Spine disc MR image analysis using improved independent component analysis based active appearance model and Markov random field / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 6-15, 2010.
Article
in Chinese
| WPRIM
| ID: wpr-244617
ABSTRACT
As there are not many research reports on segmentation and quantitative analysis of soft tissues in lumbar medical images, this paper presents an algorithm for segmenting and quantitatively analyzing discs in lumbar Magnetic Resonance Imaging (MRI). Vertebrae are first segmented using improved Independent component analysis based active appearance model (ICA-AAM), and lumbar curve is obtained with Minimum Description Length (MDL); based on these results, fast and unsupervised Markov Random Field (MRF) disc segmentation combining disc imaging features and intensity profile is further achieved; finally, disc herniation is quantitatively evaluated. The experiment proves that the proposed algorithm is fast and effective, thus providing doctors with aid in diagnosing and curing lumbar disc herniation.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Pathology
/
Algorithms
/
Magnetic Resonance Imaging
/
Image Interpretation, Computer-Assisted
/
Markov Chains
/
Diagnosis
/
Intervertebral Disc
/
Intervertebral Disc Displacement
/
Lumbar Vertebrae
/
Methods
Type of study:
Controlled clinical trial
/
Diagnostic study
/
Health economic evaluation
Limits:
Humans
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2010
Type:
Article
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