Bayesian inference for model-based segmentation of computed radiographs of the hand

Computer‐based measurements of joint space analysis using metacarpal morphometry in hand radiograph for evaluation of rheumatoid arthritis

“…applied the model‐based system and obtained clinically useful quantitative parameters from the segmented image of bones from digital hand radiographs. Levitt et al . used a Bayesian inference approach to automatically segment and measure the symptoms of arthritis in hand radiographs.…”

“…Micheal et al 12 applied the model-based system and obtained clinically useful quantitative parameters from the segmented image of bones from digital hand radiographs. Levitt et al 14 used a Bayesian inference approach to automatically segment and measure the symptoms of arthritis in hand radiographs. Other works dealt with the automatic segmentation of hand radiographs using active shape models 15 and the Tanner and Whitehouse method for assessing skeletal maturity.…”

Model-based segmentation of the middle phalanx in digital radiographic images of the hand

“…Region- [12], classification- [13][14] and threshold-based [15] segmentation techniques have been used to segment various bones in radiographic images. We apply active shape models (ASM) [16] and deformable models [17] for segmentation of the middle phalanx of the middle finger in digital radiographic images of the left hand.…”

Hand bone segmentation in radioabsorptiometry images for computerised bone mass assessment

“…Some other works have dealt with the problem of automatic segmentation of hand radiographs applying it for assessing skeletal maturity [12 -14] or arthritis [15]. Most of these works develop methods for segmentation based on region analysis [13,14] or methods based in the classification of given regions either using neural networks [12] or Bayesian models [15]. The works more related to osteoporosis, focus either on analysis of the trabecular bone structure [16 -18] or on the assessment of the bone mineral density [18].…”