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Transcranial Ultrasonographic Image Analysis System for Decision Support in Parkinson Disease.
- Source :
- Journal of Ultrasound in Medicine; Jul2018, Vol. 37 Issue 7, p1753-1761, 9p
- Publication Year :
- 2018
-
Abstract
- Objectives: Transcranial ultrasonography (US) is a relatively new neuroimaging modality proposed for early diagnostics of Parkinson disease (PD). The main limitation of transcranial US image‐based diagnostics is a high degree of subjectivity caused by low quality of the transcranial images. The article presents a developed image analysis system and evaluates the potential of automated image analysis on transcranial US. Methods: The system consists of algorithms for the segmentation and assessment of informative brain regions (midbrain and substantia nigra) and a decision support subsystem, which is equipped with 64 classification algorithms. Transcranial US images of 191 participants (118 patients with a clinical PD diagnosis and 73 healthy control participants) were analyzed. Results: The diagnostic sensitivity and specificity achieved by the proposed system were 85% and 75%, respectively. Conclusions: Digital transcranial US image analysis is challenging, and the application of a such system as the sole instrument for decisions in clinical practice remains inconclusive. However, the proposed system could be used as a supplementary tool for automated assessment of US parameters for decision support in PD diagnostics and to reduce observer variability. [ABSTRACT FROM AUTHOR]
- Subjects :
- PARKINSON'S disease
ULTRASONIC imaging
IMAGE analysis
ALGORITHMS
BRAIN
Subjects
Details
- Language :
- English
- ISSN :
- 02784297
- Volume :
- 37
- Issue :
- 7
- Database :
- Complementary Index
- Journal :
- Journal of Ultrasound in Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 130919062
- Full Text :
- https://doi.org/10.1002/jum.14528