Title
Parkinson'S Disease: Improved Diagnosis Using Image Processing
Keywords
image processing; intensity-based texture segmentation; Parkinson's disease
Abstract
An intensity-based texture segmentation approach for the detection of regions with abnormal texture characteristics in magnetic resonance imaging is presented. Our algorithm is tested over several images taken from The Parkinson's Progression Markers Initiative (PPMI-database), and the results suggest that this approach is suitable for the successful identification and extraction of regions of interest whose properties can be potentially related to signature features of Parkinson disease.
Publication Date
10-30-2017
Publication Title
2017 Photonics North, PN 2017
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/PN.2017.8090549
Copyright Status
Unknown
Socpus ID
85040562709 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85040562709
STARS Citation
Guzman-Cabrera, Rafael; Gomez-Sarabia, Margarita; Torres-Cisneros, Miguel; Escobar-Acevedo, Marco Antonio; and Guzman-Sepulveda, Jose Rafael, "Parkinson'S Disease: Improved Diagnosis Using Image Processing" (2017). Scopus Export 2015-2019. 6627.
https://stars.library.ucf.edu/scopus2015/6627