Knee cartilage segmentation and thickness computation from ultrasound images (original) (raw)
Access this article
Subscribe and save
- Starting from 10 chapters or articles per month
- Access and download chapters and articles from more than 300k books and 2,500 journals
- Cancel anytime View plans
Buy Now
Price excludes VAT (USA)
Tax calculation will be finalised during checkout.
Instant access to the full article PDF.
References
- Abraham AM, Goff I, Pearce MS, Francis RM, Birrell F (2011) Reliability and validity of ultrasound imaging of features of knee osteoarthritis in the community. BMC Muscuskelet Disord 70(12):1471–2474
Google Scholar - Aisen AM, McCune WJ, MacGuire A, Carson PL, Silver TM, Jafri SZ, Martel W (1984) Sonographic evaluation of the cartilage of the knee. Radiology 153(3):781–784
Article CAS PubMed Google Scholar - Buckland-Wright JC (1994) Quantitative radiography of osteoarthritis. Ann Rheum Dis 53:268–275
Article CAS PubMed PubMed Central Google Scholar - Chan TF, Vese LA (2001) Active contours without edges. IEEE Trans Image Process 10(2):266–277
Article CAS PubMed Google Scholar - Cohen J (1960) A coefficient of agreement for nominal scales. Educ Psychol Meas 20(1):37–46
Article Google Scholar - Dodin P, Pelletier JP, Martel-Pelletier J, Abram F (2010) Automatic human knee cartilage segmentation from 3-D magnetic resonance images. IEEE Trans Biomed Eng 57(11):2699–2711
Article Google Scholar - Folkesson J, Dam EB, Olsen OF, Pettersen PC, Christiansen C (2007) Segmenting articular cartilage automatically using a voxel classification approach. IEEE Trans Biomed Eng 26(1):106–115
Google Scholar - Fripp J, Crozier S, Warfield SK, Ourselin S (2010) Automatic segmentation and quantitative analysis of the articular cartilages from magnetic resonance images of the knee. IEEE Trans Med Imag 29(1):55–63
Article Google Scholar - Graichen H, Eisenhart-Rothe R, Vogl T, Englmeier KH, Eckstein F (2004) Quantitative assessment of cartilage status in osteoarthritis by quantitative magnetic resonance imaging. Arthritis Rheum 50:811–816
Article PubMed Google Scholar - Heuer F, Sommer M, III JBR, Bottlang M (2001) Estimation of cartilage thickness from joint surface scans: comparative analysis of computational methods. In: Proceedings 2001 ASME bioengineering Conference, vol 50, pp 569–570
- Iagnocco A, Coari G, Zoppini A (1992) Sonographic evaluation of femoral condylar cartilage in osteoarthritis and rheumatoid arthritis. Scand J Rheumatol 21(4):201–203
Article CAS PubMed Google Scholar - Jackson D, Simon T, Aberman H (2001) Symptomatic articular cartilage degeneration: the impact in the new millennium. Clin Orthop Relat Res 391:14–15
Article Google Scholar - Kazam JK, Nazarian LN, Miller TT, Sofka CM, Parker L, Adler RS (2011) Sonographic evaluation of femoral trochlear cartilage in patients with knee pain. J Ultrasound Med 30(6):797–802
Article PubMed Google Scholar - Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33 (1):159–174
Article CAS PubMed Google Scholar - Li C, Huang R, Ding Z, Gatenby C, Metaxas DN, Gore JC (2011) A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI. IEEE Trans Image Process 20 (7):2007–2016
Article PubMed Google Scholar - Maurer CR, Qi R, Raghavan V (2003) A linear time algorithm for computing exact Euclidean distance transforms of binary images in arbitrary dimensions. IEEE Trans Pattern Anal Mach Intell 25(2):265–270
Article Google Scholar - Moller I, Bong D, Naredo E, Filippucci E, Carrasco I, Moragues C, Iagnocco A (2008) Ultrasound in the study and monitoring of osteoarthritis. Osteoarthr Cartil 16:S4–S7
Article PubMed Google Scholar - Mukherjee S, Acton ST (2015) Region based segmentation in presence of intensity inhomogeneity using legendre polynomials. IEEE Signal Process Lett 22(3):298–302
Article Google Scholar - Naredo E, Acebes C, Moller I, Canillas F, de Agustin JJ, de Miguel E, Filippucci E, Iagnocco A, Moragues C, Tuneu R, Uson J, Garrido J, Delgado-Baeza E, Saenz-Navarro I (2009) Ultrasound validity in the measurement of knee cartilage thickness. Ann Rheum Dis 68:1322–1327
Article CAS PubMed Google Scholar - Pakin SK, Tamez-Pena JG, Totterman S, Parker KJ (2002) Segmentation, surface extraction, and thickness computation of articular cartilage. In: Proceedings SPIE Medical Imaging 2002: Image Processing, San Diego, USA, vol 4686, pp 155–166
- Roemer FW, Crema MD, Trattnig S, Guermazi A (2011) Advances in imaging of osteoarthritis and cartilage. Radiology 260(2):332–354
Article PubMed Google Scholar - Solloway S, Hutchison C, Waterton J, Taylor C (1993) The use of active shape models for making thickness measurements of articular cartilage from MR images. Magn Reson Med 13(5):943–952
Google Scholar - Tang J, Millington S, Acton ST, Crandall J, Hurwitz S (2006) Surface extraction and thickness measurement of the articular cartilage from MR images using directional gradient vector flow snakes. IEEE Trans Biomed Eng 53(5):896–907
Article PubMed Google Scholar - Wang J, Cheng Y, Guo C, Wang Y, Tamura S (2016) Shape-intensity prior level set combining probabilistic atlas and probability map constrains for automatic liver segmentation from abdominal CT images. Int J Comput Assist Radiol Surg 11(5):817–826
Article PubMed Google Scholar - Wang L, He L, Mishra A, Li C (2009) Active contours driven by local Gaussian distribution fitting energy. Signal Process 89(12):2435–2447
Article Google Scholar - Wang XF, Min H, Zou L, Zhang YG (2015) A novel level set method for image segmentation by incorporating local statistical analysis and global similarity measurement. Pattern Recogn 48(1):189–204
Article Google Scholar - Xiao G, Brady M, Noble JA, Zhang Y (2002) Segmentation of ultrasound B-mode images with intensity inhomogeneity correction. IEEE Trans Med Imag 21(1):48–57
Article Google Scholar - Yezzi A, Prince J (2003) An eulerian PDE approach for computing tissue thickness. IEEE Trans Med Imag 22(10):1332–1339
Article Google Scholar - Yin Y, Zhang X, Williams R, Wu X, Anderson DD, Sonka M (2010) LOGISMOS–Layered optimal graph image segmentation of multiple objects and surfaces: cartilage segmentation in the knee joint. IEEE Trans Med Imag 29(12):2023–2037
Article Google Scholar - Zhang K, Zhang L, Zhang S (2010) A variational multiphase level set approach to simultaneous segmentation and bias correction. In: Proceedings IEEE International Conference Image Processing, Hong Kong, pp 4105–4108
- Zhang K, Zhang L, Song H, Zhang D (2013) Reinitialization-free level set evolution via reaction diffusion. IEEE Trans Image Process 22(1):258–271
Article PubMed Google Scholar - Zhang K, Zhang L, Lam KM, Zhang D (2016) A level set approach to image segmentation with intensity inhomogeneity. IEEE Trans Cybern 46(2):546–557
Article PubMed Google Scholar