Automated and optimal detection of 3D articular cartilage using undecimated wavelets in MRI

Author:

Aarya Isshaa,Jiang Danchi

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Reference36 articles.

1. Cicuttini, F.M., Forbes, A., Yuanyuan, W., Rush, G., Stuckey, S.L.: Rate of knee cartilage loss after partial meniscectomy. J. Rheumatol. 29(9), 1954–1956 (2002)

2. Kumar D., Hani A.F.M., Malik A., Kamil R., Razak R., Kiflie A.: Development of a non-invasive diagnostic tool for early detection of knee osteo arthritis. In: National postgraduate conference (NPC), pp. 1–6. (2011). doi: 10.1109/NatPC.2011.6136338

3. Solloway, S., Hutchinson, C.E., Waterton, J.C., Taylor, C.J.: The use of active shape models for making thickness measurements of articular cartilage from MR images. Magn. Reson. Med. 37(6), 943–952 (1997)

4. Pham, D.L., Xu, C., Prince, J.L.: Current methods in medical image segmentation 1. Ann. Rev. Biomed. Eng. 2(1), 315–337 (2000)

5. Kapur T., Beardsley P., Gibson S., Grimson W., Wells W.: Model-based segmentation of clinical knee mri. In: Proceedings of IEEE international workshop on model-based 3D image analysis, Citeseer, pp. 97–106 (1998)

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