine Journal, 15(7),1653-1659.
[11]
Panjabi M M, Takata K, Goel V K(1983). Kinematics of lumbar intervertebral foramen[J]. Spine (Phila Pa 1976), 8(4),348-357.
[12]
Singh V, Montgomery SR, Aghdasi B, (2013). Factors affecting dynamic foraminal stenosis in the lumbar spine. The Spine Journal, 13(9),1080-1087.
[13]
Ren Huorong(2004), Mathematical Morphology and its Applications, Xi'an; Xi'an University of Electronic Science and Technology.
[14]
Yu L(2005). Based on mathematical morphology and its applications. Changsha: National University of Defense Technology.
[15]
Kang Henry and StamoulisIoannis(2021). Gaussian Image Binarization. International Journal of Image and Graphics, 21(04).
[16]
Yang P, Song W, Zhao XB, (2020). An improved Otsu threshold segmentation algorithm. International Journal of Computational Science and Engineering, 22(1):146-153.
[17]
Lee JH, Yoon YC, Park KJ, (2017). Diagnosis of internal derangement of the knee: volume isotropic turbo spin-echo acquisition MRI with fat suppression versus without fat suppression. AJR Am J Roentgenol, 208(6): 1304-1311.

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cover image ACM Other conferences
ISAIMS '22: Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences
October 2022
594 pages
ISBN:9781450398442
DOI:10.1145/3570773
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 December 2022

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Author Tags

  1. Lumbar disc degeneration
  2. MRI
  3. image processing
  4. modified Pfirrmann classification

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ISAIMS 2022

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Overall Acceptance Rate 53 of 112 submissions, 47%

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