Computational Vision and Bio Inspired Computing pp 528-541 | Cite as
Detection of Menisci Tears in Sports Injured and Pathological Knee Joint Using Image Processing Techniques
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Abstract
In many physical and sports activity, knee joint encounters extreme level of stresses leading to traumatic injury. The menisci are located between the tibial plateau and femoral condyles. These menisci act to distribute body weight evenly across the knee joint. Any damage to menisci may lead to uneven weight distribution and cause the development of abnormal excessive forces leading to early damage of the knee joint. Menisci act as ‘shock absorbers’ between femur and tibia, and prevent the lateral movement of the joint when the knee is fully extended. It also helps to provide a lubricating effect on the knee joint, provides some degree of stability, and is essential for the normal biomechanics of the knee joint. The menisci are often injured, particularly during athletics. Magnetic resonance imaging (MRI) is the widely used imaging modality in detection of menisci injuries. There is a chance of missing visibility of menisci tears in MRI during diagnosis. In this work, image processing method based on seeded region growing is developed to detect and visualize menisci tears from MRI. The segmentation accuracy is evaluated using dice similarity coefficient (DSC). The developed method segments the menisci from knee joint MRI with good accuracy and visualizes the tears in different compartments of menisci. The developed method is helpful in treatment and surgery planning of knee joint injured patients.
Keywords
Menisci tears Seeded region growing algorithm MRI Biomechanics of kneeNotes
Acknowledgements
J. S. S. Medical College and Hospital, J. S. S. University, Mysuru, INDIA for providing MRI data set.
References
- 1.Levangie, P.K., Norkin, C.C.: Joint structure and function a comprehensive analysis, 4th edn. F.A. Davis Company, Philadephia (2006)Google Scholar
- 2.Torn Meniscus Guide: Causes, symptoms and treatment options. Available, at https://www.drugs.com/health-guide/torn-meniscus.html. (2000)
- 3.Bronzino, J.D.: The biomedical engineering handbook, 3rd edn. CRC Press (2006)Google Scholar
- 4.McCarty, E.C., Marx, R.G., Wickiewicz, T.L.: Meniscal tears in the athlete operative and nonoperative management. Phys. Med. Rehabil. Clin. N. Am. 11(4), 867–880 (2000)Google Scholar
- 5.Skinner, H.B.: Current diagnosis & treatment in orthopedics. Available at http://www.accessmedicine.com/. (2006)
- 6.De Smet, A.A.: How I diagnose meniscal tears on knee MRI. Am. J. Roentgenol. 199, 481–499 (2012)Google Scholar
- 7.De Smet, A.A., Mukherjee, R.: Clinical, MRI, and arthroscopic findings associated with failure to diagnose a lateral meniscal tear on knee MRI. Am. J. Roentgenol. 190, 22–26 (2008)Google Scholar
- 8.Wang, Y., Yu J., Luo, H., Yu, C., Ao, Y., Xie, X., Jiang, D., Zhang, J.: An anatomical and histological study of human meniscal horn bony insertions and peri-meniscal attachments as a basis for meniscal transplantation. Chinese Med. J. 122(5), 536–540 (2009)Google Scholar
- 9.Jaovisidha, S., Virayavanich, W., Woratanarat, P., Siriwongpairat, P.: Three-Tesla MRI diagnosis of meniscal tears of the knee. J. Med. Assoc. Thai 92(12), 1662–1668 (2009)Google Scholar
- 10.Stone, K.R., Abhi Freyer, B.A.S., Thomas Turek, B.S., Ann W Walgenbach, R.N, Wadhwa, S., Crues, J.: Meniscal sizing based on gender, height and weight. Arthrosc. J. Arthroscopic Relat. Surg. 23(5), 503–508 (2007)Google Scholar
- 11.Adams, Rolf, Bischof, Leanne: Seeded region growing. IEEE Trans. Pattern Anal. Mach. Intell. 16, 641–647 (1994)CrossRefGoogle Scholar
- 12.Mallikarjunaswamy, M.S., Holi, M.S., Raman, R.: Knee joint menisci segmentation, visualization and quantification using seeded region growing algorithm. J. Med. Imaging Health Inform. 5(3), 552–560 (2015)CrossRefGoogle Scholar
- 13.Yoshioka, H., Schlechtweg, P.M., Kose, K.: Imaging of arthritis and metabolic bone diseases in clinical magnetic resonance imaging (MRI). Elsevier Health Sciences, pp. 34–48 (2009)Google Scholar