帕金森病:使用图像处理改进诊断

2017 Photonics North (PN) Pub Date : 2017-06-01 DOI:10.1109/PN.2017.8090549

R. Guzmán-Cabrera, Margarita Gomez-Sarabia, M. Torres-Cisneros, M. A. Escobar-Acevedo, J. Guzmán-Sepúlveda

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引用次数: 3

摘要

提出了一种基于强度的纹理分割方法，用于磁共振成像中纹理特征异常区域的检测。我们的算法在来自帕金森进展标记计划(ppmi -数据库)的几张图像上进行了测试，结果表明该方法适用于成功识别和提取感兴趣的区域，其特性可能与帕金森病的特征相关。

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Parkinson's disease: Improved diagnosis using image processing

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.

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来源期刊

2017 Photonics North (PN)

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