Knee cartilage segmentation and thickness computation from ultrasound images
Quantitative thickness computation of knee cartilage in ultrasound images requires segmentation of a monotonous hypoechoic band between the soft tissue-cartilage interface and the cartilage-bone interface. Speckle noise and intensity bias captured in the ultrasound images often complicates the segme...
Main Authors: | Faisal, Amir, Ng, Siew Cheok, Goh, Siew Li, Lai, Khin Wee |
---|---|
Format: | Article |
Published: |
Springer Verlag
2018
|
Subjects: |
Similar Items
-
Automated detection of knee cartilage region in X-ray image
by: Teo, Jia Chern, et al.
Published: (2022) -
Autologous chondrocyte transplantation in the repair of full-thickness focal cartilage damage in rabbits
by: Kamarul, Tunku, et al.
Published: (2008) -
The effects of channa striatus compared with glucosamine sulphate in serum cartilage and inflammatory markers in knee osteoarthritis patients
by: Koon, Tan Say
Published: (2019) -
The unified extreme learning machines and discriminative random fields for automatic knee cartilage and meniscus segmentation from multi-contrast MR images
by: Zhang, Kunlei, et al.
Published: (2013) -
Detection of knee chondral defect by 3-dimensional water selective for cartilage sequence (3d watsc) in 3.0 t magnetic resonance imaging
by: Ghazali, Fattah Rahiman
Published: (2021)