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MR image texture in Parkinson's disease: a longitudinal study
- Source :
- Acta radiologica (Stockholm, Sweden : 1987). 56(1)
- Publication Year :
- 2014
-
Abstract
- Background Few of the structural changes caused by Parkinson’s disease (PD) are visible in magnetic resonance imaging (MRI) with visual inspection but there is a need for a method capable of observing the changes beyond the human eye. Texture analysis offers a technique that enables the quantification of the image gray-level patterns. Purpose To investigate the value of quantitative image texture analysis method in diagnosis and follow-up of PD patients. Material and Methods Twenty-six PD patients underwent MRI at baseline and after 2 years of follow-up. Four co-occurrence matrix-based texture parameters, describing the image homogeneity and complexity, were calculated within clinically interesting areas of the brain. In addition, correlations with clinical characteristics (Unified Parkinson’s Disease Ranking Scales I–III and Mini-Mental State Examination score) along with a comparison to healthy controls were evaluated. Results Patients at baseline and healthy volunteers differed in their brain MR image textures mostly in the areas of substantia nigra pars compacta, dentate nucleus, and basilar pons. During the 2-year follow-up of the patients, textural differences appeared mainly in thalamus and corona radiata. Texture parameters in all the above mentioned areas were also found to be significantly related to clinical scores describing the severity of PD. Conclusion Texture analysis offers a quantitative method for detecting structural changes in brain MR images. However, the protocol and repeatability of the method must be enhanced before possible clinical use.
- Subjects :
- Male
medicine.medical_specialty
Longitudinal study
Parkinson's disease
Texture (music)
Sensitivity and Specificity
Image texture
Healthy volunteers
Image Interpretation, Computer-Assisted
medicine
Humans
Radiology, Nuclear Medicine and imaging
Longitudinal Studies
Aged
Aged, 80 and over
Radiological and Ultrasound Technology
medicine.diagnostic_test
business.industry
Brain
Reproducibility of Results
Magnetic resonance imaging
Parkinson Disease
General Medicine
Middle Aged
medicine.disease
Image Enhancement
Magnetic Resonance Imaging
medicine.anatomical_structure
Human eye
Female
Radiology
Mr images
business
Algorithms
Subjects
Details
- ISSN :
- 16000455
- Volume :
- 56
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Acta radiologica (Stockholm, Sweden : 1987)
- Accession number :
- edsair.doi.dedup.....ce222eea8f568717cc628c1c85de68d0